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Python?\n", @@ -86,7 +86,7 @@ }, { "cell_type": "markdown", - "id": "cd0f47db", + "id": "f5e3e0e0", "metadata": {}, "source": [ "### Common Uses\n", @@ -127,7 +127,7 @@ }, { "cell_type": "markdown", - "id": "60297aef", + "id": "dab6042b", "metadata": {}, "source": [ "### Relative Popularity\n", @@ -160,7 +160,7 @@ }, { "cell_type": "markdown", - "id": "ed1a44dd", + "id": "14a51523", "metadata": {}, "source": [ "### Features\n", @@ -177,7 +177,7 @@ }, { "cell_type": "markdown", - "id": "48e81b09", + "id": "c4291234", "metadata": {}, "source": [ "### Syntax and Design\n", @@ -199,7 +199,7 @@ }, { "cell_type": "markdown", - "id": "0ffd1966", + "id": "5446d71e", "metadata": {}, "source": [ "## Scientific Programming\n", @@ -227,7 +227,7 @@ }, { "cell_type": "markdown", - "id": "66835a1e", + "id": "e1258840", "metadata": {}, "source": [ "### Numerical Programming\n", @@ -244,7 +244,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4fa666cc", + "id": "c08ee6f1", "metadata": { "hide-output": false }, @@ -259,7 +259,7 @@ }, { "cell_type": "markdown", - "id": "e1c40f25", + "id": "1162b19b", "metadata": {}, "source": [ "Now let’s take the inner product" @@ -268,7 +268,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f5f96496", + "id": "aba64124", "metadata": { "hide-output": false }, @@ -279,7 +279,7 @@ }, { "cell_type": "markdown", - "id": "7725ce75", + "id": "b3199495", "metadata": {}, "source": [ "The number you see here might vary slightly but it’s essentially zero.\n", @@ -296,7 +296,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0d6c8945", + "id": "23b041d6", "metadata": { "hide-output": false }, @@ -312,7 +312,7 @@ }, { "cell_type": "markdown", - "id": "47765a29", + "id": "2b8d549c", "metadata": {}, "source": [ "SciPy includes many of the standard routines used in\n", @@ -330,7 +330,7 @@ }, { "cell_type": "markdown", - "id": "afdb742e", + "id": "6bbfa4cd", "metadata": {}, "source": [ "### Graphics\n", @@ -374,7 +374,7 @@ }, { "cell_type": "markdown", - "id": "e0719c94", + "id": "2846586e", "metadata": {}, "source": [ "### Symbolic Algebra\n", @@ -389,7 +389,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1e422751", + "id": "660ea0fa", "metadata": { "hide-output": false }, @@ -403,7 +403,7 @@ }, { "cell_type": "markdown", - "id": "1be832bc", + "id": "da068dff", "metadata": {}, "source": [ "We can manipulate expressions" @@ -412,7 +412,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2e8b32e9", + "id": "af419f56", "metadata": { "hide-output": false }, @@ -424,7 +424,7 @@ }, { "cell_type": "markdown", - "id": "bc31b6ca", + "id": "46bac132", "metadata": {}, "source": [ "solve polynomials" @@ -433,7 +433,7 @@ { "cell_type": "code", "execution_count": null, - "id": "30f61027", + "id": "74dff488", "metadata": { "hide-output": false }, @@ -446,7 +446,7 @@ }, { "cell_type": "markdown", - "id": "ae3ca03f", + "id": "c5608434", "metadata": {}, "source": [ "and calculate limits, derivatives and integrals" @@ -455,7 +455,7 @@ { "cell_type": "code", "execution_count": null, - "id": "aca36ad4", + "id": "ceb822cc", "metadata": { "hide-output": false }, @@ -469,7 +469,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fbcd25a8", + "id": "948a630b", "metadata": { "hide-output": false }, @@ -481,7 +481,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d4fb6d93", + "id": "19b318d2", "metadata": { "hide-output": false }, @@ -493,7 +493,7 @@ { "cell_type": "code", "execution_count": null, - "id": "319d7eb3", + "id": "4c51dddb", "metadata": { "hide-output": false }, @@ -504,7 +504,7 @@ }, { "cell_type": "markdown", - "id": "a4e304d2", + "id": "13434054", "metadata": {}, "source": [ "The beauty of importing this functionality into Python is that we are working within a fully fledged programming language.\n", @@ -514,7 +514,7 @@ }, { "cell_type": "markdown", - "id": "d39b5302", + "id": "52dca172", "metadata": {}, "source": [ "### Statistics\n", @@ -526,7 +526,7 @@ }, { "cell_type": "markdown", - "id": "bb9e7e94", + "id": "1e593d47", "metadata": {}, "source": [ "#### Pandas\n", @@ -544,7 +544,7 @@ { "cell_type": "code", "execution_count": null, - "id": "28c0c64f", + "id": "15d66f4e", "metadata": { "hide-output": false }, @@ -563,7 +563,7 @@ { "cell_type": "code", "execution_count": null, - "id": "67b71362", + "id": "791c0db3", "metadata": { "hide-output": false }, @@ -574,7 +574,7 @@ }, { "cell_type": "markdown", - "id": "5059ca6b", + "id": "e296111a", "metadata": {}, "source": [ "#### Other Useful Statistics and Data Science Libraries\n", @@ -611,7 +611,7 @@ }, { "cell_type": "markdown", - "id": "8dba1967", + "id": "6ffa2fc5", "metadata": {}, "source": [ "### Networks and Graphs\n", @@ -633,7 +633,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6c0a0297", + "id": "cdb48201", "metadata": { "hide-output": false }, @@ -670,7 +670,7 @@ }, { "cell_type": "markdown", - "id": "b82b738c", + "id": "aeb7d7f1", "metadata": {}, "source": [ "### Cloud Computing\n", @@ -707,7 +707,7 @@ }, { "cell_type": "markdown", - "id": "036c46f6", + "id": "71df1972", "metadata": {}, "source": [ "### Parallel Processing\n", @@ -739,7 +739,7 @@ }, { "cell_type": "markdown", - "id": "eb7f074e", + "id": "55d6bb15", "metadata": {}, "source": [ "### Other Developments\n", @@ -790,7 +790,7 @@ }, { "cell_type": "markdown", - "id": "dfd65b97", + "id": "57d2082c", "metadata": {}, "source": [ "## Learn More\n", @@ -809,7 +809,7 @@ } ], "metadata": { - "date": 1702956202.000877, + "date": 1703113307.2162573, "filename": "about_py.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/debugging.ipynb b/_notebooks/debugging.ipynb index c30a73c5..84837d85 100644 --- a/_notebooks/debugging.ipynb +++ b/_notebooks/debugging.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "3ff6034e", + "id": "e6b6ba41", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "491f8fa2", + "id": "77671b99", "metadata": {}, "source": [ "# Debugging and Handling Errors\n", @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "7a9ff61c", + "id": "35cc7089", "metadata": {}, "source": [ "## Contents\n", @@ -41,7 +41,7 @@ }, { "cell_type": "markdown", - "id": "0f6d804f", + "id": "817f0c65", "metadata": {}, "source": [ "> “Debugging is twice as hard as writing the code in the first place.\n", @@ -51,7 +51,7 @@ }, { "cell_type": "markdown", - "id": "be41ab6d", + "id": "db5515f0", "metadata": {}, "source": [ "## Overview\n", @@ -71,7 +71,7 @@ }, { "cell_type": "markdown", - "id": "5a5a088c", + "id": "675b164e", "metadata": {}, "source": [ "## Debugging\n", @@ -90,7 +90,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7e8d0a86", + "id": "84bebaaa", "metadata": { "hide-output": false }, @@ -104,7 +104,7 @@ }, { "cell_type": "markdown", - "id": "b332dfcb", + "id": "f50be6f6", "metadata": {}, "source": [ "\n", @@ -113,7 +113,7 @@ }, { "cell_type": "markdown", - "id": "179c996e", + "id": "8b3bdb8d", "metadata": {}, "source": [ "### The `debug` Magic\n", @@ -124,7 +124,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a7a693ca", + "id": "d20fa4b1", "metadata": { "hide-output": false }, @@ -141,7 +141,7 @@ }, { "cell_type": "markdown", - "id": "e7a77636", + "id": "e61671b5", "metadata": {}, "source": [ "This code is intended to plot the `log` function over the interval $ [1, 2] $.\n", @@ -162,7 +162,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d06e8cde", + "id": "62a00081", "metadata": { "hide-output": false }, @@ -173,7 +173,7 @@ }, { "cell_type": "markdown", - "id": "30063780", + "id": "ad64d5c5", "metadata": {}, "source": [ "The problem is that `ax` was defined inside `plot_log()`, and the name is\n", @@ -187,7 +187,7 @@ { "cell_type": "code", "execution_count": null, - "id": "38808953", + "id": "cc8f25aa", "metadata": { "hide-output": false }, @@ -204,7 +204,7 @@ }, { "cell_type": "markdown", - "id": "a09096b1", + "id": "64fbc56a", "metadata": {}, "source": [ "But this time we type in the following cell block" @@ -212,7 +212,7 @@ }, { "cell_type": "markdown", - "id": "a3d0dd14", + "id": "8972d140", "metadata": { "hide-output": false }, @@ -224,7 +224,7 @@ }, { "cell_type": "markdown", - "id": "2be28ee2", + "id": "0b93a7e9", "metadata": {}, "source": [ "You should be dropped into a new prompt that looks something like this" @@ -232,7 +232,7 @@ }, { "cell_type": "markdown", - "id": "abfcddc0", + "id": "0baf7a82", "metadata": { "hide-output": false }, @@ -244,7 +244,7 @@ }, { "cell_type": "markdown", - "id": "2d9c3132", + "id": "e7bb9623", "metadata": {}, "source": [ "(You might see pdb> instead)\n", @@ -257,7 +257,7 @@ }, { "cell_type": "markdown", - "id": "1b332106", + "id": "7fc7234c", "metadata": { "hide-output": false }, @@ -271,7 +271,7 @@ }, { "cell_type": "markdown", - "id": "db76ecec", + "id": "beb50b4f", "metadata": {}, "source": [ "It’s now very clear that `ax` is an array, which clarifies the source of the\n", @@ -283,7 +283,7 @@ }, { "cell_type": "markdown", - "id": "f4e0a488", + "id": "6d5bbb2a", "metadata": { "hide-output": false }, @@ -316,7 +316,7 @@ }, { "cell_type": "markdown", - "id": "7af84af3", + "id": "0b922fe0", "metadata": {}, "source": [ "### Setting a Break Point\n", @@ -329,7 +329,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a994c5ee", + "id": "c853d1f9", "metadata": { "hide-output": false }, @@ -346,7 +346,7 @@ }, { "cell_type": "markdown", - "id": "36b613db", + "id": "72478958", "metadata": {}, "source": [ "Here the original problem is fixed, but we’ve accidentally written\n", @@ -361,7 +361,7 @@ }, { "cell_type": "markdown", - "id": "72c34e44", + "id": "1c3b2f73", "metadata": { "hide-output": false }, @@ -380,7 +380,7 @@ }, { "cell_type": "markdown", - "id": "87821999", + "id": "e047dc1b", "metadata": {}, "source": [ "Now let’s run the script, and investigate via the debugger" @@ -388,7 +388,7 @@ }, { "cell_type": "markdown", - "id": "e071687e", + "id": "7e80b0cc", "metadata": { "hide-output": false }, @@ -411,7 +411,7 @@ }, { "cell_type": "markdown", - "id": "639838b9", + "id": "e6797845", "metadata": {}, "source": [ "We used `n` twice to step forward through the code (one line at a time).\n", @@ -423,7 +423,7 @@ }, { "cell_type": "markdown", - "id": "88099853", + "id": "aeeb32f8", "metadata": {}, "source": [ "### Other Useful Magics\n", @@ -442,7 +442,7 @@ }, { "cell_type": "markdown", - "id": "a08b6705", + "id": "7cd7fa3b", "metadata": {}, "source": [ "## Handling Errors\n", @@ -480,7 +480,7 @@ }, { "cell_type": "markdown", - "id": "a7fd48d2", + "id": "c45a7e54", "metadata": {}, "source": [ "### Errors in Python\n", @@ -497,7 +497,7 @@ { "cell_type": "code", "execution_count": null, - "id": "602ecc27", + "id": "1f3a325d", "metadata": { "hide-output": false }, @@ -508,7 +508,7 @@ }, { "cell_type": "markdown", - "id": "21fcb343", + "id": "49c726fa", "metadata": {}, "source": [ "Since illegal syntax cannot be executed, a syntax error terminates execution of the program.\n", @@ -519,7 +519,7 @@ { "cell_type": "code", "execution_count": null, - "id": "94212b32", + "id": "7687343c", "metadata": { "hide-output": false }, @@ -530,7 +530,7 @@ }, { "cell_type": "markdown", - "id": "5ccbfa37", + "id": "d03b42ff", "metadata": {}, "source": [ "Here’s another" @@ -539,7 +539,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6af2c759", + "id": "4d2f2621", "metadata": { "hide-output": false }, @@ -550,7 +550,7 @@ }, { "cell_type": "markdown", - "id": "3ed6628d", + "id": "2ed051e5", "metadata": {}, "source": [ "And another" @@ -559,7 +559,7 @@ { "cell_type": "code", "execution_count": null, - "id": "099c97b7", + "id": "1142e857", "metadata": { "hide-output": false }, @@ -570,7 +570,7 @@ }, { "cell_type": "markdown", - "id": "737d757f", + "id": "c2dce5b0", "metadata": {}, "source": [ "And another" @@ -579,7 +579,7 @@ { "cell_type": "code", "execution_count": null, - "id": "564aa4e5", + "id": "db03ff88", "metadata": { "hide-output": false }, @@ -591,7 +591,7 @@ }, { "cell_type": "markdown", - "id": "72a5d2bf", + "id": "e0667d13", "metadata": {}, "source": [ "On each occasion, the interpreter informs us of the error type\n", @@ -604,7 +604,7 @@ }, { "cell_type": "markdown", - "id": "b668af11", + "id": "8fbc601b", "metadata": {}, "source": [ "### Assertions\n", @@ -622,7 +622,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0c86f68e", + "id": "75b8c7b7", "metadata": { "hide-output": false }, @@ -636,7 +636,7 @@ }, { "cell_type": "markdown", - "id": "3b4122ac", + "id": "feec0189", "metadata": {}, "source": [ "If we run this with an array of length one, the program will terminate and\n", @@ -646,7 +646,7 @@ { "cell_type": "code", "execution_count": null, - "id": "28e50f6e", + "id": "b74afef1", "metadata": { "hide-output": false }, @@ -657,7 +657,7 @@ }, { "cell_type": "markdown", - "id": "00da3e50", + "id": "bb4d8dce", "metadata": {}, "source": [ "The advantage is that we can\n", @@ -668,7 +668,7 @@ }, { "cell_type": "markdown", - "id": "f21106af", + "id": "d4be1746", "metadata": {}, "source": [ "### Handling Errors During Runtime\n", @@ -685,7 +685,7 @@ }, { "cell_type": "markdown", - "id": "e7ea65c0", + "id": "84cd3f3b", "metadata": {}, "source": [ "#### Catching Exceptions\n", @@ -698,7 +698,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8708a6fc", + "id": "4670338c", "metadata": { "hide-output": false }, @@ -714,7 +714,7 @@ }, { "cell_type": "markdown", - "id": "50c89605", + "id": "accd9aa8", "metadata": {}, "source": [ "When we call `f` we get the following output" @@ -723,7 +723,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e90cafd2", + "id": "289da4c4", "metadata": { "hide-output": false }, @@ -735,7 +735,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8ca3beb2", + "id": "7ea98789", "metadata": { "hide-output": false }, @@ -747,7 +747,7 @@ { "cell_type": "code", "execution_count": null, - "id": "271bf227", + "id": "5f48941d", "metadata": { "hide-output": false }, @@ -758,7 +758,7 @@ }, { "cell_type": "markdown", - "id": "b32b5451", + "id": "56cdccc6", "metadata": {}, "source": [ "The error is caught and execution of the program is not terminated.\n", @@ -771,7 +771,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3bf12854", + "id": "88c96c07", "metadata": { "hide-output": false }, @@ -789,7 +789,7 @@ }, { "cell_type": "markdown", - "id": "468d9bb8", + "id": "d0c47405", "metadata": {}, "source": [ "Here’s what happens" @@ -798,7 +798,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1918f784", + "id": "be21467f", "metadata": { "hide-output": false }, @@ -810,7 +810,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8251ee1a", + "id": "3e3b8123", "metadata": { "hide-output": false }, @@ -822,7 +822,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e0d0a223", + "id": "e6d61e52", "metadata": { "hide-output": false }, @@ -833,7 +833,7 @@ }, { "cell_type": "markdown", - "id": "a81d533a", + "id": "202d2d65", "metadata": {}, "source": [ "If we feel lazy we can catch these errors together" @@ -842,7 +842,7 @@ { "cell_type": "code", "execution_count": null, - "id": "042d3b4b", + "id": "aed9990c", "metadata": { "hide-output": false }, @@ -858,7 +858,7 @@ }, { "cell_type": "markdown", - "id": "4729b2b1", + "id": "e0a018c6", "metadata": {}, "source": [ "Here’s what happens" @@ -867,7 +867,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d90e846e", + "id": "16f1c58f", "metadata": { "hide-output": false }, @@ -879,7 +879,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bd2d9159", + "id": "07b6d26e", "metadata": { "hide-output": false }, @@ -891,7 +891,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1f08d2c3", + "id": "7a61679e", "metadata": { "hide-output": false }, @@ -902,7 +902,7 @@ }, { "cell_type": "markdown", - "id": "0723623e", + "id": "a33985a0", "metadata": {}, "source": [ "In general it’s better to be specific." @@ -910,7 +910,7 @@ }, { "cell_type": "markdown", - "id": "11e0c948", + "id": "3cc62353", "metadata": {}, "source": [ "## Exercises" @@ -918,7 +918,7 @@ }, { "cell_type": "markdown", - "id": "f9939a4f", + "id": "63341992", "metadata": {}, "source": [ "## Exercise 20.1\n", @@ -928,7 +928,7 @@ }, { "cell_type": "markdown", - "id": "4eeadb9e", + "id": "e37295f5", "metadata": { "hide-output": false }, @@ -945,7 +945,7 @@ }, { "cell_type": "markdown", - "id": "66448bba", + "id": "ed60c844", "metadata": {}, "source": [ "Using `try` – `except`, write a program to read in the contents of the file and sum the numbers, ignoring lines without numbers.\n", @@ -955,7 +955,7 @@ }, { "cell_type": "markdown", - "id": "4fadbece", + "id": "342964bc", "metadata": {}, "source": [ "## Solution to[ Exercise 20.1](https://python-programming.quantecon.org/#debug_ex1)\n", @@ -966,7 +966,7 @@ { "cell_type": "code", "execution_count": null, - "id": "94ca9d73", + "id": "f94fa6ae", "metadata": { "hide-output": false }, @@ -984,7 +984,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2a7cd9be", + "id": "95296b6a", "metadata": { "hide-output": false }, @@ -1006,7 +1006,7 @@ } ], "metadata": { - "date": 1702956202.030374, + "date": 1703113307.2454941, "filename": "debugging.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/functions.ipynb b/_notebooks/functions.ipynb index 7545b2e9..91c18a21 100644 --- a/_notebooks/functions.ipynb +++ b/_notebooks/functions.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "23efde62", + "id": "2c26dbb6", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "a83955ba", + "id": "4d0ad1fb", "metadata": {}, "source": [ "# Functions\n", @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "df6fea91", + "id": "0eddfe0e", "metadata": {}, "source": [ "## Contents\n", @@ -44,7 +44,7 @@ }, { "cell_type": "markdown", - "id": "8ec46c42", + "id": "2fcd4328", "metadata": {}, "source": [ "## Overview\n", @@ -69,7 +69,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ba5017ca", + "id": "9e3cabc5", "metadata": { "hide-output": false }, @@ -83,7 +83,7 @@ }, { "cell_type": "markdown", - "id": "2aac063f", + "id": "321f6b6b", "metadata": {}, "source": [ "## Function Basics\n", @@ -97,7 +97,7 @@ }, { "cell_type": "markdown", - "id": "79153067", + "id": "43e089a2", "metadata": {}, "source": [ "### Built-In Functions\n", @@ -110,7 +110,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0e799996", + "id": "7e64bb06", "metadata": { "hide-output": false }, @@ -122,7 +122,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4e6734de", + "id": "3e69b470", "metadata": { "hide-output": false }, @@ -134,7 +134,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f9b9a410", + "id": "91ba788c", "metadata": { "hide-output": false }, @@ -146,7 +146,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d8735038", + "id": "6beac661", "metadata": { "hide-output": false }, @@ -157,7 +157,7 @@ }, { "cell_type": "markdown", - "id": "08bb8f95", + "id": "7f62a219", "metadata": {}, "source": [ "Two more useful built-in functions are `any()` and `all()`" @@ -166,7 +166,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a1ff1b90", + "id": "7dddaab8", "metadata": { "hide-output": false }, @@ -179,7 +179,7 @@ { "cell_type": "code", "execution_count": null, - "id": "efec16f3", + "id": "e352e6fe", "metadata": { "hide-output": false }, @@ -190,7 +190,7 @@ }, { "cell_type": "markdown", - "id": "f060da0c", + "id": "13f6aa68", "metadata": {}, "source": [ "The full list of Python built-ins is [here](https://docs.python.org/library/functions.html)." @@ -198,7 +198,7 @@ }, { "cell_type": "markdown", - "id": "5b832eeb", + "id": "4332c8ba", "metadata": {}, "source": [ "### Third Party Functions\n", @@ -215,7 +215,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7d20de27", + "id": "53438b3c", "metadata": { "hide-output": false }, @@ -228,7 +228,7 @@ }, { "cell_type": "markdown", - "id": "a7baf3b6", + "id": "2f42bb99", "metadata": {}, "source": [ "## Defining Functions\n", @@ -242,7 +242,7 @@ }, { "cell_type": "markdown", - "id": "ba620644", + "id": "b8678a24", "metadata": {}, "source": [ "### Basic Syntax\n", @@ -254,7 +254,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b9113ac8", + "id": "9d31095a", "metadata": { "hide-output": false }, @@ -266,7 +266,7 @@ }, { "cell_type": "markdown", - "id": "cf09a799", + "id": "7c195cfa", "metadata": {}, "source": [ "Now that we’ve *defined* this function, let’s *call* it and check whether it\n", @@ -276,7 +276,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7c932a2b", + "id": "7d53f02d", "metadata": { "hide-output": false }, @@ -288,7 +288,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0361db50", + "id": "9ea26041", "metadata": { "hide-output": false }, @@ -299,7 +299,7 @@ }, { "cell_type": "markdown", - "id": "e357b836", + "id": "c70b805e", "metadata": {}, "source": [ "Here’s a longer function, that computes the absolute value of a given number.\n", @@ -311,7 +311,7 @@ { "cell_type": "code", "execution_count": null, - "id": "39f6f37a", + "id": "5331dd10", "metadata": { "hide-output": false }, @@ -329,7 +329,7 @@ }, { "cell_type": "markdown", - "id": "a9c41e67", + "id": "fd30b1a7", "metadata": {}, "source": [ "Let’s review the syntax here.\n", @@ -348,7 +348,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5e56e39e", + "id": "e8f4e7f6", "metadata": { "hide-output": false }, @@ -360,7 +360,7 @@ }, { "cell_type": "markdown", - "id": "f5aea5fa", + "id": "f910b6a7", "metadata": {}, "source": [ "Note that a function can have arbitrarily many `return` statements (including zero).\n", @@ -372,7 +372,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a9ab6044", + "id": "eb262f23", "metadata": { "hide-output": false }, @@ -386,7 +386,7 @@ }, { "cell_type": "markdown", - "id": "2ce40bd1", + "id": "d3f5f402", "metadata": {}, "source": [ "Functions without a return statement automatically return the special Python object `None`.\n", @@ -397,7 +397,7 @@ }, { "cell_type": "markdown", - "id": "9ad84a4b", + "id": "0b54f61f", "metadata": {}, "source": [ "### Keyword Arguments\n", @@ -409,7 +409,7 @@ }, { "cell_type": "markdown", - "id": "25f4dd35", + "id": "7513eeea", "metadata": { "hide-output": false }, @@ -421,7 +421,7 @@ }, { "cell_type": "markdown", - "id": "cf4640dd", + "id": "d6f7fb4a", "metadata": {}, "source": [ "In this call to Matplotlib’s `plot` function, notice that the last argument is passed in `name=argument` syntax.\n", @@ -444,7 +444,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0126e8a1", + "id": "604f9cd5", "metadata": { "hide-output": false }, @@ -456,7 +456,7 @@ }, { "cell_type": "markdown", - "id": "84883501", + "id": "cc87942a", "metadata": {}, "source": [ "The keyword argument values we supplied in the definition of `f` become the default values" @@ -465,7 +465,7 @@ { "cell_type": "code", "execution_count": null, - "id": "16e6f945", + "id": "a4e9d353", "metadata": { "hide-output": false }, @@ -476,7 +476,7 @@ }, { "cell_type": "markdown", - "id": "bcf8be6e", + "id": "28ed6ad0", "metadata": {}, "source": [ "They can be modified as follows" @@ -485,7 +485,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3c7c627a", + "id": "bc05a39b", "metadata": { "hide-output": false }, @@ -496,7 +496,7 @@ }, { "cell_type": "markdown", - "id": "1498a5dd", + "id": "21a0c320", "metadata": {}, "source": [ "### The Flexibility of Python Functions\n", @@ -517,7 +517,7 @@ }, { "cell_type": "markdown", - "id": "c482787a", + "id": "995e6a89", "metadata": {}, "source": [ "### One-Line Functions: `lambda`\n", @@ -532,7 +532,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c1883824", + "id": "ecf3f23a", "metadata": { "hide-output": false }, @@ -544,7 +544,7 @@ }, { "cell_type": "markdown", - "id": "9ad7f4c8", + "id": "b1621730", "metadata": {}, "source": [ "and" @@ -553,7 +553,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d367f60a", + "id": "6ef1cb5d", "metadata": { "hide-output": false }, @@ -564,7 +564,7 @@ }, { "cell_type": "markdown", - "id": "5e4670ad", + "id": "f602e868", "metadata": {}, "source": [ "are entirely equivalent.\n", @@ -581,7 +581,7 @@ { "cell_type": "code", "execution_count": null, - "id": "49dbc9bb", + "id": "88ab9660", "metadata": { "hide-output": false }, @@ -594,7 +594,7 @@ }, { "cell_type": "markdown", - "id": "6a772c48", + "id": "bac1011d", "metadata": {}, "source": [ "Here the function created by `lambda` is said to be *anonymous* because it was never given a name." @@ -602,7 +602,7 @@ }, { "cell_type": "markdown", - "id": "c0c27038", + "id": "22356526", "metadata": {}, "source": [ "### Why Write Functions?\n", @@ -620,7 +620,7 @@ }, { "cell_type": "markdown", - "id": "1748584c", + "id": "3d7c7129", "metadata": {}, "source": [ "## Applications" @@ -628,7 +628,7 @@ }, { "cell_type": "markdown", - "id": "8e5b533f", + "id": "41e276d1", "metadata": {}, "source": [ "### Random Draws\n", @@ -639,7 +639,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d7f66f3e", + "id": "d89de0c7", "metadata": { "hide-output": false }, @@ -658,7 +658,7 @@ }, { "cell_type": "markdown", - "id": "50019177", + "id": "db43b80f", "metadata": {}, "source": [ "We will break this program into two parts:\n", @@ -678,7 +678,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fa5c8c0c", + "id": "ecac005c", "metadata": { "hide-output": false }, @@ -698,7 +698,7 @@ }, { "cell_type": "markdown", - "id": "72b340e5", + "id": "752a40f6", "metadata": {}, "source": [ "When the interpreter gets to the expression `generate_data(100)`, it executes the function body with `n` set equal to 100.\n", @@ -708,7 +708,7 @@ }, { "cell_type": "markdown", - "id": "d5e2ed01", + "id": "021940bc", "metadata": {}, "source": [ "### Adding Conditions\n", @@ -728,7 +728,7 @@ { "cell_type": "code", "execution_count": null, - "id": "79b2f0ea", + "id": "d6cbcebc", "metadata": { "hide-output": false }, @@ -751,7 +751,7 @@ }, { "cell_type": "markdown", - "id": "9ea432b2", + "id": "06585be7", "metadata": {}, "source": [ "Hopefully, the syntax of the if/else clause is self-explanatory, with indentation again delimiting the extent of the code blocks.\n", @@ -777,7 +777,7 @@ { "cell_type": "code", "execution_count": null, - "id": "33a1da73", + "id": "c84a6f65", "metadata": { "hide-output": false }, @@ -797,7 +797,7 @@ }, { "cell_type": "markdown", - "id": "b908462f", + "id": "5b008147", "metadata": {}, "source": [ "Now, when we call the function `generate_data()`, we pass `np.random.uniform`\n", @@ -816,7 +816,7 @@ { "cell_type": "code", "execution_count": null, - "id": "da79efa4", + "id": "55125a0e", "metadata": { "hide-output": false }, @@ -828,7 +828,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ee6a6834", + "id": "990f8a22", "metadata": { "hide-output": false }, @@ -840,7 +840,7 @@ }, { "cell_type": "markdown", - "id": "1cd0968f", + "id": "35aecce6", "metadata": {}, "source": [ "Here we created another name for the built-in function `max()`, which could\n", @@ -856,7 +856,7 @@ }, { "cell_type": "markdown", - "id": "f6be8df5", + "id": "2a54b4b7", "metadata": {}, "source": [ "## Recursive Function Calls (Advanced)\n", @@ -883,7 +883,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2f0b0b63", + "id": "9893aba2", "metadata": { "hide-output": false }, @@ -898,7 +898,7 @@ }, { "cell_type": "markdown", - "id": "410146a9", + "id": "34d4984f", "metadata": {}, "source": [ "We can also use a recursive solution, as follows" @@ -907,7 +907,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1324342a", + "id": "5478c20e", "metadata": { "hide-output": false }, @@ -922,7 +922,7 @@ }, { "cell_type": "markdown", - "id": "2d7b9a69", + "id": "55fa4eb0", "metadata": {}, "source": [ "What happens here is that each successive call uses it’s own *frame* in the *stack*\n", @@ -942,7 +942,7 @@ }, { "cell_type": "markdown", - "id": "cf4d7079", + "id": "2f18148f", "metadata": {}, "source": [ "## Exercises" @@ -950,7 +950,7 @@ }, { "cell_type": "markdown", - "id": "f2933dba", + "id": "42a1eeed", "metadata": {}, "source": [ "## Exercise 4.1\n", @@ -982,7 +982,7 @@ }, { "cell_type": "markdown", - "id": "a67d49ef", + "id": "3e3d4bdc", "metadata": {}, "source": [ "## Solution to[ Exercise 4.1](https://python-programming.quantecon.org/#func_ex1)\n", @@ -993,7 +993,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2973bbf0", + "id": "cd64142a", "metadata": { "hide-output": false }, @@ -1010,7 +1010,7 @@ }, { "cell_type": "markdown", - "id": "64b5c52b", + "id": "298bd7b0", "metadata": {}, "source": [ "Adding the lambda expression" @@ -1019,7 +1019,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8c33639d", + "id": "e8d3e376", "metadata": { "hide-output": false }, @@ -1038,7 +1038,7 @@ { "cell_type": "code", "execution_count": null, - "id": "04c97db1", + "id": "ee5446b7", "metadata": { "hide-output": false }, @@ -1052,7 +1052,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a3b2f46b", + "id": "5b0123b3", "metadata": { "hide-output": false }, @@ -1063,7 +1063,7 @@ }, { "cell_type": "markdown", - "id": "933208c8", + "id": "4b6c37b7", "metadata": {}, "source": [ "## Exercise 4.2\n", @@ -1078,7 +1078,7 @@ }, { "cell_type": "markdown", - "id": "c01e3628", + "id": "1a5369ae", "metadata": {}, "source": [ "## Solution to[ Exercise 4.2](https://python-programming.quantecon.org/#func_ex2)\n", @@ -1089,7 +1089,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8864db36", + "id": "b15cebab", "metadata": { "hide-output": false }, @@ -1110,7 +1110,7 @@ }, { "cell_type": "markdown", - "id": "059849bc", + "id": "67058955", "metadata": {}, "source": [ "## Exercise 4.3\n", @@ -1132,7 +1132,7 @@ }, { "cell_type": "markdown", - "id": "3bc7ae61", + "id": "9342dc29", "metadata": {}, "source": [ "## Solution to[ Exercise 4.3](https://python-programming.quantecon.org/#func_ex3)\n", @@ -1143,7 +1143,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d4c77c25", + "id": "83616cce", "metadata": { "hide-output": false }, @@ -1170,7 +1170,7 @@ }, { "cell_type": "markdown", - "id": "d7d52d8b", + "id": "237bfb2b", "metadata": {}, "source": [ "Here’s another function for the second random device." @@ -1179,7 +1179,7 @@ { "cell_type": "code", "execution_count": null, - "id": "56a148b7", + "id": "e13f6ac0", "metadata": { "hide-output": false }, @@ -1204,7 +1204,7 @@ }, { "cell_type": "markdown", - "id": "b25d5fd3", + "id": "bbc9303e", "metadata": {}, "source": [ "## Advanced Exercises\n", @@ -1218,7 +1218,7 @@ }, { "cell_type": "markdown", - "id": "795435f1", + "id": "f3a8284f", "metadata": {}, "source": [ "## Exercise 4.4\n", @@ -1238,7 +1238,7 @@ }, { "cell_type": "markdown", - "id": "88859b20", + "id": "d475d390", "metadata": {}, "source": [ "## Solution to[ Exercise 4.4](https://python-programming.quantecon.org/#func_ex4)\n", @@ -1249,7 +1249,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bd1589b8", + "id": "b010871f", "metadata": { "hide-output": false }, @@ -1266,7 +1266,7 @@ }, { "cell_type": "markdown", - "id": "944f3c6d", + "id": "aa91cee2", "metadata": {}, "source": [ "Let’s test it" @@ -1275,7 +1275,7 @@ { "cell_type": "code", "execution_count": null, - "id": "46abf6a7", + "id": "f88e5279", "metadata": { "hide-output": false }, @@ -1286,7 +1286,7 @@ }, { "cell_type": "markdown", - "id": "52ce0567", + "id": "bffb5291", "metadata": {}, "source": [ "## Exercise 4.5\n", @@ -1296,7 +1296,7 @@ }, { "cell_type": "markdown", - "id": "901e7256", + "id": "c7d1086c", "metadata": {}, "source": [ "## Solution to[ Exercise 4.5](https://python-programming.quantecon.org/#func_ex5)\n", @@ -1307,7 +1307,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7b3f7d0c", + "id": "7b2589be", "metadata": { "hide-output": false }, @@ -1322,7 +1322,7 @@ }, { "cell_type": "markdown", - "id": "f265ccfe", + "id": "ec742350", "metadata": {}, "source": [ "Here’s a simplified solution" @@ -1331,7 +1331,7 @@ { "cell_type": "code", "execution_count": null, - "id": "de8df63c", + "id": "06334717", "metadata": { "hide-output": false }, @@ -1343,7 +1343,7 @@ }, { "cell_type": "markdown", - "id": "d0c1f054", + "id": "0448d9d6", "metadata": {}, "source": [ "Let’s test them" @@ -1352,7 +1352,7 @@ { "cell_type": "code", "execution_count": null, - "id": "562dbdb3", + "id": "490b612c", "metadata": { "hide-output": false }, @@ -1364,7 +1364,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4a179ca9", + "id": "b46468d7", "metadata": { "hide-output": false }, @@ -1375,7 +1375,7 @@ } ], "metadata": { - "date": 1702956202.0750253, + "date": 1703113307.2909584, "filename": "functions.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/getting_started.ipynb b/_notebooks/getting_started.ipynb index 58b96e1e..4508462c 100644 --- a/_notebooks/getting_started.ipynb +++ b/_notebooks/getting_started.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "408d89b3", + "id": "3eb9c099", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "627f10ff", + "id": "26b74a2d", "metadata": {}, "source": [ "# Getting Started\n", @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "60343b77", + "id": "6423e068", "metadata": {}, "source": [ "## Contents\n", @@ -44,7 +44,7 @@ }, { "cell_type": "markdown", - "id": "aaf7d373", + "id": "d664988e", "metadata": {}, "source": [ "## Overview\n", @@ -60,7 +60,7 @@ }, { "cell_type": "markdown", - "id": "3cdf2efc", + "id": "e3d8e2a4", "metadata": {}, "source": [ "## Python in the Cloud\n", @@ -96,7 +96,7 @@ }, { "cell_type": "markdown", - "id": "4eb254bf", + "id": "f51194d8", "metadata": {}, "source": [ "## Local Install\n", @@ -111,7 +111,7 @@ }, { "cell_type": "markdown", - "id": "f4ca684b", + "id": "06d9742d", "metadata": {}, "source": [ "### The Anaconda Distribution\n", @@ -150,7 +150,7 @@ }, { "cell_type": "markdown", - "id": "3ea8bd25", + "id": "8311fcef", "metadata": {}, "source": [ "### Installing Anaconda\n", @@ -168,7 +168,7 @@ }, { "cell_type": "markdown", - "id": "fa3cf51b", + "id": "ea30a290", "metadata": {}, "source": [ "### Updating Anaconda\n", @@ -191,7 +191,7 @@ }, { "cell_type": "markdown", - "id": "78809cf5", + "id": "97211cda", "metadata": {}, "source": [ "## Jupyter Notebooks\n", @@ -227,7 +227,7 @@ }, { "cell_type": "markdown", - "id": "4ccfaf5a", + "id": "5be7832d", "metadata": {}, "source": [ "### Starting the Jupyter Notebook\n", @@ -277,7 +277,7 @@ }, { "cell_type": "markdown", - "id": "266632fc", + "id": "00402ac5", "metadata": {}, "source": [ "### Notebook Basics\n", @@ -289,7 +289,7 @@ }, { "cell_type": "markdown", - "id": "fe7cdb45", + "id": "9c49d608", "metadata": {}, "source": [ "#### Running Cells\n", @@ -312,7 +312,7 @@ }, { "cell_type": "markdown", - "id": "19d0baf9", + "id": "d91a6e08", "metadata": {}, "source": [ "#### Modal Editing\n", @@ -342,7 +342,7 @@ }, { "cell_type": "markdown", - "id": "84a452c6", + "id": "0b82aaab", "metadata": {}, "source": [ "#### Inserting Unicode (e.g., Greek Letters)\n", @@ -357,7 +357,7 @@ }, { "cell_type": "markdown", - "id": "4aa98d85", + "id": "1273b881", "metadata": {}, "source": [ "#### A Test Program\n", @@ -372,7 +372,7 @@ { "cell_type": "code", "execution_count": null, - "id": "428b2b89", + "id": "909e94c2", "metadata": { "hide-output": false }, @@ -401,7 +401,7 @@ }, { "cell_type": "markdown", - "id": "4c0c0e09", + "id": "7d5600e5", "metadata": {}, "source": [ "Don’t worry about the details for now — let’s just run it and see what happens.\n", @@ -413,7 +413,7 @@ }, { "cell_type": "markdown", - "id": "19d12860", + "id": "79732fcc", "metadata": {}, "source": [ "### Working with the Notebook\n", @@ -423,7 +423,7 @@ }, { "cell_type": "markdown", - "id": "1aa02fe9", + "id": "751d0f1c", "metadata": {}, "source": [ "#### Tab Completion\n", @@ -455,7 +455,7 @@ }, { "cell_type": "markdown", - "id": "f99093c6", + "id": "e56fb8e6", "metadata": {}, "source": [ "#### On-Line Help\n", @@ -476,7 +476,7 @@ }, { "cell_type": "markdown", - "id": "e9e524fb", + "id": "2b41729e", "metadata": {}, "source": [ "#### Other Content\n", @@ -500,7 +500,7 @@ }, { "cell_type": "markdown", - "id": "3c3b48e2", + "id": "676a5d99", "metadata": {}, "source": [ "### Debugging Code\n", @@ -536,7 +536,7 @@ }, { "cell_type": "markdown", - "id": "3e0da009", + "id": "e28c3cf9", "metadata": {}, "source": [ "### Sharing Notebooks\n", @@ -568,7 +568,7 @@ }, { "cell_type": "markdown", - "id": "bf56583e", + "id": "5cb589a4", "metadata": {}, "source": [ "### QuantEcon Notes\n", @@ -582,7 +582,7 @@ }, { "cell_type": "markdown", - "id": "9e8294ce", + "id": "a94e2684", "metadata": {}, "source": [ "## Installing Libraries\n", @@ -603,7 +603,7 @@ }, { "cell_type": "markdown", - "id": "0a056f38", + "id": "b734e512", "metadata": { "hide-output": false }, @@ -615,7 +615,7 @@ }, { "cell_type": "markdown", - "id": "3c64e3d6", + "id": "009aa120", "metadata": {}, "source": [ "into a cell.\n", @@ -625,7 +625,7 @@ }, { "cell_type": "markdown", - "id": "2269b7e2", + "id": "00675261", "metadata": { "hide-output": false }, @@ -637,7 +637,7 @@ }, { "cell_type": "markdown", - "id": "e3dc63e4", + "id": "1ca75aab", "metadata": {}, "source": [ "More instructions can be found on the [library page](http://quantecon.org/quantecon-py).\n", @@ -647,7 +647,7 @@ }, { "cell_type": "markdown", - "id": "9b4527ae", + "id": "fba18e63", "metadata": { "hide-output": false }, @@ -659,7 +659,7 @@ }, { "cell_type": "markdown", - "id": "0f2314bf", + "id": "9e553d9f", "metadata": {}, "source": [ "Another library we will be using is [interpolation.py](https://github.com/EconForge/interpolation.py).\n", @@ -669,7 +669,7 @@ }, { "cell_type": "markdown", - "id": "82dfc3dd", + "id": "20922aa5", "metadata": { "hide-output": false }, @@ -681,7 +681,7 @@ }, { "cell_type": "markdown", - "id": "cacdd9c4", + "id": "ee66a430", "metadata": {}, "source": [ "## Working with Python Files\n", @@ -701,7 +701,7 @@ { "cell_type": "code", "execution_count": null, - "id": "98bab38e", + "id": "604c6bbf", "metadata": { "hide-output": false }, @@ -714,7 +714,7 @@ }, { "cell_type": "markdown", - "id": "5db152a4", + "id": "5710d3e4", "metadata": {}, "source": [ "This writes the line `print(\"foobar\")` into a file called `foo.py` in the local directory.\n", @@ -724,7 +724,7 @@ }, { "cell_type": "markdown", - "id": "6682d4bb", + "id": "287fb8d1", "metadata": {}, "source": [ "### Editing and Execution\n", @@ -738,7 +738,7 @@ }, { "cell_type": "markdown", - "id": "04b28ee2", + "id": "49b4834e", "metadata": {}, "source": [ "#### Option 1: JupyterLab\n", @@ -758,7 +758,7 @@ }, { "cell_type": "markdown", - "id": "107a211c", + "id": "49452d15", "metadata": {}, "source": [ "#### Option 2: Using a Text Editor\n", @@ -785,7 +785,7 @@ }, { "cell_type": "markdown", - "id": "3d779b83", + "id": "b22d0852", "metadata": {}, "source": [ "## Exercises" @@ -793,7 +793,7 @@ }, { "cell_type": "markdown", - "id": "9e08bcff", + "id": "a0eb2189", "metadata": {}, "source": [ "## Exercise 2.1\n", @@ -822,7 +822,7 @@ } ], "metadata": { - "date": 1702956202.1048799, + "date": 1703113307.3210764, "filename": "getting_started.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/intro.ipynb b/_notebooks/intro.ipynb index 6537aba2..f8ea058c 100644 --- a/_notebooks/intro.ipynb +++ b/_notebooks/intro.ipynb @@ -2,20 +2,21 @@ "cells": [ { "cell_type": "markdown", - "id": "b3ac7534", + "id": "e75638fa", "metadata": {}, "source": [ "# Python Programming for Economics and Finance\n", "\n", - "This website presents a set of lectures on Python programming for economics and finance, designed and written by\n", - "[Thomas J. Sargent](http://www.tomsargent.com/) and [John Stachurski](http://johnstachurski.net/). This is the first text in the series, which focuses on programming in Python.\n", + "This website presents a set of lectures on Python programming for economics and finance.\n", + "\n", + "This is the first text in the series, which focuses on programming in Python.\n", "\n", "For an overview of the series, see [this page](https://quantecon.org/python-lectures/)" ] }, { "cell_type": "markdown", - "id": "704ea227", + "id": "1f99ff55", "metadata": {}, "source": [ "# Introduction to Python\n", @@ -32,7 +33,7 @@ }, { "cell_type": "markdown", - "id": "3072ebf7", + "id": "94b9a5e5", "metadata": {}, "source": [ "# The Scientific Libraries\n", @@ -47,7 +48,7 @@ }, { "cell_type": "markdown", - "id": "21d0bbe0", + "id": "71c5d225", "metadata": {}, "source": [ "# High Performance Computing\n", @@ -59,7 +60,7 @@ }, { "cell_type": "markdown", - "id": "bcdac243", + "id": "4f6131d8", "metadata": {}, "source": [ "# Advanced Python Programming\n", @@ -71,7 +72,7 @@ }, { "cell_type": "markdown", - "id": "bf3a5fe5", + "id": "24cdd855", "metadata": {}, "source": [ "# Other\n", @@ -82,7 +83,7 @@ } ], "metadata": { - "date": 1702956202.1207788, + "date": 1703113307.3370168, "filename": "intro.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/jax_intro.ipynb b/_notebooks/jax_intro.ipynb index 345eefcd..51431685 100644 --- a/_notebooks/jax_intro.ipynb +++ b/_notebooks/jax_intro.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "8cd77d38", + "id": "e1ab2ce0", "metadata": {}, "source": [ "# JAX" @@ -10,7 +10,7 @@ }, { "cell_type": "markdown", - "id": "eaf14300", + "id": "02d3ba84", "metadata": {}, "source": [ "# New website\n", @@ -22,7 +22,7 @@ } ], "metadata": { - "date": 1702956202.1228957, + "date": 1703113307.3390574, "filename": "jax_intro.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/matplotlib.ipynb b/_notebooks/matplotlib.ipynb index c621c716..b9271bc4 100644 --- a/_notebooks/matplotlib.ipynb +++ b/_notebooks/matplotlib.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "9bf49d20", + "id": "0ec326a1", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "2e0d73a6", + "id": "3a9280ef", "metadata": {}, "source": [ "# Matplotlib\n", @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "99137793", + "id": "a886697b", "metadata": {}, "source": [ "## Contents\n", @@ -42,7 +42,7 @@ }, { "cell_type": "markdown", - "id": "cb8b18c0", + "id": "6ffb00f2", "metadata": {}, "source": [ "## Overview\n", @@ -60,7 +60,7 @@ }, { "cell_type": "markdown", - "id": "d63fed3f", + "id": "e40fef33", "metadata": {}, "source": [ "### Matplotlib’s Split Personality\n", @@ -78,7 +78,7 @@ }, { "cell_type": "markdown", - "id": "49169bd7", + "id": "fe75dea7", "metadata": {}, "source": [ "## The APIs\n", @@ -89,7 +89,7 @@ }, { "cell_type": "markdown", - "id": "8bfda517", + "id": "bcedb0e2", "metadata": {}, "source": [ "### The MATLAB-style API\n", @@ -100,7 +100,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5ce31508", + "id": "f1dc3932", "metadata": { "hide-output": false }, @@ -120,7 +120,7 @@ }, { "cell_type": "markdown", - "id": "d5703661", + "id": "65c383aa", "metadata": {}, "source": [ "This is simple and convenient, but also somewhat limited and un-Pythonic.\n", @@ -134,7 +134,7 @@ }, { "cell_type": "markdown", - "id": "47d24534", + "id": "8f5460d0", "metadata": {}, "source": [ "### The Object-Oriented API\n", @@ -145,7 +145,7 @@ { "cell_type": "code", "execution_count": null, - "id": "284cbdf7", + "id": "0b801a49", "metadata": { "hide-output": false }, @@ -158,7 +158,7 @@ }, { "cell_type": "markdown", - "id": "ee8046b8", + "id": "63c598cd", "metadata": {}, "source": [ "Here the call `fig, ax = plt.subplots()` returns a pair, where\n", @@ -176,7 +176,7 @@ }, { "cell_type": "markdown", - "id": "7e80b7d1", + "id": "c1a3d846", "metadata": {}, "source": [ "### Tweaks\n", @@ -187,7 +187,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f5a8e5b0", + "id": "452da0d5", "metadata": { "hide-output": false }, @@ -201,7 +201,7 @@ }, { "cell_type": "markdown", - "id": "d13ef63a", + "id": "66cc07c4", "metadata": {}, "source": [ "We’ve also used `alpha` to make the line slightly transparent—which makes it look smoother.\n", @@ -212,7 +212,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9a5230fb", + "id": "fb9ad0af", "metadata": { "hide-output": false }, @@ -226,7 +226,7 @@ }, { "cell_type": "markdown", - "id": "4cde0bd6", + "id": "9d7ba8c4", "metadata": {}, "source": [ "If everything is properly configured, then adding LaTeX is trivial" @@ -235,7 +235,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a11c98e5", + "id": "38706027", "metadata": { "hide-output": false }, @@ -249,7 +249,7 @@ }, { "cell_type": "markdown", - "id": "fc239fb4", + "id": "2e2e9a66", "metadata": {}, "source": [ "Controlling the ticks, adding titles and so on is also straightforward" @@ -258,7 +258,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e4b62b6a", + "id": "02639cc6", "metadata": { "hide-output": false }, @@ -274,7 +274,7 @@ }, { "cell_type": "markdown", - "id": "d4b464b8", + "id": "4a41c152", "metadata": {}, "source": [ "## More Features\n", @@ -287,7 +287,7 @@ }, { "cell_type": "markdown", - "id": "7d78c343", + "id": "6a268de8", "metadata": {}, "source": [ "### Multiple Plots on One Axis\n", @@ -302,7 +302,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d8f64273", + "id": "768e187a", "metadata": { "hide-output": false }, @@ -324,7 +324,7 @@ }, { "cell_type": "markdown", - "id": "98cc6ff8", + "id": "0fc26e9f", "metadata": {}, "source": [ "### Multiple Subplots\n", @@ -339,7 +339,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1f3471c5", + "id": "c52c768c", "metadata": { "hide-output": false }, @@ -359,7 +359,7 @@ }, { "cell_type": "markdown", - "id": "bc745f09", + "id": "f86ed520", "metadata": {}, "source": [ "### 3D Plots\n", @@ -372,7 +372,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f70e5533", + "id": "9c68110b", "metadata": { "hide-output": false }, @@ -404,7 +404,7 @@ }, { "cell_type": "markdown", - "id": "6ceadbb5", + "id": "94dbbe74", "metadata": {}, "source": [ "### A Customizing Function\n", @@ -421,7 +421,7 @@ { "cell_type": "code", "execution_count": null, - "id": "44d68113", + "id": "9b088957", "metadata": { "hide-output": false }, @@ -451,7 +451,7 @@ }, { "cell_type": "markdown", - "id": "9fb49209", + "id": "55af6e3b", "metadata": {}, "source": [ "The custom `subplots` function\n", @@ -463,7 +463,7 @@ }, { "cell_type": "markdown", - "id": "9512bf07", + "id": "aad8b55a", "metadata": {}, "source": [ "### Style Sheets\n", @@ -478,7 +478,7 @@ { "cell_type": "code", "execution_count": null, - "id": "01242e88", + "id": "802dc3f6", "metadata": { "hide-output": false }, @@ -489,7 +489,7 @@ }, { "cell_type": "markdown", - "id": "52f5967e", + "id": "c099a7a1", "metadata": {}, "source": [ "We can now use the `plt.style.use()` method to set the style sheet.\n", @@ -500,7 +500,7 @@ { "cell_type": "code", "execution_count": null, - "id": "955fc8ed", + "id": "eff4a00d", "metadata": { "hide-output": false }, @@ -545,7 +545,7 @@ }, { "cell_type": "markdown", - "id": "26b5b008", + "id": "b0fe0161", "metadata": {}, "source": [ "Let’s see what some of the styles look like.\n", @@ -556,7 +556,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ac1c7b7a", + "id": "8e017b3c", "metadata": { "hide-output": false }, @@ -567,7 +567,7 @@ }, { "cell_type": "markdown", - "id": "706030a1", + "id": "d0e0edcf", "metadata": {}, "source": [ "We can use `grayscale` to remove colors in plots" @@ -576,7 +576,7 @@ { "cell_type": "code", "execution_count": null, - "id": "81109337", + "id": "0698c9ad", "metadata": { "hide-output": false }, @@ -587,7 +587,7 @@ }, { "cell_type": "markdown", - "id": "8139f718", + "id": "60868ca2", "metadata": {}, "source": [ "Here is what `ggplot` looks like" @@ -596,7 +596,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6764ba96", + "id": "1bfc2b28", "metadata": { "hide-output": false }, @@ -607,7 +607,7 @@ }, { "cell_type": "markdown", - "id": "d6361bc2", + "id": "543e0272", "metadata": {}, "source": [ "We can also use the style `dark_background`" @@ -616,7 +616,7 @@ { "cell_type": "code", "execution_count": null, - "id": "325ce3b6", + "id": "ac0b96a0", "metadata": { "hide-output": false }, @@ -627,7 +627,7 @@ }, { "cell_type": "markdown", - "id": "e580a84f", + "id": "6ddbc61a", "metadata": {}, "source": [ "You can use the function to experiment with other styles in the list.\n", @@ -640,7 +640,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e1d05952", + "id": "70221782", "metadata": { "hide-output": false }, @@ -651,7 +651,7 @@ }, { "cell_type": "markdown", - "id": "d1294ee2", + "id": "69df839e", "metadata": {}, "source": [ "There are many parameters you could set for your style sheets.\n", @@ -668,7 +668,7 @@ { "cell_type": "code", "execution_count": null, - "id": "04f0c917", + "id": "9b2d725f", "metadata": { "hide-output": false }, @@ -709,7 +709,7 @@ }, { "cell_type": "markdown", - "id": "f9b7b82e", + "id": "05730a81", "metadata": {}, "source": [ ">**Note**\n", @@ -722,7 +722,7 @@ { "cell_type": "code", "execution_count": null, - "id": "421ac045", + "id": "7e742e90", "metadata": { "hide-output": false }, @@ -741,7 +741,7 @@ }, { "cell_type": "markdown", - "id": "72e88e2c", + "id": "b6637a6c", "metadata": {}, "source": [ "Apply the `default` style sheet again to change your style back to default" @@ -750,7 +750,7 @@ { "cell_type": "code", "execution_count": null, - "id": "caf9eee2", + "id": "50855b95", "metadata": { "hide-output": false }, @@ -764,7 +764,7 @@ }, { "cell_type": "markdown", - "id": "133f9606", + "id": "426c75bd", "metadata": {}, "source": [ "Here are [more examples](https://www.datafantic.com/the-magic-of-matplotlib-stylesheets/) on how to change these parameters." @@ -772,7 +772,7 @@ }, { "cell_type": "markdown", - "id": "1e38bac2", + "id": "b3bda584", "metadata": {}, "source": [ "## Further Reading\n", @@ -786,7 +786,7 @@ }, { "cell_type": "markdown", - "id": "f7574356", + "id": "52e26d3d", "metadata": {}, "source": [ "## Exercises" @@ -794,7 +794,7 @@ }, { "cell_type": "markdown", - "id": "dd1979cd", + "id": "b34768f6", "metadata": {}, "source": [ "## Exercise 11.1\n", @@ -816,7 +816,7 @@ }, { "cell_type": "markdown", - "id": "a7c21e53", + "id": "897e41dd", "metadata": {}, "source": [ "## Solution to[ Exercise 11.1](https://python-programming.quantecon.org/#mpl_ex1)\n", @@ -827,7 +827,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8a497344", + "id": "b92cf86c", "metadata": { "hide-output": false }, @@ -848,7 +848,7 @@ } ], "metadata": { - "date": 1702956202.2902014, + "date": 1703113307.5193956, "filename": "matplotlib.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/need_for_speed.ipynb b/_notebooks/need_for_speed.ipynb index 8aea64f3..530a1469 100644 --- a/_notebooks/need_for_speed.ipynb +++ b/_notebooks/need_for_speed.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "6b080a75", + "id": "c4f132bb", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "1b11c34d", + "id": "fde5cfe5", "metadata": {}, "source": [ "# Python for Scientific Computing" @@ -24,7 +24,7 @@ }, { "cell_type": "markdown", - "id": "5b90655c", + "id": "ffbb1ab4", "metadata": {}, "source": [ "## Contents\n", @@ -39,7 +39,7 @@ }, { "cell_type": "markdown", - "id": "7cd0aec6", + "id": "cb3198fa", "metadata": {}, "source": [ "> “We should forget about small efficiencies, say about 97% of the time:\n", @@ -48,7 +48,7 @@ }, { "cell_type": "markdown", - "id": "5f2afee7", + "id": "323231d2", "metadata": {}, "source": [ "## Overview\n", @@ -78,7 +78,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8dfd5672", + "id": "dbce5081", "metadata": { "hide-output": false }, @@ -89,7 +89,7 @@ }, { "cell_type": "markdown", - "id": "4b6e332a", + "id": "552e7f52", "metadata": {}, "source": [ "## Scientific Libraries\n", @@ -100,7 +100,7 @@ }, { "cell_type": "markdown", - "id": "7068b6b5", + "id": "881f8718", "metadata": {}, "source": [ "### The Role of Scientific Libraries\n", @@ -125,7 +125,7 @@ }, { "cell_type": "markdown", - "id": "386edcae", + "id": "7a894323", "metadata": {}, "source": [ "### Python’s Scientific Ecosystem\n", @@ -162,7 +162,7 @@ }, { "cell_type": "markdown", - "id": "1582dfec", + "id": "ae7d22c3", "metadata": {}, "source": [ "## The Need for Speed\n", @@ -202,7 +202,7 @@ }, { "cell_type": "markdown", - "id": "94858096", + "id": "aceaa33a", "metadata": {}, "source": [ "### Where are the Bottlenecks?\n", @@ -215,7 +215,7 @@ }, { "cell_type": "markdown", - "id": "03497862", + "id": "90179b38", "metadata": {}, "source": [ "#### Dynamic Typing\n", @@ -228,7 +228,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a18e6d5d", + "id": "822f8126", "metadata": { "hide-output": false }, @@ -240,7 +240,7 @@ }, { "cell_type": "markdown", - "id": "17d5ee16", + "id": "635e5307", "metadata": {}, "source": [ "Even for this simple operation, the Python interpreter has a fair bit of work to do.\n", @@ -254,7 +254,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bc9442d7", + "id": "9f685c74", "metadata": { "hide-output": false }, @@ -266,7 +266,7 @@ }, { "cell_type": "markdown", - "id": "d97c6105", + "id": "56e96657", "metadata": {}, "source": [ "If `a` and `b` are lists, then `a + b` requires list concatenation" @@ -275,7 +275,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b323e5c9", + "id": "0f693b34", "metadata": { "hide-output": false }, @@ -287,7 +287,7 @@ }, { "cell_type": "markdown", - "id": "03f32950", + "id": "c00919a6", "metadata": {}, "source": [ "(We say that the operator `+` is *overloaded* — its action depends on the\n", @@ -300,7 +300,7 @@ }, { "cell_type": "markdown", - "id": "699b3467", + "id": "0539ea6e", "metadata": {}, "source": [ "#### Static Types\n", @@ -314,7 +314,7 @@ }, { "cell_type": "markdown", - "id": "7c43de26", + "id": "cfe5cb6e", "metadata": { "hide-output": false }, @@ -336,7 +336,7 @@ }, { "cell_type": "markdown", - "id": "74faff9d", + "id": "895af8a6", "metadata": {}, "source": [ "The variables `i` and `sum` are explicitly declared to be integers.\n", @@ -346,7 +346,7 @@ }, { "cell_type": "markdown", - "id": "d44d414c", + "id": "555bd6c1", "metadata": {}, "source": [ "### Data Access\n", @@ -358,7 +358,7 @@ }, { "cell_type": "markdown", - "id": "ea0f65e2", + "id": "d605402c", "metadata": {}, "source": [ "#### Summing with Compiled Code\n", @@ -386,7 +386,7 @@ }, { "cell_type": "markdown", - "id": "313ad72c", + "id": "648463aa", "metadata": {}, "source": [ "#### Summing in Pure Python\n", @@ -408,7 +408,7 @@ }, { "cell_type": "markdown", - "id": "f7f24674", + "id": "a19aa55f", "metadata": {}, "source": [ "## Vectorization\n", @@ -435,7 +435,7 @@ }, { "cell_type": "markdown", - "id": "d22fe549", + "id": "a4bc9939", "metadata": {}, "source": [ "### Operations on Arrays\n", @@ -448,7 +448,7 @@ { "cell_type": "code", "execution_count": null, - "id": "112a36e2", + "id": "0b64913c", "metadata": { "hide-output": false }, @@ -461,7 +461,7 @@ }, { "cell_type": "markdown", - "id": "b3cf940a", + "id": "4bb0ad54", "metadata": {}, "source": [ "Next let’s try some non-vectorized code, which uses a native Python loop to generate,\n", @@ -471,7 +471,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7b62568d", + "id": "542a52d8", "metadata": { "hide-output": false }, @@ -483,7 +483,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f5dd70b1", + "id": "0b61cc3f", "metadata": { "hide-output": false }, @@ -499,7 +499,7 @@ }, { "cell_type": "markdown", - "id": "a38cdf86", + "id": "fece92cf", "metadata": {}, "source": [ "The following vectorized code achieves the same thing." @@ -508,7 +508,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1b691aa3", + "id": "2fef02f1", "metadata": { "hide-output": false }, @@ -522,7 +522,7 @@ }, { "cell_type": "markdown", - "id": "86a9dea0", + "id": "c10f96d8", "metadata": {}, "source": [ "As you can see, the second code block runs much faster. Why?\n", @@ -552,7 +552,7 @@ }, { "cell_type": "markdown", - "id": "2275e603", + "id": "acbf66c0", "metadata": {}, "source": [ "### Universal Functions\n", @@ -573,7 +573,7 @@ { "cell_type": "code", "execution_count": null, - "id": "53a01b0b", + "id": "2f65d458", "metadata": { "hide-output": false }, @@ -585,7 +585,7 @@ { "cell_type": "code", "execution_count": null, - "id": "13b5b6f4", + "id": "cd22ca8e", "metadata": { "hide-output": false }, @@ -596,7 +596,7 @@ }, { "cell_type": "markdown", - "id": "2c718273", + "id": "bb38a25b", "metadata": {}, "source": [ "By exploiting ufuncs, many operations can be vectorized.\n", @@ -618,7 +618,7 @@ { "cell_type": "code", "execution_count": null, - "id": "735ed5d0", + "id": "24847652", "metadata": { "hide-output": false }, @@ -653,7 +653,7 @@ }, { "cell_type": "markdown", - "id": "cfd0541f", + "id": "54b3eae2", "metadata": {}, "source": [ "To maximize it, we’re going to use a naive grid search:\n", @@ -668,7 +668,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c4919a49", + "id": "0febcff7", "metadata": { "hide-output": false }, @@ -679,7 +679,7 @@ }, { "cell_type": "markdown", - "id": "65b9efaf", + "id": "296c0070", "metadata": {}, "source": [ "Here’s a non-vectorized version that uses Python loops." @@ -688,7 +688,7 @@ { "cell_type": "code", "execution_count": null, - "id": "aa8b54ac", + "id": "a01e4483", "metadata": { "hide-output": false }, @@ -707,7 +707,7 @@ }, { "cell_type": "markdown", - "id": "243ecc7a", + "id": "39704457", "metadata": {}, "source": [ "And here’s a vectorized version" @@ -716,7 +716,7 @@ { "cell_type": "code", "execution_count": null, - "id": "103080a7", + "id": "7065775e", "metadata": { "hide-output": false }, @@ -730,7 +730,7 @@ }, { "cell_type": "markdown", - "id": "8fa80407", + "id": "522c3842", "metadata": {}, "source": [ "In the vectorized version, all the looping takes place in compiled code.\n", @@ -745,7 +745,7 @@ }, { "cell_type": "markdown", - "id": "1e64a883", + "id": "16a4b84a", "metadata": {}, "source": [ "## Beyond Vectorization\n", @@ -780,7 +780,7 @@ } ], "metadata": { - "date": 1702956202.3149168, + "date": 1703113307.5448184, "filename": "need_for_speed.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/numba.ipynb b/_notebooks/numba.ipynb index 3e3a81f2..ea5cea49 100644 --- a/_notebooks/numba.ipynb +++ b/_notebooks/numba.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "50c9a456", + "id": "23f0eb4f", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "9a889041", + "id": "c41987db", "metadata": {}, "source": [ "# Numba" @@ -24,7 +24,7 @@ }, { "cell_type": "markdown", - "id": "97d693b7", + "id": "3469c0d5", "metadata": {}, "source": [ "## Contents\n", @@ -42,7 +42,7 @@ }, { "cell_type": "markdown", - "id": "63990b11", + "id": "5290b686", "metadata": {}, "source": [ "In addition to what’s in Anaconda, this lecture will need the following libraries:" @@ -51,7 +51,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e559e4f7", + "id": "c7b49611", "metadata": { "hide-output": false }, @@ -62,7 +62,7 @@ }, { "cell_type": "markdown", - "id": "37240671", + "id": "d82cab75", "metadata": {}, "source": [ "Please also make sure that you have the latest version of Anaconda, since old\n", @@ -74,7 +74,7 @@ { "cell_type": "code", "execution_count": null, - "id": "348c79f1", + "id": "b4cf70a7", "metadata": { "hide-output": false }, @@ -89,7 +89,7 @@ }, { "cell_type": "markdown", - "id": "3ef9519c", + "id": "d330cc5d", "metadata": {}, "source": [ "## Overview\n", @@ -128,7 +128,7 @@ }, { "cell_type": "markdown", - "id": "86ac5399", + "id": "a9dc3b60", "metadata": {}, "source": [ "## Compiling Functions\n", @@ -144,7 +144,7 @@ }, { "cell_type": "markdown", - "id": "3ebdf222", + "id": "e5c53022", "metadata": {}, "source": [ "### An Example\n", @@ -163,7 +163,7 @@ { "cell_type": "code", "execution_count": null, - "id": "afc8ea9e", + "id": "5c5cb6a1", "metadata": { "hide-output": false }, @@ -174,7 +174,7 @@ }, { "cell_type": "markdown", - "id": "409d066c", + "id": "2ba02731", "metadata": {}, "source": [ "Here’s the plot of a typical trajectory, starting from $ x_0 = 0.1 $, with $ t $ on the x-axis" @@ -183,7 +183,7 @@ { "cell_type": "code", "execution_count": null, - "id": "37e026c3", + "id": "01b02869", "metadata": { "hide-output": false }, @@ -206,7 +206,7 @@ }, { "cell_type": "markdown", - "id": "21650b18", + "id": "fe6cbfbe", "metadata": {}, "source": [ "To speed the function `qm` up using Numba, our first step is" @@ -215,7 +215,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3db83f00", + "id": "58145e3c", "metadata": { "hide-output": false }, @@ -228,7 +228,7 @@ }, { "cell_type": "markdown", - "id": "d303413e", + "id": "c38a52f1", "metadata": {}, "source": [ "The function `qm_numba` is a version of `qm` that is “targeted” for\n", @@ -242,7 +242,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ce46ab2f", + "id": "16362040", "metadata": { "hide-output": false }, @@ -257,7 +257,7 @@ }, { "cell_type": "markdown", - "id": "ea1600ac", + "id": "22a1e3df", "metadata": {}, "source": [ "Now let’s try qm_numba" @@ -266,7 +266,7 @@ { "cell_type": "code", "execution_count": null, - "id": "65b04b78", + "id": "5f8cbad8", "metadata": { "hide-output": false }, @@ -279,7 +279,7 @@ }, { "cell_type": "markdown", - "id": "2c072fa0", + "id": "19608173", "metadata": {}, "source": [ "This is already a massive speed gain.\n", @@ -293,7 +293,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a7338108", + "id": "6b8469b7", "metadata": { "hide-output": false }, @@ -307,7 +307,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3adf4733", + "id": "5d7ee5c0", "metadata": { "hide-output": false }, @@ -318,7 +318,7 @@ }, { "cell_type": "markdown", - "id": "0af3eace", + "id": "daf78097", "metadata": {}, "source": [ "This kind of speed gain is huge relative to how simple and clear the implementation is." @@ -326,7 +326,7 @@ }, { "cell_type": "markdown", - "id": "bfa4f1fa", + "id": "9300d830", "metadata": {}, "source": [ "### How and When it Works\n", @@ -359,7 +359,7 @@ }, { "cell_type": "markdown", - "id": "91e16c3f", + "id": "228a0b29", "metadata": {}, "source": [ "## Decorator Notation\n", @@ -370,7 +370,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f7b9aa65", + "id": "2f332cfe", "metadata": { "hide-output": false }, @@ -381,7 +381,7 @@ }, { "cell_type": "markdown", - "id": "aee0e6a4", + "id": "1ab88479", "metadata": {}, "source": [ "In practice this would typically be done using an alternative *decorator* syntax.\n", @@ -398,7 +398,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c50d9f24", + "id": "ccd83a5e", "metadata": { "hide-output": false }, @@ -415,7 +415,7 @@ }, { "cell_type": "markdown", - "id": "a3e681f7", + "id": "9d3e0292", "metadata": {}, "source": [ "This is equivalent to `qm = njit(qm)`.\n", @@ -426,7 +426,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c824585e", + "id": "90c2e06b", "metadata": { "hide-output": false }, @@ -439,7 +439,7 @@ }, { "cell_type": "markdown", - "id": "23339ae9", + "id": "18b6998f", "metadata": {}, "source": [ "Numba provides several arguments for decorators to accelerate computation and cache functions [here](https://numba.readthedocs.io/en/stable/user/performance-tips.html).\n", @@ -449,7 +449,7 @@ }, { "cell_type": "markdown", - "id": "aa5a8311", + "id": "66f96f97", "metadata": {}, "source": [ "## Type Inference\n", @@ -474,7 +474,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b7337b28", + "id": "350fe360", "metadata": { "hide-output": false }, @@ -506,7 +506,7 @@ }, { "cell_type": "markdown", - "id": "eea59ab6", + "id": "a96aa7f1", "metadata": {}, "source": [ "But Numba recognizes JIT-compiled functions" @@ -515,7 +515,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a9b9c486", + "id": "b02817e9", "metadata": { "hide-output": false }, @@ -532,7 +532,7 @@ }, { "cell_type": "markdown", - "id": "0e056f34", + "id": "0ed9abe4", "metadata": {}, "source": [ "We can check the signature of the JIT-compiled function" @@ -541,7 +541,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fa9472ae", + "id": "6ffd4e13", "metadata": { "hide-output": false }, @@ -552,7 +552,7 @@ }, { "cell_type": "markdown", - "id": "062249ed", + "id": "ace2f0d3", "metadata": {}, "source": [ "The function `bootstrap` takes one `float64` floating point array, one function called `mean` and an `int64` integer.\n", @@ -565,7 +565,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9861637e", + "id": "52ece41b", "metadata": { "hide-output": false }, @@ -578,7 +578,7 @@ }, { "cell_type": "markdown", - "id": "c58f0d39", + "id": "7b8562a9", "metadata": {}, "source": [ "As expected, the second run is much faster.\n", @@ -589,7 +589,7 @@ { "cell_type": "code", "execution_count": null, - "id": "34bab8d8", + "id": "f63845d0", "metadata": { "hide-output": false }, @@ -602,7 +602,7 @@ }, { "cell_type": "markdown", - "id": "277f9133", + "id": "3a4c8d86", "metadata": {}, "source": [ "Note that a second signature is added.\n", @@ -616,7 +616,7 @@ }, { "cell_type": "markdown", - "id": "ec284d3a", + "id": "6ca88301", "metadata": {}, "source": [ "## Compiling Classes\n", @@ -639,7 +639,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f4ece445", + "id": "71a449d0", "metadata": { "hide-output": false }, @@ -651,7 +651,7 @@ }, { "cell_type": "markdown", - "id": "9f4b91db", + "id": "c06e7966", "metadata": {}, "source": [ "Notice that we also imported something called `float64`.\n", @@ -666,7 +666,7 @@ { "cell_type": "code", "execution_count": null, - "id": "265e05a5", + "id": "a87fa189", "metadata": { "hide-output": false }, @@ -728,7 +728,7 @@ }, { "cell_type": "markdown", - "id": "990500a0", + "id": "89b72bf9", "metadata": {}, "source": [ "First we specified the types of the instance data for the class in\n", @@ -743,7 +743,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cd774dc6", + "id": "2c1e6b76", "metadata": { "hide-output": false }, @@ -770,7 +770,7 @@ }, { "cell_type": "markdown", - "id": "ae11a33e", + "id": "a1dc3266", "metadata": {}, "source": [ "## Alternatives to Numba\n", @@ -788,7 +788,7 @@ }, { "cell_type": "markdown", - "id": "e8e2a06f", + "id": "328017a1", "metadata": {}, "source": [ "### Cython\n", @@ -813,7 +813,7 @@ }, { "cell_type": "markdown", - "id": "425026d9", + "id": "c6a50fdd", "metadata": {}, "source": [ "### Interfacing with Fortran via F2Py\n", @@ -834,7 +834,7 @@ }, { "cell_type": "markdown", - "id": "7813c24c", + "id": "2387d92d", "metadata": {}, "source": [ "## Summary and Comments\n", @@ -844,7 +844,7 @@ }, { "cell_type": "markdown", - "id": "5b07062c", + "id": "2ae3df2b", "metadata": {}, "source": [ "### Limitations\n", @@ -863,7 +863,7 @@ }, { "cell_type": "markdown", - "id": "4832064d", + "id": "bda0cc66", "metadata": {}, "source": [ "### A Gotcha: Global Variables\n", @@ -876,7 +876,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c85e91d5", + "id": "4a5cd9fe", "metadata": { "hide-output": false }, @@ -894,7 +894,7 @@ { "cell_type": "code", "execution_count": null, - "id": "05c069e7", + "id": "9830bb7a", "metadata": { "hide-output": false }, @@ -907,7 +907,7 @@ }, { "cell_type": "markdown", - "id": "fbef269c", + "id": "a99e503e", "metadata": {}, "source": [ "Notice that changing the global had no effect on the value returned by the\n", @@ -918,7 +918,7 @@ }, { "cell_type": "markdown", - "id": "3d94c2cc", + "id": "c68a6f8d", "metadata": {}, "source": [ "## Exercises" @@ -926,7 +926,7 @@ }, { "cell_type": "markdown", - "id": "c28c7b09", + "id": "7bd93682", "metadata": {}, "source": [ "## Exercise 15.1\n", @@ -941,7 +941,7 @@ }, { "cell_type": "markdown", - "id": "920d804a", + "id": "2d40380a", "metadata": {}, "source": [ "## Solution to[ Exercise 15.1](https://python-programming.quantecon.org/#speed_ex1)\n", @@ -952,7 +952,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e5658676", + "id": "440c1b6a", "metadata": { "hide-output": false }, @@ -975,7 +975,7 @@ }, { "cell_type": "markdown", - "id": "949f027d", + "id": "2c3c4bc6", "metadata": {}, "source": [ "Now let’s see how fast it runs:" @@ -984,7 +984,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a2fc2bd6", + "id": "2b7137ba", "metadata": { "hide-output": false }, @@ -996,7 +996,7 @@ { "cell_type": "code", "execution_count": null, - "id": "01d7507a", + "id": "d6f11172", "metadata": { "hide-output": false }, @@ -1007,7 +1007,7 @@ }, { "cell_type": "markdown", - "id": "06371e2e", + "id": "2f45ebb2", "metadata": {}, "source": [ "If we switch off JIT compilation by removing `@njit`, the code takes around\n", @@ -1019,7 +1019,7 @@ }, { "cell_type": "markdown", - "id": "dcb493f9", + "id": "70670027", "metadata": {}, "source": [ "## Exercise 15.2\n", @@ -1060,7 +1060,7 @@ }, { "cell_type": "markdown", - "id": "5eb07ed1", + "id": "b40c0a1c", "metadata": {}, "source": [ "## Solution to[ Exercise 15.2](https://python-programming.quantecon.org/#speed_ex2)\n", @@ -1074,7 +1074,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b4c825b9", + "id": "4cd919ad", "metadata": { "hide-output": false }, @@ -1085,7 +1085,7 @@ }, { "cell_type": "markdown", - "id": "b04976ae", + "id": "f39da841", "metadata": {}, "source": [ "Here’s a pure Python version of the function" @@ -1094,7 +1094,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3b1e5caf", + "id": "d35eb763", "metadata": { "hide-output": false }, @@ -1115,7 +1115,7 @@ }, { "cell_type": "markdown", - "id": "466cf036", + "id": "a1bdb2ba", "metadata": {}, "source": [ "Let’s run this code and check that the fraction of time spent in the low\n", @@ -1125,7 +1125,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a87c9569", + "id": "1a46f61a", "metadata": { "hide-output": false }, @@ -1138,7 +1138,7 @@ }, { "cell_type": "markdown", - "id": "45dddaeb", + "id": "eeefa381", "metadata": {}, "source": [ "This is (approximately) the right output.\n", @@ -1149,7 +1149,7 @@ { "cell_type": "code", "execution_count": null, - "id": "04d3aa9c", + "id": "c30d6439", "metadata": { "hide-output": false }, @@ -1162,7 +1162,7 @@ }, { "cell_type": "markdown", - "id": "1ffd710a", + "id": "a8a68547", "metadata": {}, "source": [ "Next let’s implement a Numba version, which is easy" @@ -1171,7 +1171,7 @@ { "cell_type": "code", "execution_count": null, - "id": "dcf64004", + "id": "ada9e446", "metadata": { "hide-output": false }, @@ -1182,7 +1182,7 @@ }, { "cell_type": "markdown", - "id": "55d3416b", + "id": "f02fa511", "metadata": {}, "source": [ "Let’s check we still get the right numbers" @@ -1191,7 +1191,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a619cc2d", + "id": "ceb0ba8f", "metadata": { "hide-output": false }, @@ -1203,7 +1203,7 @@ }, { "cell_type": "markdown", - "id": "5ca372d5", + "id": "6a82e06a", "metadata": {}, "source": [ "Let’s see the time" @@ -1212,7 +1212,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8a04402a", + "id": "cec36926", "metadata": { "hide-output": false }, @@ -1225,7 +1225,7 @@ }, { "cell_type": "markdown", - "id": "602a2a74", + "id": "f4942cc0", "metadata": {}, "source": [ "This is a nice speed improvement for one line of code!" @@ -1233,7 +1233,7 @@ } ], "metadata": { - "date": 1702956202.350618, + "date": 1703113307.5809474, "filename": "numba.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/numpy.ipynb b/_notebooks/numpy.ipynb index 2a0961ae..d00177c8 100644 --- a/_notebooks/numpy.ipynb +++ b/_notebooks/numpy.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "182688a5", + "id": "4e361110", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "d13bac35", + "id": "37276fe1", "metadata": {}, "source": [ "# NumPy\n", @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "e9c1eeec", + "id": "2a87df36", "metadata": {}, "source": [ "## Contents\n", @@ -45,7 +45,7 @@ }, { "cell_type": "markdown", - "id": "9a0e863a", + "id": "8aca1b9d", "metadata": {}, "source": [ "> “Let’s be clear: the work of science has nothing whatever to do with consensus. Consensus is the business of politics. Science, on the contrary, requires only one investigator who happens to be right, which means that he or she has results that are verifiable by reference to the real world. In science consensus is irrelevant. What is relevant is reproducible results.” – Michael Crichton" @@ -53,7 +53,7 @@ }, { "cell_type": "markdown", - "id": "71eaf387", + "id": "7f4cac0f", "metadata": {}, "source": [ "## Overview\n", @@ -74,7 +74,7 @@ }, { "cell_type": "markdown", - "id": "f8a8da51", + "id": "cdc43458", "metadata": {}, "source": [ "### References\n", @@ -88,7 +88,7 @@ }, { "cell_type": "markdown", - "id": "2986ad05", + "id": "dd921928", "metadata": {}, "source": [ "## NumPy Arrays\n", @@ -107,7 +107,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1f9adbc7", + "id": "fd5d353f", "metadata": { "hide-output": false }, @@ -118,7 +118,7 @@ }, { "cell_type": "markdown", - "id": "e514df89", + "id": "2cdc3bd9", "metadata": {}, "source": [ "To create a NumPy array containing only zeros we use [np.zeros](http://docs.scipy.org/doc/numpy/reference/generated/numpy.zeros.html#numpy.zeros)" @@ -127,7 +127,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a586379a", + "id": "26aaf4aa", "metadata": { "hide-output": false }, @@ -140,7 +140,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b4cd48cf", + "id": "4b3cb67a", "metadata": { "hide-output": false }, @@ -151,7 +151,7 @@ }, { "cell_type": "markdown", - "id": "ce72b5a7", + "id": "13d10d2b", "metadata": {}, "source": [ "NumPy arrays are somewhat like native Python lists, except that\n", @@ -175,7 +175,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b39ba5d0", + "id": "1c9658a0", "metadata": { "hide-output": false }, @@ -187,7 +187,7 @@ }, { "cell_type": "markdown", - "id": "ddbe4ffd", + "id": "42147114", "metadata": {}, "source": [ "If we want to use integers we can specify as follows:" @@ -196,7 +196,7 @@ { "cell_type": "code", "execution_count": null, - "id": "596c53fe", + "id": "f7875489", "metadata": { "hide-output": false }, @@ -208,7 +208,7 @@ }, { "cell_type": "markdown", - "id": "15fad48b", + "id": "f7328e5c", "metadata": {}, "source": [ "\n", @@ -217,7 +217,7 @@ }, { "cell_type": "markdown", - "id": "390ef30b", + "id": "3e548d04", "metadata": {}, "source": [ "### Shape and Dimension\n", @@ -230,7 +230,7 @@ { "cell_type": "code", "execution_count": null, - "id": "47fcda33", + "id": "8d9252ab", "metadata": { "hide-output": false }, @@ -241,7 +241,7 @@ }, { "cell_type": "markdown", - "id": "b4c90632", + "id": "db7e902d", "metadata": {}, "source": [ "Here `z` is a *flat* array with no dimension — neither row nor column vector.\n", @@ -252,7 +252,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c14f6b1c", + "id": "c8e2e29a", "metadata": { "hide-output": false }, @@ -263,7 +263,7 @@ }, { "cell_type": "markdown", - "id": "b1dc0ce6", + "id": "30574c81", "metadata": {}, "source": [ "Here the shape tuple has only one element, which is the length of the array (tuples with one element end with a comma).\n", @@ -274,7 +274,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4bf9470f", + "id": "8ec84d84", "metadata": { "hide-output": false }, @@ -287,7 +287,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7762ac59", + "id": "df919294", "metadata": { "hide-output": false }, @@ -300,7 +300,7 @@ }, { "cell_type": "markdown", - "id": "1f402cd3", + "id": "ebcc745d", "metadata": {}, "source": [ "In the last case, to make the 2 by 2 array, we could also pass a tuple to the `zeros()` function, as\n", @@ -312,7 +312,7 @@ }, { "cell_type": "markdown", - "id": "deac1608", + "id": "0c1b46ca", "metadata": {}, "source": [ "### Creating Arrays\n", @@ -329,7 +329,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b92f6046", + "id": "af5a2285", "metadata": { "hide-output": false }, @@ -341,7 +341,7 @@ }, { "cell_type": "markdown", - "id": "a66191b0", + "id": "efaff586", "metadata": {}, "source": [ "The numbers you see here are garbage values.\n", @@ -354,7 +354,7 @@ { "cell_type": "code", "execution_count": null, - "id": "63f77dfb", + "id": "50d25a3b", "metadata": { "hide-output": false }, @@ -365,7 +365,7 @@ }, { "cell_type": "markdown", - "id": "1abc76bf", + "id": "12e97b5a", "metadata": {}, "source": [ "To create an identity matrix use either `np.identity` or `np.eye`" @@ -374,7 +374,7 @@ { "cell_type": "code", "execution_count": null, - "id": "649eca51", + "id": "8b087f31", "metadata": { "hide-output": false }, @@ -386,7 +386,7 @@ }, { "cell_type": "markdown", - "id": "e2b7d722", + "id": "82757112", "metadata": {}, "source": [ "In addition, NumPy arrays can be created from Python lists, tuples, etc. using `np.array`" @@ -395,7 +395,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9dfb93d1", + "id": "409c6a4c", "metadata": { "hide-output": false }, @@ -408,7 +408,7 @@ { "cell_type": "code", "execution_count": null, - "id": "95fa55c2", + "id": "ab75a70b", "metadata": { "hide-output": false }, @@ -420,7 +420,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6f31b6be", + "id": "9d5eb2f4", "metadata": { "hide-output": false }, @@ -433,7 +433,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8a2b232e", + "id": "c9cb8809", "metadata": { "hide-output": false }, @@ -445,7 +445,7 @@ }, { "cell_type": "markdown", - "id": "b01191aa", + "id": "9906a3c5", "metadata": {}, "source": [ "See also `np.asarray`, which performs a similar function, but does not make\n", @@ -455,7 +455,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d03d03d3", + "id": "66fdf552", "metadata": { "hide-output": false }, @@ -468,7 +468,7 @@ { "cell_type": "code", "execution_count": null, - "id": "53595de7", + "id": "5b061ab9", "metadata": { "hide-output": false }, @@ -479,7 +479,7 @@ }, { "cell_type": "markdown", - "id": "8fc473b6", + "id": "add248e2", "metadata": {}, "source": [ "To read in the array data from a text file containing numeric data use `np.loadtxt`\n", @@ -488,7 +488,7 @@ }, { "cell_type": "markdown", - "id": "ce6d42e7", + "id": "da60914b", "metadata": {}, "source": [ "### Array Indexing\n", @@ -501,7 +501,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c1bb867d", + "id": "23746c3f", "metadata": { "hide-output": false }, @@ -514,7 +514,7 @@ { "cell_type": "code", "execution_count": null, - "id": "180a32a8", + "id": "917e1eb3", "metadata": { "hide-output": false }, @@ -526,7 +526,7 @@ { "cell_type": "code", "execution_count": null, - "id": "95ce2267", + "id": "4bc17615", "metadata": { "hide-output": false }, @@ -538,7 +538,7 @@ { "cell_type": "code", "execution_count": null, - "id": "366ee34d", + "id": "53c21ff1", "metadata": { "hide-output": false }, @@ -549,7 +549,7 @@ }, { "cell_type": "markdown", - "id": "c417f2df", + "id": "845b4e89", "metadata": {}, "source": [ "For 2D arrays the index syntax is as follows:" @@ -558,7 +558,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3f16b129", + "id": "776fa34b", "metadata": { "hide-output": false }, @@ -571,7 +571,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e2eb1723", + "id": "3229f3b7", "metadata": { "hide-output": false }, @@ -583,7 +583,7 @@ { "cell_type": "code", "execution_count": null, - "id": "88c5be5f", + "id": "a4bff0a5", "metadata": { "hide-output": false }, @@ -594,7 +594,7 @@ }, { "cell_type": "markdown", - "id": "b09af110", + "id": "c1c146d0", "metadata": {}, "source": [ "And so on.\n", @@ -607,7 +607,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ee9fada2", + "id": "709755c9", "metadata": { "hide-output": false }, @@ -619,7 +619,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0d0aed35", + "id": "87a648a0", "metadata": { "hide-output": false }, @@ -630,7 +630,7 @@ }, { "cell_type": "markdown", - "id": "e8a37daa", + "id": "fd96fcb3", "metadata": {}, "source": [ "NumPy arrays of integers can also be used to extract elements" @@ -639,7 +639,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9086761e", + "id": "c822f84a", "metadata": { "hide-output": false }, @@ -652,7 +652,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d8329ea9", + "id": "a85cecd2", "metadata": { "hide-output": false }, @@ -664,7 +664,7 @@ }, { "cell_type": "markdown", - "id": "7091d1a6", + "id": "d1e8f79e", "metadata": {}, "source": [ "Finally, an array of `dtype bool` can be used to extract elements" @@ -673,7 +673,7 @@ { "cell_type": "code", "execution_count": null, - "id": "effb7bd9", + "id": "a4b4f380", "metadata": { "hide-output": false }, @@ -685,7 +685,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f321bbeb", + "id": "5231fc67", "metadata": { "hide-output": false }, @@ -698,7 +698,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b8e46d1c", + "id": "82563be1", "metadata": { "hide-output": false }, @@ -709,7 +709,7 @@ }, { "cell_type": "markdown", - "id": "0783a5c6", + "id": "167f232c", "metadata": {}, "source": [ "We’ll see why this is useful below.\n", @@ -720,7 +720,7 @@ { "cell_type": "code", "execution_count": null, - "id": "eb09cfd6", + "id": "3eefbdf4", "metadata": { "hide-output": false }, @@ -733,7 +733,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5fcfe561", + "id": "12c23b3a", "metadata": { "hide-output": false }, @@ -745,7 +745,7 @@ }, { "cell_type": "markdown", - "id": "54d1ebe0", + "id": "2c3e7b23", "metadata": {}, "source": [ "### Array Methods\n", @@ -758,7 +758,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b9530723", + "id": "c6cb6fa2", "metadata": { "hide-output": false }, @@ -771,7 +771,7 @@ { "cell_type": "code", "execution_count": null, - "id": "832380ce", + "id": "fa722cd6", "metadata": { "hide-output": false }, @@ -784,7 +784,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bf4a3ace", + "id": "4331160a", "metadata": { "hide-output": false }, @@ -796,7 +796,7 @@ { "cell_type": "code", "execution_count": null, - "id": "10b095f9", + "id": "42cdf181", "metadata": { "hide-output": false }, @@ -808,7 +808,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7166f21e", + "id": "4bf7e55c", "metadata": { "hide-output": false }, @@ -820,7 +820,7 @@ { "cell_type": "code", "execution_count": null, - "id": "107c9862", + "id": "80782526", "metadata": { "hide-output": false }, @@ -832,7 +832,7 @@ { "cell_type": "code", "execution_count": null, - "id": "10690a6d", + "id": "106b2d10", "metadata": { "hide-output": false }, @@ -844,7 +844,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5198173f", + "id": "0fd0bab5", "metadata": { "hide-output": false }, @@ -856,7 +856,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fc00dbb6", + "id": "4896e25b", "metadata": { "hide-output": false }, @@ -868,7 +868,7 @@ { "cell_type": "code", "execution_count": null, - "id": "46fe59d0", + "id": "098c5a13", "metadata": { "hide-output": false }, @@ -880,7 +880,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3061b7d6", + "id": "4500de27", "metadata": { "hide-output": false }, @@ -892,7 +892,7 @@ }, { "cell_type": "markdown", - "id": "36c5c5a9", + "id": "1146ddcf", "metadata": {}, "source": [ "Another method worth knowing is `searchsorted()`.\n", @@ -903,7 +903,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bea62173", + "id": "4029a6c8", "metadata": { "hide-output": false }, @@ -916,7 +916,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7758e712", + "id": "dfcc1dc9", "metadata": { "hide-output": false }, @@ -927,7 +927,7 @@ }, { "cell_type": "markdown", - "id": "ad130ae9", + "id": "30eefab1", "metadata": {}, "source": [ "Many of the methods discussed above have equivalent functions in the NumPy namespace" @@ -936,7 +936,7 @@ { "cell_type": "code", "execution_count": null, - "id": "348ad515", + "id": "1672167a", "metadata": { "hide-output": false }, @@ -948,7 +948,7 @@ { "cell_type": "code", "execution_count": null, - "id": "17fab741", + "id": "7c2b62e1", "metadata": { "hide-output": false }, @@ -960,7 +960,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a76cba20", + "id": "ae8ef50a", "metadata": { "hide-output": false }, @@ -971,7 +971,7 @@ }, { "cell_type": "markdown", - "id": "17b532ef", + "id": "2f3101a9", "metadata": {}, "source": [ "## Arithmetic Operations\n", @@ -984,7 +984,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2f7c6a6d", + "id": "1cd0cf9e", "metadata": { "hide-output": false }, @@ -998,7 +998,7 @@ { "cell_type": "code", "execution_count": null, - "id": "86d0a8a8", + "id": "86152ade", "metadata": { "hide-output": false }, @@ -1009,7 +1009,7 @@ }, { "cell_type": "markdown", - "id": "af8fd771", + "id": "5608e658", "metadata": {}, "source": [ "We can add a scalar to each element as follows" @@ -1018,7 +1018,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9c3dfe72", + "id": "1904ad43", "metadata": { "hide-output": false }, @@ -1029,7 +1029,7 @@ }, { "cell_type": "markdown", - "id": "0ae6ca17", + "id": "e84e1df7", "metadata": {}, "source": [ "Scalar multiplication is similar" @@ -1038,7 +1038,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c6eb239b", + "id": "1a0a884f", "metadata": { "hide-output": false }, @@ -1049,7 +1049,7 @@ }, { "cell_type": "markdown", - "id": "2050d8ab", + "id": "cf328595", "metadata": {}, "source": [ "The two-dimensional arrays follow the same general rules" @@ -1058,7 +1058,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e2614dd8", + "id": "b9738034", "metadata": { "hide-output": false }, @@ -1072,7 +1072,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c96775f1", + "id": "baafc660", "metadata": { "hide-output": false }, @@ -1084,7 +1084,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1ee3e0e5", + "id": "d0a0dfe7", "metadata": { "hide-output": false }, @@ -1095,7 +1095,7 @@ }, { "cell_type": "markdown", - "id": "87e064f4", + "id": "44f65370", "metadata": {}, "source": [ "\n", @@ -1105,7 +1105,7 @@ }, { "cell_type": "markdown", - "id": "35a78587", + "id": "d0a348a6", "metadata": {}, "source": [ "## Matrix Multiplication\n", @@ -1119,7 +1119,7 @@ { "cell_type": "code", "execution_count": null, - "id": "eff90330", + "id": "46c80c21", "metadata": { "hide-output": false }, @@ -1132,7 +1132,7 @@ }, { "cell_type": "markdown", - "id": "8dd6a0f7", + "id": "064f4c49", "metadata": {}, "source": [ "(For older versions of Python and NumPy you need to use the [np.dot](http://docs.scipy.org/doc/numpy/reference/generated/numpy.dot.html) function)\n", @@ -1143,7 +1143,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1c9b48f9", + "id": "8ad0a0d5", "metadata": { "hide-output": false }, @@ -1156,7 +1156,7 @@ }, { "cell_type": "markdown", - "id": "1d69bf7c", + "id": "3832e8e1", "metadata": {}, "source": [ "In fact, we can use `@` when one element is a Python list or tuple" @@ -1165,7 +1165,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1e8cc662", + "id": "e41d8d04", "metadata": { "hide-output": false }, @@ -1178,7 +1178,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e203f39d", + "id": "aada1802", "metadata": { "hide-output": false }, @@ -1189,7 +1189,7 @@ }, { "cell_type": "markdown", - "id": "7fcb56f9", + "id": "3900160f", "metadata": {}, "source": [ "Since we are post-multiplying, the tuple is treated as a column vector.\n", @@ -1200,7 +1200,7 @@ }, { "cell_type": "markdown", - "id": "565636f3", + "id": "8751f235", "metadata": {}, "source": [ "## Broadcasting\n", @@ -1235,7 +1235,7 @@ { "cell_type": "code", "execution_count": null, - "id": "524c75ed", + "id": "7cdcaee3", "metadata": { "hide-output": false }, @@ -1252,7 +1252,7 @@ }, { "cell_type": "markdown", - "id": "745ca959", + "id": "3bc31d17", "metadata": {}, "source": [ "Here is a visual representation of this broadcasting operation:" @@ -1261,7 +1261,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7415ccb8", + "id": "845b85dc", "metadata": { "hide-output": false }, @@ -1383,7 +1383,7 @@ }, { "cell_type": "markdown", - "id": "b80d7416", + "id": "3d0e5a16", "metadata": {}, "source": [ "How about `b -> (3, 1)`?\n", @@ -1396,7 +1396,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6523729f", + "id": "ae239eb6", "metadata": { "hide-output": false }, @@ -1409,7 +1409,7 @@ }, { "cell_type": "markdown", - "id": "06052b01", + "id": "a6100a87", "metadata": {}, "source": [ "Here is a visual representation of this broadcasting operation:" @@ -1418,7 +1418,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3c04be11", + "id": "f373964d", "metadata": { "hide-output": false }, @@ -1472,7 +1472,7 @@ }, { "cell_type": "markdown", - "id": "b4e6b0a9", + "id": "6a4c01c1", "metadata": {}, "source": [ "The previous broadcasting operation is equivalent to the following `for` loop" @@ -1481,7 +1481,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e5360eaf", + "id": "f6b1bfa3", "metadata": { "hide-output": false }, @@ -1498,7 +1498,7 @@ }, { "cell_type": "markdown", - "id": "693c24e6", + "id": "c7d91755", "metadata": {}, "source": [ "In some cases, both operands will be expanded.\n", @@ -1511,7 +1511,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b1313603", + "id": "592e49ba", "metadata": { "hide-output": false }, @@ -1526,7 +1526,7 @@ }, { "cell_type": "markdown", - "id": "05299e05", + "id": "49e56540", "metadata": {}, "source": [ "Here is a visual representation of this broadcasting operation:" @@ -1535,7 +1535,7 @@ { "cell_type": "code", "execution_count": null, - "id": "48531939", + "id": "f784d20d", "metadata": { "hide-output": false }, @@ -1590,7 +1590,7 @@ }, { "cell_type": "markdown", - "id": "33bb1437", + "id": "ea11c8f4", "metadata": {}, "source": [ "While broadcasting is very useful, it can sometimes seem confusing.\n", @@ -1601,7 +1601,7 @@ { "cell_type": "code", "execution_count": null, - "id": "61b8af43", + "id": "27acc3f1", "metadata": { "hide-output": false }, @@ -1618,7 +1618,7 @@ }, { "cell_type": "markdown", - "id": "badef063", + "id": "6d86a69a", "metadata": {}, "source": [ "The `ValueError` tells us that operands could not be broadcast together.\n", @@ -1629,7 +1629,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0fe73fef", + "id": "4c78ffd6", "metadata": { "hide-output": false }, @@ -1670,7 +1670,7 @@ }, { "cell_type": "markdown", - "id": "5f305240", + "id": "988892ee", "metadata": {}, "source": [ "We can see that NumPy cannot expand the arrays to the same size.\n", @@ -1697,7 +1697,7 @@ { "cell_type": "code", "execution_count": null, - "id": "eced4002", + "id": "0f782867", "metadata": { "hide-output": false }, @@ -1724,7 +1724,7 @@ { "cell_type": "code", "execution_count": null, - "id": "de043b2c", + "id": "dbf2fcc4", "metadata": { "hide-output": false }, @@ -1751,7 +1751,7 @@ }, { "cell_type": "markdown", - "id": "fe3372b1", + "id": "97950007", "metadata": {}, "source": [ "- *Step 3:* After Step 1 and 2, if the two arrays still do not match, a `ValueError` will be raised. For example, suppose `a -> (2, 2, 3)` and `b -> (2, 2)` \n", @@ -1763,7 +1763,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9d05399e", + "id": "63c59651", "metadata": { "hide-output": false }, @@ -1787,7 +1787,7 @@ }, { "cell_type": "markdown", - "id": "70fd294b", + "id": "9bf05026", "metadata": {}, "source": [ "## Mutability and Copying Arrays\n", @@ -1804,7 +1804,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4eec52d0", + "id": "31708b1a", "metadata": { "hide-output": false }, @@ -1817,7 +1817,7 @@ { "cell_type": "code", "execution_count": null, - "id": "115c664f", + "id": "b6f092bb", "metadata": { "hide-output": false }, @@ -1829,7 +1829,7 @@ }, { "cell_type": "markdown", - "id": "b196eb86", + "id": "6759011e", "metadata": {}, "source": [ "Mutability leads to the following behavior (which can be shocking to MATLAB programmers…)" @@ -1838,7 +1838,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a7c1aa18", + "id": "671b53c7", "metadata": { "hide-output": false }, @@ -1851,7 +1851,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ae5acb5c", + "id": "7d2759eb", "metadata": { "hide-output": false }, @@ -1864,7 +1864,7 @@ }, { "cell_type": "markdown", - "id": "86c0d1a4", + "id": "f014fe06", "metadata": {}, "source": [ "What’s happened is that we have changed `a` by changing `b`.\n", @@ -1883,7 +1883,7 @@ }, { "cell_type": "markdown", - "id": "d1cee0ad", + "id": "d13b28d0", "metadata": {}, "source": [ "### Making Copies\n", @@ -1896,7 +1896,7 @@ { "cell_type": "code", "execution_count": null, - "id": "dd3c199f", + "id": "b1efd108", "metadata": { "hide-output": false }, @@ -1909,7 +1909,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f0f12d65", + "id": "13bb5462", "metadata": { "hide-output": false }, @@ -1921,7 +1921,7 @@ }, { "cell_type": "markdown", - "id": "8de926b7", + "id": "783cdf03", "metadata": {}, "source": [ "Now `b` is an independent copy (called a *deep copy*)" @@ -1930,7 +1930,7 @@ { "cell_type": "code", "execution_count": null, - "id": "43e0fc9d", + "id": "bf7e88db", "metadata": { "hide-output": false }, @@ -1943,7 +1943,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f6d1124d", + "id": "4df94a54", "metadata": { "hide-output": false }, @@ -1954,7 +1954,7 @@ }, { "cell_type": "markdown", - "id": "b213c056", + "id": "b89c566c", "metadata": {}, "source": [ "Note that the change to `b` has not affected `a`." @@ -1962,7 +1962,7 @@ }, { "cell_type": "markdown", - "id": "8cc028bf", + "id": "7fa4478c", "metadata": {}, "source": [ "## Additional Functionality\n", @@ -1972,7 +1972,7 @@ }, { "cell_type": "markdown", - "id": "0085b24f", + "id": "8969ba64", "metadata": {}, "source": [ "### Vectorized Functions\n", @@ -1985,7 +1985,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bc4971fb", + "id": "4428b9ce", "metadata": { "hide-output": false }, @@ -1997,7 +1997,7 @@ }, { "cell_type": "markdown", - "id": "2a6f1587", + "id": "3f732852", "metadata": {}, "source": [ "This eliminates the need for explicit element-by-element loops such as" @@ -2006,7 +2006,7 @@ { "cell_type": "code", "execution_count": null, - "id": "137fa494", + "id": "6bb18972", "metadata": { "hide-output": false }, @@ -2020,7 +2020,7 @@ }, { "cell_type": "markdown", - "id": "eb90b882", + "id": "2378d8b7", "metadata": {}, "source": [ "Because they act element-wise on arrays, these functions are called *vectorized functions*.\n", @@ -2034,7 +2034,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0a4d81de", + "id": "2efc4e71", "metadata": { "hide-output": false }, @@ -2046,7 +2046,7 @@ { "cell_type": "code", "execution_count": null, - "id": "968f66f0", + "id": "04b17b2e", "metadata": { "hide-output": false }, @@ -2057,7 +2057,7 @@ }, { "cell_type": "markdown", - "id": "b21a0725", + "id": "0382398a", "metadata": {}, "source": [ "Not all user-defined functions will act element-wise.\n", @@ -2068,7 +2068,7 @@ { "cell_type": "code", "execution_count": null, - "id": "369f6693", + "id": "6f31a8b3", "metadata": { "hide-output": false }, @@ -2080,7 +2080,7 @@ }, { "cell_type": "markdown", - "id": "91098719", + "id": "862c7222", "metadata": {}, "source": [ "The NumPy function `np.where` provides a vectorized alternative:" @@ -2089,7 +2089,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3c7c0a19", + "id": "bdc75ab2", "metadata": { "hide-output": false }, @@ -2102,7 +2102,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f7d6b9d5", + "id": "f2893837", "metadata": { "hide-output": false }, @@ -2113,7 +2113,7 @@ }, { "cell_type": "markdown", - "id": "904cb011", + "id": "c2120e4b", "metadata": {}, "source": [ "You can also use `np.vectorize` to vectorize a given function" @@ -2122,7 +2122,7 @@ { "cell_type": "code", "execution_count": null, - "id": "42e74080", + "id": "d8a15eb5", "metadata": { "hide-output": false }, @@ -2134,7 +2134,7 @@ }, { "cell_type": "markdown", - "id": "6a8a62fd", + "id": "ca4e6252", "metadata": {}, "source": [ "However, this approach doesn’t always obtain the same speed as a more carefully crafted vectorized function." @@ -2142,7 +2142,7 @@ }, { "cell_type": "markdown", - "id": "4d8e77a1", + "id": "0e9a96a6", "metadata": {}, "source": [ "### Comparisons\n", @@ -2155,7 +2155,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8fffc3b5", + "id": "86eab86e", "metadata": { "hide-output": false }, @@ -2169,7 +2169,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6d255a81", + "id": "418d90dc", "metadata": { "hide-output": false }, @@ -2182,7 +2182,7 @@ { "cell_type": "code", "execution_count": null, - "id": "131d7a1b", + "id": "4744e136", "metadata": { "hide-output": false }, @@ -2193,7 +2193,7 @@ }, { "cell_type": "markdown", - "id": "c47bc26a", + "id": "80fc3dad", "metadata": {}, "source": [ "The situation is similar for `>`, `<`, `>=` and `<=`.\n", @@ -2204,7 +2204,7 @@ { "cell_type": "code", "execution_count": null, - "id": "89e28a07", + "id": "941e5237", "metadata": { "hide-output": false }, @@ -2217,7 +2217,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fc5f988d", + "id": "b1055a24", "metadata": { "hide-output": false }, @@ -2228,7 +2228,7 @@ }, { "cell_type": "markdown", - "id": "9fb673f3", + "id": "8c5b391d", "metadata": {}, "source": [ "This is particularly useful for *conditional extraction*" @@ -2237,7 +2237,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a9c8eafb", + "id": "d4ccf655", "metadata": { "hide-output": false }, @@ -2250,7 +2250,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7aa6af7a", + "id": "ad784b68", "metadata": { "hide-output": false }, @@ -2261,7 +2261,7 @@ }, { "cell_type": "markdown", - "id": "7c4ce2cc", + "id": "ea5ad80a", "metadata": {}, "source": [ "Of course we can—and frequently do—perform this in one step" @@ -2270,7 +2270,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bf84afc7", + "id": "febcc0aa", "metadata": { "hide-output": false }, @@ -2281,7 +2281,7 @@ }, { "cell_type": "markdown", - "id": "8ec22d21", + "id": "1f1e0131", "metadata": {}, "source": [ "### Sub-packages\n", @@ -2295,7 +2295,7 @@ { "cell_type": "code", "execution_count": null, - "id": "da965abf", + "id": "7786c0a1", "metadata": { "hide-output": false }, @@ -2308,7 +2308,7 @@ }, { "cell_type": "markdown", - "id": "53f12ba6", + "id": "0eefc589", "metadata": {}, "source": [ "Another commonly used subpackage is np.linalg" @@ -2317,7 +2317,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a44a795e", + "id": "e99ae5ff", "metadata": { "hide-output": false }, @@ -2331,7 +2331,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3850b637", + "id": "0bb01113", "metadata": { "hide-output": false }, @@ -2342,7 +2342,7 @@ }, { "cell_type": "markdown", - "id": "d78a6130", + "id": "de752805", "metadata": {}, "source": [ "\n", @@ -2356,7 +2356,7 @@ }, { "cell_type": "markdown", - "id": "5785b1eb", + "id": "e66e383e", "metadata": {}, "source": [ "## Exercises" @@ -2365,7 +2365,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a37a7e56", + "id": "d103e60d", "metadata": { "hide-output": false }, @@ -2378,7 +2378,7 @@ }, { "cell_type": "markdown", - "id": "525ab5a8", + "id": "d5a7def3", "metadata": {}, "source": [ "## Exercise 10.1\n", @@ -2402,7 +2402,7 @@ }, { "cell_type": "markdown", - "id": "c15eb6fd", + "id": "9da8afd8", "metadata": {}, "source": [ "## Solution to[ Exercise 10.1](https://python-programming.quantecon.org/#np_ex1)\n", @@ -2413,7 +2413,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bde104c0", + "id": "356375c0", "metadata": { "hide-output": false }, @@ -2428,7 +2428,7 @@ }, { "cell_type": "markdown", - "id": "7016431d", + "id": "f320c2de", "metadata": {}, "source": [ "Let’s test it" @@ -2437,7 +2437,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a2c6280c", + "id": "7da2cbc7", "metadata": { "hide-output": false }, @@ -2454,7 +2454,7 @@ }, { "cell_type": "markdown", - "id": "1fba6f19", + "id": "286baba0", "metadata": {}, "source": [ "## Exercise 10.2\n", @@ -2481,7 +2481,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d0a2ed1c", + "id": "cf56cb0b", "metadata": { "hide-output": false }, @@ -2500,7 +2500,7 @@ }, { "cell_type": "markdown", - "id": "ecdd2d90", + "id": "ef7aaaf6", "metadata": {}, "source": [ "If you can’t see how this works, try thinking through the flow for a simple example, such as `q = [0.25, 0.75]`\n", @@ -2521,7 +2521,7 @@ }, { "cell_type": "markdown", - "id": "aa22542e", + "id": "ddecd7ee", "metadata": {}, "source": [ "## Solution to[ Exercise 10.2](https://python-programming.quantecon.org/#np_ex2)\n", @@ -2532,7 +2532,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5b8894be", + "id": "c7e1745f", "metadata": { "hide-output": false }, @@ -2565,7 +2565,7 @@ }, { "cell_type": "markdown", - "id": "5216f130", + "id": "30dbada5", "metadata": {}, "source": [ "The logic is not obvious, but if you take your time and read it slowly,\n", @@ -2580,7 +2580,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5c7680ab", + "id": "79404391", "metadata": { "hide-output": false }, @@ -2593,7 +2593,7 @@ }, { "cell_type": "markdown", - "id": "84ab7d73", + "id": "1d8ae294", "metadata": {}, "source": [ "The problem is that `Q` does not change accordingly, and `Q` is the\n", @@ -2614,7 +2614,7 @@ }, { "cell_type": "markdown", - "id": "d7a7abf2", + "id": "eeec13ac", "metadata": {}, "source": [ "## Exercise 10.3\n", @@ -2629,7 +2629,7 @@ }, { "cell_type": "markdown", - "id": "93c3da21", + "id": "e44551a6", "metadata": {}, "source": [ "## Solution to[ Exercise 10.3](https://python-programming.quantecon.org/#np_ex3)\n", @@ -2644,7 +2644,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9751d214", + "id": "cc57c1bd", "metadata": { "hide-output": false }, @@ -2720,7 +2720,7 @@ }, { "cell_type": "markdown", - "id": "7debe1ea", + "id": "dd250c09", "metadata": {}, "source": [ "Here’s an example of usage" @@ -2729,7 +2729,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8203ba55", + "id": "057dccf5", "metadata": { "hide-output": false }, @@ -2743,7 +2743,7 @@ }, { "cell_type": "markdown", - "id": "00222f56", + "id": "98174254", "metadata": {}, "source": [ "## Exercise 10.4\n", @@ -2758,7 +2758,7 @@ { "cell_type": "code", "execution_count": null, - "id": "55fcce7d", + "id": "c2af9c64", "metadata": { "hide-output": false }, @@ -2772,7 +2772,7 @@ }, { "cell_type": "markdown", - "id": "ed12277a", + "id": "e6ab069e", "metadata": {}, "source": [ "Here is the output" @@ -2781,7 +2781,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3e2dc7b5", + "id": "899d6bee", "metadata": { "hide-output": false }, @@ -2792,7 +2792,7 @@ }, { "cell_type": "markdown", - "id": "a2e0263c", + "id": "29cece94", "metadata": {}, "source": [ "**Part2**: Move on to replicate the result of the following broadcasting operation. Meanwhile, compare the speeds of broadcasting and the `for` loop you implement." @@ -2801,7 +2801,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1f2da467", + "id": "58b4e5f1", "metadata": { "hide-output": false }, @@ -2820,7 +2820,7 @@ }, { "cell_type": "markdown", - "id": "a78edd69", + "id": "d793e3cd", "metadata": {}, "source": [ "Here is the output" @@ -2829,7 +2829,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bae93761", + "id": "a907ac0a", "metadata": { "hide-output": false }, @@ -2840,7 +2840,7 @@ }, { "cell_type": "markdown", - "id": "5361e690", + "id": "abd914cf", "metadata": {}, "source": [ "## Solution to[ Exercise 10.4](https://python-programming.quantecon.org/#np_ex4)\n", @@ -2851,7 +2851,7 @@ { "cell_type": "code", "execution_count": null, - "id": "23dab990", + "id": "b8c8c5c8", "metadata": { "hide-output": false }, @@ -2870,7 +2870,7 @@ }, { "cell_type": "markdown", - "id": "c7e27dda", + "id": "3b205cc1", "metadata": {}, "source": [ "Compare the results to check your answer" @@ -2879,7 +2879,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d0fa0f46", + "id": "91604b72", "metadata": { "hide-output": false }, @@ -2890,7 +2890,7 @@ }, { "cell_type": "markdown", - "id": "c0bfbfab", + "id": "37361235", "metadata": {}, "source": [ "You can also use `array_equal()` to check your answer" @@ -2899,7 +2899,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7ca25d33", + "id": "4237167c", "metadata": { "hide-output": false }, @@ -2910,7 +2910,7 @@ }, { "cell_type": "markdown", - "id": "bf342212", + "id": "b1c7ddd6", "metadata": {}, "source": [ "**Part 2 Solution**" @@ -2919,7 +2919,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bc96f236", + "id": "51252379", "metadata": { "hide-output": false }, @@ -2941,7 +2941,7 @@ }, { "cell_type": "markdown", - "id": "cb00014a", + "id": "db111186", "metadata": {}, "source": [ "Note that the `for` loop takes much longer than the broadcasting operation.\n", @@ -2952,7 +2952,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f459c1e7", + "id": "dbe0570f", "metadata": { "hide-output": false }, @@ -2964,7 +2964,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a5580547", + "id": "3a12c983", "metadata": { "hide-output": false }, @@ -2975,7 +2975,7 @@ } ], "metadata": { - "date": 1702956202.4315822, + "date": 1703113307.661963, "filename": "numpy.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/oop_intro.ipynb b/_notebooks/oop_intro.ipynb index 9e5b4ecd..b38cad9e 100644 --- a/_notebooks/oop_intro.ipynb +++ b/_notebooks/oop_intro.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "f407a341", + "id": "9c64c28e", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "4351a25b", + "id": "eea5168e", "metadata": {}, "source": [ "# OOP I: Objects and Names" @@ -24,7 +24,7 @@ }, { "cell_type": "markdown", - "id": "d4047557", + "id": "59ca6183", "metadata": {}, "source": [ "## Contents\n", @@ -39,7 +39,7 @@ }, { "cell_type": "markdown", - "id": "9380f676", + "id": "46ef6168", "metadata": {}, "source": [ "## Overview\n", @@ -65,7 +65,7 @@ }, { "cell_type": "markdown", - "id": "ecf27527", + "id": "df24a9db", "metadata": {}, "source": [ "### Python and OOP\n", @@ -81,7 +81,7 @@ }, { "cell_type": "markdown", - "id": "28742346", + "id": "4a6ca8e6", "metadata": {}, "source": [ "## Objects\n", @@ -104,7 +104,7 @@ }, { "cell_type": "markdown", - "id": "40bc6851", + "id": "220bbf00", "metadata": {}, "source": [ "### Type\n", @@ -119,7 +119,7 @@ { "cell_type": "code", "execution_count": null, - "id": "febf03fa", + "id": "7957b844", "metadata": { "hide-output": false }, @@ -132,7 +132,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e87c32c2", + "id": "d69242ac", "metadata": { "hide-output": false }, @@ -144,7 +144,7 @@ }, { "cell_type": "markdown", - "id": "0f986766", + "id": "bcfa2742", "metadata": {}, "source": [ "The type of an object matters for many expressions.\n", @@ -155,7 +155,7 @@ { "cell_type": "code", "execution_count": null, - "id": "86d73c69", + "id": "cc154c05", "metadata": { "hide-output": false }, @@ -166,7 +166,7 @@ }, { "cell_type": "markdown", - "id": "b3e59b21", + "id": "185ebbdf", "metadata": {}, "source": [ "On the other hand, between two numbers it means ordinary addition" @@ -175,7 +175,7 @@ { "cell_type": "code", "execution_count": null, - "id": "023cd579", + "id": "f78f4930", "metadata": { "hide-output": false }, @@ -186,7 +186,7 @@ }, { "cell_type": "markdown", - "id": "bab7d582", + "id": "b746aa1b", "metadata": {}, "source": [ "Consider the following expression" @@ -195,7 +195,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5fe3cd05", + "id": "0e0d3770", "metadata": { "hide-output": false }, @@ -206,7 +206,7 @@ }, { "cell_type": "markdown", - "id": "b4a89757", + "id": "81beee62", "metadata": {}, "source": [ "Here we are mixing types, and it’s unclear to Python whether the user wants to\n", @@ -229,7 +229,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3939a571", + "id": "defbd3a6", "metadata": { "hide-output": false }, @@ -240,7 +240,7 @@ }, { "cell_type": "markdown", - "id": "8ef682d2", + "id": "8ba46c22", "metadata": {}, "source": [ "\n", @@ -249,7 +249,7 @@ }, { "cell_type": "markdown", - "id": "0123f6a1", + "id": "d3bd5fd7", "metadata": {}, "source": [ "### Identity\n", @@ -264,7 +264,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5e38bd20", + "id": "f85dca47", "metadata": { "hide-output": false }, @@ -278,7 +278,7 @@ { "cell_type": "code", "execution_count": null, - "id": "aca05d1c", + "id": "04deb2c1", "metadata": { "hide-output": false }, @@ -289,7 +289,7 @@ }, { "cell_type": "markdown", - "id": "08a04606", + "id": "31bd8401", "metadata": {}, "source": [ "In this example, `y` and `z` happen to have the same value (i.e., `2.5`), but they are not the same object.\n", @@ -299,7 +299,7 @@ }, { "cell_type": "markdown", - "id": "88607b6c", + "id": "c7b1e85a", "metadata": {}, "source": [ "### Object Content: Data and Attributes\n", @@ -315,7 +315,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f5fe287b", + "id": "65711fd4", "metadata": { "hide-output": false }, @@ -328,7 +328,7 @@ { "cell_type": "code", "execution_count": null, - "id": "737cf09b", + "id": "8760a100", "metadata": { "hide-output": false }, @@ -340,7 +340,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3f8a33e6", + "id": "36a80ff6", "metadata": { "hide-output": false }, @@ -351,7 +351,7 @@ }, { "cell_type": "markdown", - "id": "0a86f480", + "id": "543dbf05", "metadata": {}, "source": [ "When Python creates this integer object, it stores with it various auxiliary information, such as the imaginary part, and the type.\n", @@ -373,7 +373,7 @@ }, { "cell_type": "markdown", - "id": "8cde7364", + "id": "2a76e26c", "metadata": {}, "source": [ "### Methods\n", @@ -388,7 +388,7 @@ { "cell_type": "code", "execution_count": null, - "id": "add7b5f3", + "id": "ed345206", "metadata": { "hide-output": false }, @@ -401,7 +401,7 @@ { "cell_type": "code", "execution_count": null, - "id": "59485376", + "id": "28d07364", "metadata": { "hide-output": false }, @@ -412,7 +412,7 @@ }, { "cell_type": "markdown", - "id": "c9e511a3", + "id": "646f96f4", "metadata": {}, "source": [ "Methods typically act on the data contained in the object they belong to, or combine that data with other data" @@ -421,7 +421,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0636d0ba", + "id": "3075289e", "metadata": { "hide-output": false }, @@ -436,7 +436,7 @@ { "cell_type": "code", "execution_count": null, - "id": "88ffda58", + "id": "628413ca", "metadata": { "hide-output": false }, @@ -448,7 +448,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2b57bf0f", + "id": "0b186f55", "metadata": { "hide-output": false }, @@ -459,7 +459,7 @@ }, { "cell_type": "markdown", - "id": "03354d88", + "id": "d396e046", "metadata": {}, "source": [ "A great deal of Python functionality is organized around method calls.\n", @@ -470,7 +470,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3ad9147d", + "id": "66b319dc", "metadata": { "hide-output": false }, @@ -483,7 +483,7 @@ }, { "cell_type": "markdown", - "id": "b6c54462", + "id": "98822e5e", "metadata": {}, "source": [ "It doesn’t look like there are any methods used here, but in fact the square bracket assignment notation is just a convenient interface to a method call.\n", @@ -494,7 +494,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ac17d9f5", + "id": "b7bf74cc", "metadata": { "hide-output": false }, @@ -507,7 +507,7 @@ }, { "cell_type": "markdown", - "id": "78c7ee27", + "id": "45bbcdba", "metadata": {}, "source": [ "(If you wanted to you could modify the `__setitem__` method, so that square bracket assignment does something totally different)\n", @@ -518,7 +518,7 @@ }, { "cell_type": "markdown", - "id": "fc09e81d", + "id": "3783ff9f", "metadata": {}, "source": [ "## Names and Name Resolution" @@ -526,7 +526,7 @@ }, { "cell_type": "markdown", - "id": "7c9faf39", + "id": "74eebffe", "metadata": {}, "source": [ "### Variable Names in Python\n", @@ -539,7 +539,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a5a01f7d", + "id": "28505381", "metadata": { "hide-output": false }, @@ -550,7 +550,7 @@ }, { "cell_type": "markdown", - "id": "c1142335", + "id": "fbe0e5cc", "metadata": {}, "source": [ "We now know that when this statement is executed, Python creates an object of\n", @@ -572,7 +572,7 @@ { "cell_type": "code", "execution_count": null, - "id": "36dfec6a", + "id": "4383e955", "metadata": { "hide-output": false }, @@ -588,7 +588,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c2da7423", + "id": "f4c55ef4", "metadata": { "hide-output": false }, @@ -599,7 +599,7 @@ }, { "cell_type": "markdown", - "id": "1de746e3", + "id": "f5bd8e9f", "metadata": {}, "source": [ "In the first step, a function object is created, and the name `f` is bound to it.\n", @@ -614,7 +614,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c7647cd3", + "id": "87fdfc14", "metadata": { "hide-output": false }, @@ -627,7 +627,7 @@ { "cell_type": "code", "execution_count": null, - "id": "910e516c", + "id": "bf913624", "metadata": { "hide-output": false }, @@ -638,7 +638,7 @@ }, { "cell_type": "markdown", - "id": "88cdafd2", + "id": "a31246c6", "metadata": {}, "source": [ "What happens here is that the first object is garbage collected.\n", @@ -652,7 +652,7 @@ }, { "cell_type": "markdown", - "id": "8d20bd38", + "id": "ac84738d", "metadata": {}, "source": [ "### Namespaces\n", @@ -665,7 +665,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d105b232", + "id": "5e9491b5", "metadata": { "hide-output": false }, @@ -676,7 +676,7 @@ }, { "cell_type": "markdown", - "id": "e1292858", + "id": "170d5050", "metadata": {}, "source": [ "binds the name `x` to the integer object on the right-hand side.\n", @@ -697,7 +697,7 @@ { "cell_type": "code", "execution_count": null, - "id": "50997f0c", + "id": "1ffcc18a", "metadata": { "hide-output": false }, @@ -709,7 +709,7 @@ }, { "cell_type": "markdown", - "id": "d8ba2fe5", + "id": "12ff6e08", "metadata": {}, "source": [ "Now we start the Python interpreter and import it" @@ -718,7 +718,7 @@ { "cell_type": "code", "execution_count": null, - "id": "431a0c3f", + "id": "699acd2d", "metadata": { "hide-output": false }, @@ -729,7 +729,7 @@ }, { "cell_type": "markdown", - "id": "c54f573a", + "id": "fd2c08ad", "metadata": {}, "source": [ "Next let’s import the `math` module from the standard library" @@ -738,7 +738,7 @@ { "cell_type": "code", "execution_count": null, - "id": "182f2a6c", + "id": "69a4f560", "metadata": { "hide-output": false }, @@ -749,7 +749,7 @@ }, { "cell_type": "markdown", - "id": "f2d7f0d6", + "id": "2ab6cfb3", "metadata": {}, "source": [ "Both of these modules have an attribute called `pi`" @@ -758,7 +758,7 @@ { "cell_type": "code", "execution_count": null, - "id": "eeca9cc9", + "id": "26be3fa3", "metadata": { "hide-output": false }, @@ -770,7 +770,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6f5bdef8", + "id": "9f5ac1bc", "metadata": { "hide-output": false }, @@ -781,7 +781,7 @@ }, { "cell_type": "markdown", - "id": "2229722c", + "id": "95f85814", "metadata": {}, "source": [ "These two different bindings of `pi` exist in different namespaces, each one implemented as a dictionary.\n", @@ -792,7 +792,7 @@ { "cell_type": "code", "execution_count": null, - "id": "96f1f320", + "id": "aecd1382", "metadata": { "hide-output": false }, @@ -806,7 +806,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4da8a150", + "id": "724faae9", "metadata": { "hide-output": false }, @@ -819,7 +819,7 @@ }, { "cell_type": "markdown", - "id": "f7477815", + "id": "c4aa1907", "metadata": {}, "source": [ "As you know, we access elements of the namespace using the dotted attribute notation" @@ -828,7 +828,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a795fbba", + "id": "0d3d9aed", "metadata": { "hide-output": false }, @@ -839,7 +839,7 @@ }, { "cell_type": "markdown", - "id": "610f76e5", + "id": "7b4440ca", "metadata": {}, "source": [ "In fact this is entirely equivalent to `math.__dict__['pi']`" @@ -848,7 +848,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b706381c", + "id": "8b439a97", "metadata": { "hide-output": false }, @@ -859,7 +859,7 @@ }, { "cell_type": "markdown", - "id": "3a413066", + "id": "2a0023dd", "metadata": {}, "source": [ "### Viewing Namespaces\n", @@ -872,7 +872,7 @@ { "cell_type": "code", "execution_count": null, - "id": "df0913bd", + "id": "d95fc8ce", "metadata": { "hide-output": false }, @@ -883,7 +883,7 @@ }, { "cell_type": "markdown", - "id": "a60a0f3f", + "id": "427a3f7a", "metadata": {}, "source": [ "If you just want to see the names, you can type" @@ -892,7 +892,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b0d9656a", + "id": "62887dfa", "metadata": { "hide-output": false }, @@ -904,7 +904,7 @@ }, { "cell_type": "markdown", - "id": "672bbce0", + "id": "0d9c0c91", "metadata": {}, "source": [ "Notice the special names `__doc__` and `__name__`.\n", @@ -918,7 +918,7 @@ { "cell_type": "code", "execution_count": null, - "id": "648a8b2a", + "id": "82c47e27", "metadata": { "hide-output": false }, @@ -930,7 +930,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bc8c1afa", + "id": "dc24942c", "metadata": { "hide-output": false }, @@ -941,7 +941,7 @@ }, { "cell_type": "markdown", - "id": "04872d97", + "id": "cff5b478", "metadata": {}, "source": [ "### Interactive Sessions\n", @@ -960,7 +960,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5efd7ef3", + "id": "c753df05", "metadata": { "hide-output": false }, @@ -971,7 +971,7 @@ }, { "cell_type": "markdown", - "id": "f14abbe8", + "id": "3bc34fc8", "metadata": {}, "source": [ "When we run a script using IPython’s `run` command, the contents of the file are executed as part of `__main__` too.\n", @@ -982,7 +982,7 @@ { "cell_type": "code", "execution_count": null, - "id": "214869ce", + "id": "e097c145", "metadata": { "hide-output": false }, @@ -994,7 +994,7 @@ }, { "cell_type": "markdown", - "id": "1b4d8395", + "id": "57f9fbe7", "metadata": {}, "source": [ "Now let’s look at two different ways of running it in IPython" @@ -1003,7 +1003,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b2e6d3bd", + "id": "0a4d376f", "metadata": { "hide-output": false }, @@ -1015,7 +1015,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d2fa83c7", + "id": "853074e9", "metadata": { "hide-output": false }, @@ -1026,7 +1026,7 @@ }, { "cell_type": "markdown", - "id": "5fac5430", + "id": "f7dc625d", "metadata": {}, "source": [ "In the second case, the code is executed as part of `__main__`, so `__name__` is equal to `__main__`.\n", @@ -1042,7 +1042,7 @@ { "cell_type": "code", "execution_count": null, - "id": "63a56ed5", + "id": "ba4361e9", "metadata": { "hide-output": false }, @@ -1058,7 +1058,7 @@ }, { "cell_type": "markdown", - "id": "8e7a18b6", + "id": "678dbd89", "metadata": {}, "source": [ "### The Global Namespace\n", @@ -1078,7 +1078,7 @@ }, { "cell_type": "markdown", - "id": "e80a7a0a", + "id": "f1a8b5bf", "metadata": { "hide-output": false }, @@ -1090,7 +1090,7 @@ }, { "cell_type": "markdown", - "id": "bc3031bc", + "id": "55a22a86", "metadata": {}, "source": [ "At this point, the interpreter creates a namespace for the module `amodule` and starts executing commands in the module.\n", @@ -1104,7 +1104,7 @@ }, { "cell_type": "markdown", - "id": "94fdf511", + "id": "aa0ab88d", "metadata": {}, "source": [ "### Local Namespaces\n", @@ -1127,7 +1127,7 @@ { "cell_type": "code", "execution_count": null, - "id": "96e8d7e3", + "id": "64352967", "metadata": { "hide-output": false }, @@ -1141,7 +1141,7 @@ }, { "cell_type": "markdown", - "id": "1f7feb70", + "id": "81ac297b", "metadata": {}, "source": [ "Now let’s call the function" @@ -1150,7 +1150,7 @@ { "cell_type": "code", "execution_count": null, - "id": "64fd27cf", + "id": "511c83a3", "metadata": { "hide-output": false }, @@ -1161,7 +1161,7 @@ }, { "cell_type": "markdown", - "id": "4ddb490c", + "id": "11b5d685", "metadata": {}, "source": [ "You can see the local namespace of `f` before it is destroyed." @@ -1169,7 +1169,7 @@ }, { "cell_type": "markdown", - "id": "a0396204", + "id": "43d2be89", "metadata": {}, "source": [ "### The `__builtins__` Namespace\n", @@ -1187,7 +1187,7 @@ { "cell_type": "code", "execution_count": null, - "id": "170fcd23", + "id": "d7f32ca7", "metadata": { "hide-output": false }, @@ -1200,7 +1200,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fca652d2", + "id": "95964246", "metadata": { "hide-output": false }, @@ -1212,7 +1212,7 @@ }, { "cell_type": "markdown", - "id": "8f6e0cc2", + "id": "80747657", "metadata": {}, "source": [ "We can access elements of the namespace as follows" @@ -1221,7 +1221,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3c57bede", + "id": "08190431", "metadata": { "hide-output": false }, @@ -1232,7 +1232,7 @@ }, { "cell_type": "markdown", - "id": "6276a3a2", + "id": "9cf2a237", "metadata": {}, "source": [ "But `__builtins__` is special, because we can always access them directly as well" @@ -1241,7 +1241,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6c188d01", + "id": "e56a0459", "metadata": { "hide-output": false }, @@ -1253,7 +1253,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9a45f090", + "id": "d5eabb1c", "metadata": { "hide-output": false }, @@ -1264,7 +1264,7 @@ }, { "cell_type": "markdown", - "id": "c68f5322", + "id": "dde392bf", "metadata": {}, "source": [ "The next section explains how this works …" @@ -1272,7 +1272,7 @@ }, { "cell_type": "markdown", - "id": "27dd8bb7", + "id": "35a4fdc6", "metadata": {}, "source": [ "### Name Resolution\n", @@ -1310,7 +1310,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cea84e72", + "id": "f3c16377", "metadata": { "hide-output": false }, @@ -1326,7 +1326,7 @@ }, { "cell_type": "markdown", - "id": "4af78c64", + "id": "f055083c", "metadata": {}, "source": [ "Here `f` is the *enclosing function* for `g`, and each function gets its\n", @@ -1358,7 +1358,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4df68348", + "id": "1850148a", "metadata": { "hide-output": false }, @@ -1377,7 +1377,7 @@ }, { "cell_type": "markdown", - "id": "ff6354e2", + "id": "9e784d73", "metadata": {}, "source": [ "What happens when we run this script?" @@ -1386,7 +1386,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6fe50227", + "id": "167a6e7a", "metadata": { "hide-output": false }, @@ -1397,7 +1397,7 @@ }, { "cell_type": "markdown", - "id": "42d51d92", + "id": "8fd0dd50", "metadata": {}, "source": [ "First,\n", @@ -1439,7 +1439,7 @@ }, { "cell_type": "markdown", - "id": "77a746b5", + "id": "4d99969b", "metadata": {}, "source": [ "### Mutable Versus Immutable Parameters\n", @@ -1452,7 +1452,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f4b787a4", + "id": "0735595c", "metadata": { "hide-output": false }, @@ -1468,7 +1468,7 @@ }, { "cell_type": "markdown", - "id": "0fa3537b", + "id": "223890cf", "metadata": {}, "source": [ "We now understand what will happen here: The code prints `2` as the value of `f(x)` and `1` as the value of `x`.\n", @@ -1487,7 +1487,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3be0ec87", + "id": "bec42e6c", "metadata": { "hide-output": false }, @@ -1503,7 +1503,7 @@ }, { "cell_type": "markdown", - "id": "735fcfd8", + "id": "db03be6e", "metadata": {}, "source": [ "This prints `[2]` as the value of `f(x)` and *same* for `x`.\n", @@ -1540,7 +1540,7 @@ { "cell_type": "code", "execution_count": null, - "id": "36da9cab", + "id": "ef1870af", "metadata": { "hide-output": false }, @@ -1558,7 +1558,7 @@ }, { "cell_type": "markdown", - "id": "d4beed5c", + "id": "14b15ddd", "metadata": {}, "source": [ "- Within `f(x)` \n", @@ -1582,7 +1582,7 @@ }, { "cell_type": "markdown", - "id": "da4af136", + "id": "63f978e8", "metadata": {}, "source": [ "## Summary\n", @@ -1612,7 +1612,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8a445dd4", + "id": "edce0971", "metadata": { "hide-output": false }, @@ -1625,7 +1625,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f0abcca9", + "id": "1e83f4f1", "metadata": { "hide-output": false }, @@ -1638,7 +1638,7 @@ { "cell_type": "code", "execution_count": null, - "id": "11204537", + "id": "7a925efb", "metadata": { "hide-output": false }, @@ -1650,7 +1650,7 @@ { "cell_type": "code", "execution_count": null, - "id": "275b9f0a", + "id": "13c846fe", "metadata": { "hide-output": false }, @@ -1662,7 +1662,7 @@ { "cell_type": "code", "execution_count": null, - "id": "59b03fc1", + "id": "8a6bc07c", "metadata": { "hide-output": false }, @@ -1673,7 +1673,7 @@ }, { "cell_type": "markdown", - "id": "e3c19ada", + "id": "2cbe8fb5", "metadata": {}, "source": [ "We can see that `f` has type, identity, attributes and so on—just like any other object.\n", @@ -1686,7 +1686,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8473e4f5", + "id": "7c7426d1", "metadata": { "hide-output": false }, @@ -1697,7 +1697,7 @@ }, { "cell_type": "markdown", - "id": "69d8656d", + "id": "d8f7da1c", "metadata": {}, "source": [ "Another is the `__dir__` method, which returns a list of attributes.\n", @@ -1708,7 +1708,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bfdff9b7", + "id": "2c7131c4", "metadata": { "hide-output": false }, @@ -1719,7 +1719,7 @@ }, { "cell_type": "markdown", - "id": "f78aa70f", + "id": "89ca15a3", "metadata": {}, "source": [ "Modules loaded into memory are also treated as objects" @@ -1728,7 +1728,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4e0bae2d", + "id": "0cc05b37", "metadata": { "hide-output": false }, @@ -1741,7 +1741,7 @@ }, { "cell_type": "markdown", - "id": "3a432586", + "id": "1369e34b", "metadata": {}, "source": [ "We can find `math` in our global namespace after the import" @@ -1750,7 +1750,7 @@ { "cell_type": "code", "execution_count": null, - "id": "96ee5005", + "id": "a15193f5", "metadata": { "hide-output": false }, @@ -1761,7 +1761,7 @@ }, { "cell_type": "markdown", - "id": "1beb90cb", + "id": "48f00736", "metadata": {}, "source": [ "We can also find all objects associated with the `math` module in the private namespace of `math`" @@ -1770,7 +1770,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cb647a50", + "id": "aff5f979", "metadata": { "hide-output": false }, @@ -1781,7 +1781,7 @@ }, { "cell_type": "markdown", - "id": "6e9cdd38", + "id": "eea65f24", "metadata": {}, "source": [ "We can also directly import objects to our current namespace using `from ... import ...`" @@ -1790,7 +1790,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7a8d0fbf", + "id": "fe55b1e8", "metadata": { "hide-output": false }, @@ -1803,7 +1803,7 @@ }, { "cell_type": "markdown", - "id": "1ac41397", + "id": "a989f8d9", "metadata": {}, "source": [ "We can find these names appear in the current namespace now.\n", @@ -1813,7 +1813,7 @@ }, { "cell_type": "markdown", - "id": "220f2692", + "id": "1650a631", "metadata": {}, "source": [ "## Exercises" @@ -1821,7 +1821,7 @@ }, { "cell_type": "markdown", - "id": "2c320f5b", + "id": "b0892692", "metadata": {}, "source": [ "## Exercise 6.1\n", @@ -1834,7 +1834,7 @@ }, { "cell_type": "markdown", - "id": "aca66ae5", + "id": "09948179", "metadata": {}, "source": [ "## Solution to[ Exercise 6.1](https://python-programming.quantecon.org/#oop_intro_ex1)\n", @@ -1849,7 +1849,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ab71f1ea", + "id": "4c8a71aa", "metadata": { "hide-output": false }, @@ -1860,7 +1860,7 @@ }, { "cell_type": "markdown", - "id": "73448585", + "id": "585573b6", "metadata": {}, "source": [ "*2.* You can use the built-in function `dir()`" @@ -1869,7 +1869,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a4a2c276", + "id": "b2702763", "metadata": { "hide-output": false }, @@ -1880,7 +1880,7 @@ }, { "cell_type": "markdown", - "id": "a82abb6f", + "id": "b940deaf", "metadata": {}, "source": [ "*3.* Since the boolean data type is a primitive type, you can also find it in the built-in namespace" @@ -1889,7 +1889,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bd867878", + "id": "43b4bcb6", "metadata": { "hide-output": false }, @@ -1900,7 +1900,7 @@ }, { "cell_type": "markdown", - "id": "6b5ab9ea", + "id": "78e9aa45", "metadata": {}, "source": [ "Next, we can use a `for` loop to filter out attributes that are callable" @@ -1909,7 +1909,7 @@ { "cell_type": "code", "execution_count": null, - "id": "865631d9", + "id": "ad4c0359", "metadata": { "hide-output": false }, @@ -1927,7 +1927,7 @@ }, { "cell_type": "markdown", - "id": "ced03f7c", + "id": "2878211c", "metadata": {}, "source": [ "Here is a one-line solution" @@ -1936,7 +1936,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c29ba1f4", + "id": "472b0251", "metadata": { "hide-output": false }, @@ -1947,7 +1947,7 @@ }, { "cell_type": "markdown", - "id": "5969d461", + "id": "144f7ccd", "metadata": {}, "source": [ "You can explore these methods and see what they are used for." @@ -1955,7 +1955,7 @@ } ], "metadata": { - "date": 1702956202.4973238, + "date": 1703113307.7284627, "filename": "oop_intro.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/pandas.ipynb b/_notebooks/pandas.ipynb index bfdf07d0..9c17e360 100644 --- a/_notebooks/pandas.ipynb +++ b/_notebooks/pandas.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "48b92bef", + "id": "c487f2e7", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "7f9a31cd", + "id": "16df6dc9", "metadata": {}, "source": [ "# Pandas\n", @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "ba084430", + "id": "2c702300", "metadata": {}, "source": [ "## Contents\n", @@ -42,7 +42,7 @@ }, { "cell_type": "markdown", - "id": "c5150e1a", + "id": "06719a94", "metadata": {}, "source": [ "In addition to what’s in Anaconda, this lecture will need the following libraries:" @@ -51,7 +51,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4aa2ebda", + "id": "ef0e19a6", "metadata": { "hide-output": false }, @@ -63,7 +63,7 @@ }, { "cell_type": "markdown", - "id": "8e60f01a", + "id": "93dcef4f", "metadata": {}, "source": [ "## Overview\n", @@ -101,7 +101,7 @@ { "cell_type": "code", "execution_count": null, - "id": "93bdbc7b", + "id": "e402a12b", "metadata": { "hide-output": false }, @@ -117,7 +117,7 @@ }, { "cell_type": "markdown", - "id": "fed9bbe9", + "id": "e2d6acd0", "metadata": {}, "source": [ "Two important data types defined by pandas are `Series` and `DataFrame`.\n", @@ -129,7 +129,7 @@ }, { "cell_type": "markdown", - "id": "667542b6", + "id": "86e8f452", "metadata": {}, "source": [ "## Series\n", @@ -144,7 +144,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5af60aec", + "id": "6ae9108e", "metadata": { "hide-output": false }, @@ -156,7 +156,7 @@ }, { "cell_type": "markdown", - "id": "cfce6b81", + "id": "41fd63b2", "metadata": {}, "source": [ "Here you can imagine the indices `0, 1, 2, 3` as indexing four listed\n", @@ -169,7 +169,7 @@ { "cell_type": "code", "execution_count": null, - "id": "000058e8", + "id": "33c367f9", "metadata": { "hide-output": false }, @@ -181,7 +181,7 @@ { "cell_type": "code", "execution_count": null, - "id": "24f46b7b", + "id": "27bb797c", "metadata": { "hide-output": false }, @@ -192,7 +192,7 @@ }, { "cell_type": "markdown", - "id": "4b5448dc", + "id": "10571c53", "metadata": {}, "source": [ "But `Series` provide more than NumPy arrays.\n", @@ -203,7 +203,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8b8951a3", + "id": "abf25e97", "metadata": { "hide-output": false }, @@ -214,7 +214,7 @@ }, { "cell_type": "markdown", - "id": "69bd67a4", + "id": "84eeaf2a", "metadata": {}, "source": [ "But their indices are more flexible" @@ -223,7 +223,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e5dbfcb9", + "id": "4a20abbb", "metadata": { "hide-output": false }, @@ -235,7 +235,7 @@ }, { "cell_type": "markdown", - "id": "3015de34", + "id": "96e310a7", "metadata": {}, "source": [ "Viewed in this way, `Series` are like fast, efficient Python dictionaries\n", @@ -248,7 +248,7 @@ { "cell_type": "code", "execution_count": null, - "id": "052b1d69", + "id": "33237744", "metadata": { "hide-output": false }, @@ -260,7 +260,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5ed11eb4", + "id": "cebf8905", "metadata": { "hide-output": false }, @@ -273,7 +273,7 @@ { "cell_type": "code", "execution_count": null, - "id": "163f12d2", + "id": "df57045e", "metadata": { "hide-output": false }, @@ -284,7 +284,7 @@ }, { "cell_type": "markdown", - "id": "5ef1473f", + "id": "0a35d96f", "metadata": {}, "source": [ "## DataFrames\n", @@ -314,7 +314,7 @@ { "cell_type": "code", "execution_count": null, - "id": "556db464", + "id": "16a4dc2c", "metadata": { "hide-output": false }, @@ -326,7 +326,7 @@ }, { "cell_type": "markdown", - "id": "7fac409f", + "id": "64dc7ca1", "metadata": {}, "source": [ "Here’s the content of `test_pwt.csv`" @@ -335,7 +335,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d8b6f0a7", + "id": "0c64169c", "metadata": { "hide-output": false }, @@ -346,7 +346,7 @@ }, { "cell_type": "markdown", - "id": "c66327e6", + "id": "8b235a51", "metadata": {}, "source": [ "### Select Data by Position\n", @@ -359,7 +359,7 @@ { "cell_type": "code", "execution_count": null, - "id": "45de2a14", + "id": "c0b522ce", "metadata": { "hide-output": false }, @@ -370,7 +370,7 @@ }, { "cell_type": "markdown", - "id": "214834fa", + "id": "0a32da71", "metadata": {}, "source": [ "To select columns, we can pass a list containing the names of the desired columns represented as strings" @@ -379,7 +379,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1dbe94c3", + "id": "97e3406c", "metadata": { "hide-output": false }, @@ -390,7 +390,7 @@ }, { "cell_type": "markdown", - "id": "13c64fcb", + "id": "cf59ca8a", "metadata": {}, "source": [ "To select both rows and columns using integers, the `iloc` attribute should be used with the format `.iloc[rows, columns]`." @@ -399,7 +399,7 @@ { "cell_type": "code", "execution_count": null, - "id": "eb39b21c", + "id": "caf8e63d", "metadata": { "hide-output": false }, @@ -410,7 +410,7 @@ }, { "cell_type": "markdown", - "id": "699b1f85", + "id": "3cf99dca", "metadata": {}, "source": [ "To select rows and columns using a mixture of integers and labels, the `loc` attribute can be used in a similar way" @@ -419,7 +419,7 @@ { "cell_type": "code", "execution_count": null, - "id": "41fde58e", + "id": "e24fa75f", "metadata": { "hide-output": false }, @@ -430,7 +430,7 @@ }, { "cell_type": "markdown", - "id": "19ac72fe", + "id": "49d3d80d", "metadata": {}, "source": [ "### Select Data by Conditions\n", @@ -445,7 +445,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d3be6267", + "id": "e4264058", "metadata": { "hide-output": false }, @@ -456,7 +456,7 @@ }, { "cell_type": "markdown", - "id": "aa32cc79", + "id": "dacb2643", "metadata": {}, "source": [ "To understand what is going on here, notice that `df.POP >= 20000` returns a series of boolean values." @@ -465,7 +465,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b2351392", + "id": "6287a5ba", "metadata": { "hide-output": false }, @@ -476,7 +476,7 @@ }, { "cell_type": "markdown", - "id": "1c8416ae", + "id": "15f689d9", "metadata": {}, "source": [ "In this case, `df[___]` takes a series of boolean values and only returns rows with the `True` values.\n", @@ -487,7 +487,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7cfdd3ee", + "id": "5ae370b6", "metadata": { "hide-output": false }, @@ -498,7 +498,7 @@ }, { "cell_type": "markdown", - "id": "30af289e", + "id": "e61d2ea8", "metadata": {}, "source": [ "However, there is another way of doing the same thing, which can be slightly faster for large dataframes, with more natural syntax." @@ -507,7 +507,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ad6a3605", + "id": "234c3396", "metadata": { "hide-output": false }, @@ -520,7 +520,7 @@ { "cell_type": "code", "execution_count": null, - "id": "03dd7fa8", + "id": "103c6f64", "metadata": { "hide-output": false }, @@ -531,7 +531,7 @@ }, { "cell_type": "markdown", - "id": "c16370c0", + "id": "95452afe", "metadata": {}, "source": [ "We can also allow arithmetic operations between different columns." @@ -540,7 +540,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0a65d17a", + "id": "e8155e32", "metadata": { "hide-output": false }, @@ -552,7 +552,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0962a5e4", + "id": "6849f7ce", "metadata": { "hide-output": false }, @@ -564,7 +564,7 @@ }, { "cell_type": "markdown", - "id": "b419a0f3", + "id": "235969ed", "metadata": {}, "source": [ "For example, we can use the conditioning to select the country with the largest household consumption - gdp share `cc`." @@ -573,7 +573,7 @@ { "cell_type": "code", "execution_count": null, - "id": "343c2d72", + "id": "e0378437", "metadata": { "hide-output": false }, @@ -584,7 +584,7 @@ }, { "cell_type": "markdown", - "id": "6847266e", + "id": "1be33a95", "metadata": {}, "source": [ "When we only want to look at certain columns of a selected sub-dataframe, we can use the above conditions with the `.loc[__ , __]` command.\n", @@ -595,7 +595,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7745bd46", + "id": "0ed8a93b", "metadata": { "hide-output": false }, @@ -606,7 +606,7 @@ }, { "cell_type": "markdown", - "id": "a0de4a41", + "id": "960d872a", "metadata": {}, "source": [ "**Application: Subsetting Dataframe**\n", @@ -623,7 +623,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9619ac8a", + "id": "1ed031ea", "metadata": { "hide-output": false }, @@ -635,7 +635,7 @@ }, { "cell_type": "markdown", - "id": "372a4e8a", + "id": "4a5e5cba", "metadata": {}, "source": [ "We can then save the smaller dataset for further analysis." @@ -643,7 +643,7 @@ }, { "cell_type": "markdown", - "id": "44b9bf4f", + "id": "4173acf0", "metadata": { "hide-output": false }, @@ -655,7 +655,7 @@ }, { "cell_type": "markdown", - "id": "bb0c93bb", + "id": "d9538f52", "metadata": {}, "source": [ "### Apply Method\n", @@ -672,7 +672,7 @@ { "cell_type": "code", "execution_count": null, - "id": "477a1f03", + "id": "be56e338", "metadata": { "hide-output": false }, @@ -683,7 +683,7 @@ }, { "cell_type": "markdown", - "id": "7a926ce5", + "id": "6f5aa54e", "metadata": {}, "source": [ "This line of code applies the `max` function to all selected columns.\n", @@ -696,7 +696,7 @@ { "cell_type": "code", "execution_count": null, - "id": "52acbe81", + "id": "cacc49a2", "metadata": { "hide-output": false }, @@ -707,7 +707,7 @@ }, { "cell_type": "markdown", - "id": "164d19f4", + "id": "36dd6e5d", "metadata": {}, "source": [ ">**Note**\n", @@ -725,7 +725,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6cc3a17a", + "id": "0f246a5e", "metadata": { "hide-output": false }, @@ -738,7 +738,7 @@ }, { "cell_type": "markdown", - "id": "3acdb5f8", + "id": "9e755bb8", "metadata": {}, "source": [ "`df.apply()` here returns a series of boolean values rows that satisfies the condition specified in the if-else statement.\n", @@ -749,7 +749,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d9c90f53", + "id": "65373200", "metadata": { "hide-output": false }, @@ -760,7 +760,7 @@ }, { "cell_type": "markdown", - "id": "69e3deaf", + "id": "6333ab5d", "metadata": {}, "source": [ "When we apply this condition to the dataframe, the result will be" @@ -769,7 +769,7 @@ { "cell_type": "code", "execution_count": null, - "id": "450b3c17", + "id": "5061ad7a", "metadata": { "hide-output": false }, @@ -780,7 +780,7 @@ }, { "cell_type": "markdown", - "id": "7989989a", + "id": "595427b1", "metadata": {}, "source": [ "### Make Changes in DataFrames\n", @@ -793,7 +793,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e8dfa50e", + "id": "cbbda553", "metadata": { "hide-output": false }, @@ -804,7 +804,7 @@ }, { "cell_type": "markdown", - "id": "febd7cbd", + "id": "bb640ddb", "metadata": {}, "source": [ "**2.** We can simply use `.loc[]` to specify the column that we want to modify, and assign values" @@ -813,7 +813,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a7a4994b", + "id": "8aa5a8bb", "metadata": { "hide-output": false }, @@ -825,7 +825,7 @@ }, { "cell_type": "markdown", - "id": "e23c5a8c", + "id": "5870e349", "metadata": {}, "source": [ "**3.** We can use the `.apply()` method to modify *rows/columns as a whole*" @@ -834,7 +834,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ae25dbdc", + "id": "e5413379", "metadata": { "hide-output": false }, @@ -853,7 +853,7 @@ }, { "cell_type": "markdown", - "id": "d9b3f99a", + "id": "cf784036", "metadata": {}, "source": [ "**4.** We can use the `.applymap()` method to modify all *individual entries* in the dataframe altogether." @@ -862,7 +862,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9cdd217c", + "id": "6cd3d338", "metadata": { "hide-output": false }, @@ -874,7 +874,7 @@ }, { "cell_type": "markdown", - "id": "dc8ab0da", + "id": "1a407a98", "metadata": {}, "source": [ "**Application: Missing Value Imputation**\n", @@ -887,7 +887,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e88f02d8", + "id": "27fbea85", "metadata": { "hide-output": false }, @@ -901,7 +901,7 @@ }, { "cell_type": "markdown", - "id": "cc81caaf", + "id": "806930e9", "metadata": {}, "source": [ "The `zip()` function here creates pairs of values from the two lists (i.e. [0,3], [3,4] …)\n", @@ -912,7 +912,7 @@ { "cell_type": "code", "execution_count": null, - "id": "31cc67f9", + "id": "731321a8", "metadata": { "hide-output": false }, @@ -930,7 +930,7 @@ }, { "cell_type": "markdown", - "id": "5684c59f", + "id": "54524108", "metadata": {}, "source": [ "Pandas also provides us with convenient methods to replace missing values.\n", @@ -941,7 +941,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9bc17e38", + "id": "b3ca0041", "metadata": { "hide-output": false }, @@ -953,7 +953,7 @@ }, { "cell_type": "markdown", - "id": "45c47099", + "id": "20a6efa9", "metadata": {}, "source": [ "Missing value imputation is a big area in data science involving various machine learning techniques.\n", @@ -963,7 +963,7 @@ }, { "cell_type": "markdown", - "id": "e5ae4bf3", + "id": "3cedc635", "metadata": {}, "source": [ "### Standardization and Visualization\n", @@ -976,7 +976,7 @@ { "cell_type": "code", "execution_count": null, - "id": "034a63ec", + "id": "d344eac6", "metadata": { "hide-output": false }, @@ -988,7 +988,7 @@ }, { "cell_type": "markdown", - "id": "93c6dd58", + "id": "db77c494", "metadata": {}, "source": [ "Here the index `0, 1,..., 7` is redundant because we can use the country names as an index.\n", @@ -999,7 +999,7 @@ { "cell_type": "code", "execution_count": null, - "id": "21c7a785", + "id": "4453263c", "metadata": { "hide-output": false }, @@ -1011,7 +1011,7 @@ }, { "cell_type": "markdown", - "id": "025d3f13", + "id": "6cc0acdd", "metadata": {}, "source": [ "Let’s give the columns slightly better names" @@ -1020,7 +1020,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1d8d510e", + "id": "7d46e7fb", "metadata": { "hide-output": false }, @@ -1032,7 +1032,7 @@ }, { "cell_type": "markdown", - "id": "0a2d9ef9", + "id": "0c80e93c", "metadata": {}, "source": [ "The `population` variable is in thousands, let’s revert to single units" @@ -1041,7 +1041,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9d0bfaf0", + "id": "df2ddc10", "metadata": { "hide-output": false }, @@ -1053,7 +1053,7 @@ }, { "cell_type": "markdown", - "id": "8646e181", + "id": "d9f97aa5", "metadata": {}, "source": [ "Next, we’re going to add a column showing real GDP per capita, multiplying by 1,000,000 as we go because total GDP is in millions" @@ -1062,7 +1062,7 @@ { "cell_type": "code", "execution_count": null, - "id": "716b8281", + "id": "04e6b421", "metadata": { "hide-output": false }, @@ -1074,7 +1074,7 @@ }, { "cell_type": "markdown", - "id": "3d7611b2", + "id": "041ce353", "metadata": {}, "source": [ "One of the nice things about pandas `DataFrame` and `Series` objects is that they have methods for plotting and visualization that work through Matplotlib.\n", @@ -1085,7 +1085,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6fb69be5", + "id": "270b6e73", "metadata": { "hide-output": false }, @@ -1099,7 +1099,7 @@ }, { "cell_type": "markdown", - "id": "df298a56", + "id": "6b8fc85b", "metadata": {}, "source": [ "At the moment the data frame is ordered alphabetically on the countries—let’s change it to GDP per capita" @@ -1108,7 +1108,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6a526c15", + "id": "e1686214", "metadata": { "hide-output": false }, @@ -1120,7 +1120,7 @@ }, { "cell_type": "markdown", - "id": "282dc9d2", + "id": "0ba0dc84", "metadata": {}, "source": [ "Plotting as before now yields" @@ -1129,7 +1129,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a99d605f", + "id": "24982133", "metadata": { "hide-output": false }, @@ -1143,7 +1143,7 @@ }, { "cell_type": "markdown", - "id": "27eb1c16", + "id": "5afcb2ae", "metadata": {}, "source": [ "## On-Line Data Sources\n", @@ -1162,7 +1162,7 @@ }, { "cell_type": "markdown", - "id": "7f31ca26", + "id": "86df165c", "metadata": { "hide-output": false }, @@ -1174,7 +1174,7 @@ }, { "cell_type": "markdown", - "id": "b8f75a95", + "id": "a3fe0846", "metadata": {}, "source": [ "(Equivalently, click here: [https://research.stlouisfed.org/fred2/series/UNRATE/downloaddata/UNRATE.csv](https://research.stlouisfed.org/fred2/series/UNRATE/downloaddata/UNRATE.csv))\n", @@ -1190,7 +1190,7 @@ }, { "cell_type": "markdown", - "id": "e76a74c2", + "id": "374c8441", "metadata": {}, "source": [ "### Accessing Data with requests\n", @@ -1205,7 +1205,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d69764d9", + "id": "cc6d874d", "metadata": { "hide-output": false }, @@ -1216,7 +1216,7 @@ }, { "cell_type": "markdown", - "id": "add1eed6", + "id": "9746e2ca", "metadata": {}, "source": [ "If there’s no error message, then the call has succeeded.\n", @@ -1239,7 +1239,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7423fc3a", + "id": "502b91cd", "metadata": { "hide-output": false }, @@ -1253,7 +1253,7 @@ { "cell_type": "code", "execution_count": null, - "id": "268ed075", + "id": "fd097236", "metadata": { "hide-output": false }, @@ -1265,7 +1265,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4db3c9a1", + "id": "c0ba608c", "metadata": { "hide-output": false }, @@ -1276,7 +1276,7 @@ }, { "cell_type": "markdown", - "id": "5a0c6a6a", + "id": "a8788a34", "metadata": {}, "source": [ "We could now write some additional code to parse this text and store it as an array.\n", @@ -1289,7 +1289,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ef108326", + "id": "919d218f", "metadata": { "hide-output": false }, @@ -1300,7 +1300,7 @@ }, { "cell_type": "markdown", - "id": "9bbf3993", + "id": "3d67f97b", "metadata": {}, "source": [ "The data has been read into a pandas DataFrame called `data` that we can now manipulate in the usual way" @@ -1309,7 +1309,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fcfa2018", + "id": "0b094615", "metadata": { "hide-output": false }, @@ -1321,7 +1321,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8c6afa1b", + "id": "a156139e", "metadata": { "hide-output": false }, @@ -1333,7 +1333,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3dc841f0", + "id": "c9922fad", "metadata": { "hide-output": false }, @@ -1345,7 +1345,7 @@ }, { "cell_type": "markdown", - "id": "214a92c5", + "id": "4bd29280", "metadata": {}, "source": [ "We can also plot the unemployment rate from 2006 to 2012 as follows" @@ -1354,7 +1354,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ddad174e", + "id": "65d1a4cb", "metadata": { "hide-output": false }, @@ -1368,7 +1368,7 @@ }, { "cell_type": "markdown", - "id": "28d66815", + "id": "7146de7e", "metadata": {}, "source": [ "Note that pandas offers many other file type alternatives.\n", @@ -1378,7 +1378,7 @@ }, { "cell_type": "markdown", - "id": "5022b66a", + "id": "eeff8433", "metadata": {}, "source": [ "### Using pandas_datareader and yfinance to Access Data\n", @@ -1412,7 +1412,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a05057f3", + "id": "c0f242a0", "metadata": { "hide-output": false }, @@ -1431,7 +1431,7 @@ }, { "cell_type": "markdown", - "id": "3ca74f24", + "id": "cea4b8ec", "metadata": {}, "source": [ "The [documentation](https://pandas-datareader.readthedocs.io/en/latest/index.html) provides more details on how to access various data sources." @@ -1439,7 +1439,7 @@ }, { "cell_type": "markdown", - "id": "9c1c1927", + "id": "2b4709c9", "metadata": {}, "source": [ "## Exercises" @@ -1447,7 +1447,7 @@ }, { "cell_type": "markdown", - "id": "d73b9b5d", + "id": "8552be37", "metadata": {}, "source": [ "## Exercise 13.1\n", @@ -1458,7 +1458,7 @@ { "cell_type": "code", "execution_count": null, - "id": "658df825", + "id": "0ad64bf2", "metadata": { "hide-output": false }, @@ -1470,7 +1470,7 @@ }, { "cell_type": "markdown", - "id": "5a143ce3", + "id": "286631d2", "metadata": {}, "source": [ "Write a program to calculate the percentage price change over 2021 for the following shares:" @@ -1479,7 +1479,7 @@ { "cell_type": "code", "execution_count": null, - "id": "30db31d7", + "id": "a0386ac1", "metadata": { "hide-output": false }, @@ -1500,7 +1500,7 @@ }, { "cell_type": "markdown", - "id": "14bf5383", + "id": "f373724f", "metadata": {}, "source": [ "Here’s the first part of the program" @@ -1509,7 +1509,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c05c2ed3", + "id": "2ebf5c84", "metadata": { "hide-output": false }, @@ -1541,7 +1541,7 @@ }, { "cell_type": "markdown", - "id": "0ddf5206", + "id": "aad85cbb", "metadata": {}, "source": [ "Complete the program to plot the result as a bar graph like this one:\n", @@ -1551,7 +1551,7 @@ }, { "cell_type": "markdown", - "id": "5d502506", + "id": "e891f9c0", "metadata": {}, "source": [ "## Solution to[ Exercise 13.1](https://python-programming.quantecon.org/#pd_ex1)\n", @@ -1565,7 +1565,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b6dedd14", + "id": "2dd71b48", "metadata": { "hide-output": false }, @@ -1579,7 +1579,7 @@ }, { "cell_type": "markdown", - "id": "fff26695", + "id": "83bcd271", "metadata": {}, "source": [ "Alternatively you can use an inbuilt method `pct_change` and configure it to\n", @@ -1589,7 +1589,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a54028cf", + "id": "5e90c53d", "metadata": { "hide-output": false }, @@ -1602,7 +1602,7 @@ }, { "cell_type": "markdown", - "id": "30e10fc9", + "id": "29b30602", "metadata": {}, "source": [ "Then to plot the chart" @@ -1611,7 +1611,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cc640a01", + "id": "6ec81d4a", "metadata": { "hide-output": false }, @@ -1628,7 +1628,7 @@ }, { "cell_type": "markdown", - "id": "88cf3d2d", + "id": "4bf9dcdc", "metadata": {}, "source": [ "## Exercise 13.2\n", @@ -1639,7 +1639,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2dbd41f3", + "id": "ff7c5fd6", "metadata": { "hide-output": false }, @@ -1653,7 +1653,7 @@ }, { "cell_type": "markdown", - "id": "84b9ca9a", + "id": "eba23935", "metadata": {}, "source": [ "Complete the program to show summary statistics and plot the result as a time series graph like this one:\n", @@ -1663,7 +1663,7 @@ }, { "cell_type": "markdown", - "id": "0bf3f297", + "id": "48c24e9d", "metadata": {}, "source": [ "## Solution to[ Exercise 13.2](https://python-programming.quantecon.org/#pd_ex2)\n", @@ -1674,7 +1674,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d184fbec", + "id": "ca17426c", "metadata": { "hide-output": false }, @@ -1689,7 +1689,7 @@ }, { "cell_type": "markdown", - "id": "c5124aa1", + "id": "9a569f31", "metadata": {}, "source": [ "Then, extract the first and last set of prices per year as DataFrames and calculate the yearly returns such as:" @@ -1698,7 +1698,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2f79542f", + "id": "4de4918e", "metadata": { "hide-output": false }, @@ -1717,7 +1717,7 @@ }, { "cell_type": "markdown", - "id": "f557fcb3", + "id": "e4f9b4d6", "metadata": {}, "source": [ "Next, you can obtain summary statistics by using the method `describe`." @@ -1726,7 +1726,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c9877cbe", + "id": "c9effc1c", "metadata": { "hide-output": false }, @@ -1737,7 +1737,7 @@ }, { "cell_type": "markdown", - "id": "bf922c86", + "id": "682233f0", "metadata": {}, "source": [ "Then, to plot the chart" @@ -1746,7 +1746,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c43cfa08", + "id": "419096e4", "metadata": { "hide-output": false }, @@ -1765,7 +1765,7 @@ }, { "cell_type": "markdown", - "id": "6f302765", + "id": "76dcdef8", "metadata": {}, "source": [ "

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      &~c`Pp0b5NrbzkT;U5c4T)RYG+lj^TSYC3&QaHW(AieYCXXWm043#Iwe7X8K?RFO zK1W>>CzHqBttXgw)Yeam*H~zIGfFuEh(@#rP=de|l(uZVPWHMnH()%#n7uSRRf#9s zTL8zH?Iep(Q7`m!@gJEfn*9TxyjaCULd04aJ8bhkk&Fk~H6BqImevJ7G)Nkg^_`lN&~p3K ze$p$dVwx|1?mb+bfDCdo@icpAIl>|N=ZrIB(;hw~ZhrNFvwM;%tA@#Zb8wA@9zEil z@4;V=LbCA`c|xJ+k{fS^atP&`KjE%p>dJZmuAQTM5p=~oun&0ZNjRJYGI9h$?JDW}UHQ^$y4|+vPuTT~(XS&7M(m#`hNE@GsVk!4VvPeQU9g#IPgM1~Zc8c2;$7k2o0A}Ecgi}{h1t)Z?QvqGUY$ToV!EnTy&yDF{QLY~I(S9wL5 zXK%qhdqKlmKyykcG#0g&cIsNAPE8Ny>Nm#Z%6?$cnB- z(*5N534L<9=AM?MH=#g^K~L}IAGRf@loF^;L#th`*DTrli=lY8pKJxPVlv$ z_2<$a1gJMo?w~czf|DSZ#i)r0PF9;(?0RXz|LLPAqPqcTar)6ocC+ znYiFpLhsqro|haV%M9gkLObwIm1+J2S!34~)odjey6o>g){^E)g(3`=BfF(fxwI02 zn>~S_K$Y^#J`Q;^*Dve`!Y^pcOjGD8FnS04G7IsBDTP-y>@h3wk=?WaCNH zCGjIlZF)`#iG8R!f$gk+P0TwqWiz=dmIT5Qph`2%d(47AdiSjT39bh==nu5b_^#~| zGY4P=yT?#2b>%}oN1mgA<~@zyrG(!0dAri^DzLU`Mn2TpO~ffK?Yb+xCXmt@-}3TQ zS$PI*KOmz(XP9J3ZsJojKB-)Zg@O0fSk5mJ7Mv`7(WCs>PP6*AniJDX>=|aUxj^A4 z$R0_T7+|&n=k#|5A!(j}IOv>CIL9ZL3bcbYdAY@UBn6|rCL@ZiDA?>}lWg7I^bGWU zdyw48Yc0ev#Q?cZiX~(VI-#>(b}-F8LAn|` z^h6w;XqMLt+C8H>!0`)#lB`~=2r8ex(e1VY{3BE-kJ6S_l^u#tU^HflEE7(_&0+Z% z(JrSp)e`p0zn;9Qz&z{9aU62=4~Hd$7L!3A_g4Ps2YZJu1$pBx`%L)&9Z655nweXa zN_O$Q?X;9iGJD{sgqm=P!1M;OO+BF4ZDvM!|%VkgGY!V?~Q2l z%w$ne055iq@@VF2xoI=ddCKHB$@tZtno^18r$1T&(AMR_q`KlF64lS$Sni5UuIO1O zUfyS#IAhb-+yo|0oUwn34lg~^!V?_X_4G#b*S;-{JKdK8Eih+^g->*JG}&2?|88I30z0mr7jJ7%NM|u@?u;texaO;jQUh81 zXUT?2o3D3<6KZr8%+!O1y&D!Gjf08KyHl->`Rq|3mXI*+j#fY!J_YrJl`HB8$Kj#i3eri)Z-=8 zW9*r-XOX7NxFx_ZJtAZp!Is@M+ja;}F%Sf@5?3 zoreNI&#*lxq%u;^Vz?pM|Wgvg6-f zU`-HSo>CW){
      R1-A2gMjqO0!IC78|AzYu0>P}JY5S%{=*o0`F2Y6+5bzqm&g%! zRj#V+5SR2iBCh{sy_cIMglg5L`=#X^{Nw_hv5{MP@B8L2M@Kv~Hm;fx(uH*~b>el* zY*jwaQv*FLSM871SBL5G%2`0mZmx*X;|>`U6aOXW=-^_{imZ;4EZNI`kuO z?vknyvG#!x3r(OdO@!q+|h=bud+2Ye&@lxb*{pvHtgq$ zjGC}>i&ld*W|-@K$6Hf^+RtN_44V~=aoq-#RBpg&)R!)c5wm5+`la;t?IS#NGPhl@U8- zdBP?nMWPD_oegp+W=IF$I(IYGtfbG;*@8d5Dm?2N0$uucI9qWfwDLXBM6t<7htAq&oyqwSE~V40IkD=$?MG zCLtaZ*Y$sHv0$|6Kl((`*VAwEmtjkkcG+pmGRiV+nd!qNubh`;xL(Xfv>e@(^R7v(zyENV34_16T19P#H8+e^rf7iHn4u(FV9O?o!+M`nyGnYA&K5pwL4nH(z67ap z`tf`H`8%A=ITGuCjZ0w81x0t4m+IeJX&Ucn-<4d{bN7+;b%}5IC4?A`d+HTl_^*Oy z$iZ9`b>P3_j5ilgJX(iwFjd5x#&sdug2y*X|9NCs7=KV6+n*g;06Y!7e2}VBCb6yS zLnJfgN4J+$RA=7miI~XB8NleBqidGWCzFa!Ub5bv_bE>@uh0D$!5;+^%qH=Y75H8( z0-aJw8^Mz*zckP4)Qc@a^u-FMT|i)T@sP{plR*@HTdO~)_;aEt9;=Vc^?db`X4KL! zVnerWwngVDh|$2|gen1R*otm{|FHFCtmo?u@MA$WQEF;cj17LZ$~qToC)x+Q^wKgM zn2-IWD~4{iCsqnP@ABvqMJKVOKLn3!6uuJ%$FRXMo3>Gm;@p|Q@#vq%vMfQ~?XpS% zs#TkA6vRY5K+`j}Xm(;rAL4fTF#Cg})vlLPKdqhV0kl9~oNbpP*+^I^@Jq35R3KM& zXFelFSEXIVx_#K0mV-Rz#yKy|tuRqFgIn_tH+1`4-)a!^U|-)aAn%bZ7L7evAQ-Av zfU>EbHjZZWuO`eTuW0ANSAK_@Q1U4|$k9N}7Hq9fpvuxV^aM&Z&n;c69kuE9g=;__ z5H;}h9GDO?&}HeYe_gT(cCjl%0AaWJjozW3u<9)Q(?;GVS-AlgxGXqUiOHFGqH_XN zq+jq}wua^NZ#o6>P9c>7;O<)y@lEcsLG0=4N+p)?i7J{cM?cw!zIqEYYC=!0Vkc~! zsPo0z4U*xR47ej#+%61c*^)0mBeLdUsV63oH3M_@D)R-vF?hTEP`s9WsL%xz z66K1ks&Y2oCPmwi$RfPSSN$GoDL2i22@193Q--QL75MoiU3!I1y2b2Xd7Tl~t!FFV zF#Z0bk(j{TEwPY)*D?+iS*AxE5fx+Mo2$gWO3{FHoTgmz-ZZlI_PfB?!oLHhtY0%1 zM^+p>?F36XKsY)N=U|pe)y;{DEb7c~Myto&xeVk~uo8#aZRC+9ycRFEQfQ{!ues!fhLtZ^QeWN(gQeI zdQ~0(#X>L_h@Bh^($pHqLWgRA>HA8wv@PaB+1Kgy#-&R-lF-{fT<`Sy&DH?p (3, 1)`?\n", @@ -1201,7 +1201,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ec67ac58", + "id": "962b91d2", "metadata": {}, "outputs": [], "source": [ @@ -1212,7 +1212,7 @@ }, { "cell_type": "markdown", - "id": "31ea8a3c", + "id": "ac920e65", "metadata": {}, "source": [ "Here is a visual representation of this broadcasting operation:" @@ -1221,7 +1221,7 @@ { "cell_type": "code", "execution_count": null, - "id": "90e4dce8", + "id": "cff693f1", "metadata": { "tags": [ "hide-input" @@ -1277,7 +1277,7 @@ }, { "cell_type": "markdown", - "id": "6bb613ef", + "id": "49b8139f", "metadata": {}, "source": [ "The previous broadcasting operation is equivalent to the following `for` loop" @@ -1286,7 +1286,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d8a09631", + "id": "8069fee0", "metadata": {}, "outputs": [], "source": [ @@ -1301,7 +1301,7 @@ }, { "cell_type": "markdown", - "id": "b0555c40", + "id": "20aeb195", "metadata": {}, "source": [ "In some cases, both operands will be expanded.\n", @@ -1314,7 +1314,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8a771fd2", + "id": "46311db3", "metadata": {}, "outputs": [], "source": [ @@ -1327,7 +1327,7 @@ }, { "cell_type": "markdown", - "id": "98524a6a", + "id": "3462f82e", "metadata": {}, "source": [ "Here is a visual representation of this broadcasting operation:" @@ -1336,7 +1336,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8b05f1cb", + "id": "237d352d", "metadata": { "tags": [ "hide-input" @@ -1393,7 +1393,7 @@ }, { "cell_type": "markdown", - "id": "e027c09c", + "id": "9542bc89", "metadata": {}, "source": [ "While broadcasting is very useful, it can sometimes seem confusing.\n", @@ -1404,7 +1404,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d769321b", + "id": "6a832228", "metadata": { "tags": [ "raises-exception" @@ -1423,7 +1423,7 @@ }, { "cell_type": "markdown", - "id": "6a6b62c5", + "id": "700e2a95", "metadata": {}, "source": [ "The `ValueError` tells us that operands could not be broadcast together.\n", @@ -1435,7 +1435,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f0934806", + "id": "1ff53679", "metadata": { "tags": [ "hide-input" @@ -1478,7 +1478,7 @@ }, { "cell_type": "markdown", - "id": "e8b74683", + "id": "46a56c61", "metadata": {}, "source": [ "We can see that NumPy cannot expand the arrays to the same size.\n", @@ -1506,7 +1506,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b9dede29", + "id": "98d37b1f", "metadata": {}, "outputs": [], "source": [ @@ -1531,7 +1531,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5bac3ef4", + "id": "50e47002", "metadata": {}, "outputs": [], "source": [ @@ -1556,7 +1556,7 @@ }, { "cell_type": "markdown", - "id": "84287881", + "id": "e03b86bc", "metadata": {}, "source": [ "* *Step 3:* After Step 1 and 2, if the two arrays still do not match, a `ValueError` will be raised. For example, suppose `a -> (2, 2, 3)` and `b -> (2, 2)`\n", @@ -1568,7 +1568,7 @@ { "cell_type": "code", "execution_count": null, - "id": "770b502c", + "id": "b63e6b32", "metadata": { "tags": [ "raises-exception" @@ -1594,7 +1594,7 @@ }, { "cell_type": "markdown", - "id": "f84aa6a6", + "id": "b5b2f810", "metadata": {}, "source": [ "## Mutability and Copying Arrays\n", @@ -1611,7 +1611,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9079b006", + "id": "126786b9", "metadata": {}, "outputs": [], "source": [ @@ -1622,7 +1622,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1dbe4ae7", + "id": "03e48397", "metadata": {}, "outputs": [], "source": [ @@ -1632,7 +1632,7 @@ }, { "cell_type": "markdown", - "id": "558eec93", + "id": "d08832c9", "metadata": {}, "source": [ "Mutability leads to the following behavior (which can be shocking to MATLAB programmers...)" @@ -1641,7 +1641,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a2ad2bbe", + "id": "cfa67c33", "metadata": {}, "outputs": [], "source": [ @@ -1652,7 +1652,7 @@ { "cell_type": "code", "execution_count": null, - "id": "171112af", + "id": "fe56eefd", "metadata": {}, "outputs": [], "source": [ @@ -1663,7 +1663,7 @@ }, { "cell_type": "markdown", - "id": "7f646501", + "id": "da6b238c", "metadata": {}, "source": [ "What's happened is that we have changed `a` by changing `b`.\n", @@ -1689,7 +1689,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c4f82fec", + "id": "b993e345", "metadata": {}, "outputs": [], "source": [ @@ -1700,7 +1700,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e46a4ee1", + "id": "22705375", "metadata": {}, "outputs": [], "source": [ @@ -1710,7 +1710,7 @@ }, { "cell_type": "markdown", - "id": "881f94ba", + "id": "08bb0db6", "metadata": {}, "source": [ "Now `b` is an independent copy (called a *deep copy*)" @@ -1719,7 +1719,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8f1d5bf6", + "id": "c3987f63", "metadata": {}, "outputs": [], "source": [ @@ -1730,7 +1730,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f3ed7158", + "id": "5c67b23b", "metadata": {}, "outputs": [], "source": [ @@ -1739,7 +1739,7 @@ }, { "cell_type": "markdown", - "id": "1d58e7db", + "id": "0f9e18ac", "metadata": {}, "source": [ "Note that the change to `b` has not affected `a`.\n", @@ -1759,7 +1759,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bcd62a51", + "id": "eb71e09e", "metadata": {}, "outputs": [], "source": [ @@ -1769,7 +1769,7 @@ }, { "cell_type": "markdown", - "id": "403a41af", + "id": "d69494f4", "metadata": {}, "source": [ "This eliminates the need for explicit element-by-element loops such as" @@ -1778,7 +1778,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4fb14f51", + "id": "743c3630", "metadata": {}, "outputs": [], "source": [ @@ -1790,7 +1790,7 @@ }, { "cell_type": "markdown", - "id": "bb3ff0e7", + "id": "5508d4a8", "metadata": {}, "source": [ "Because they act element-wise on arrays, these functions are called *vectorized functions*.\n", @@ -1804,7 +1804,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0407f9fc", + "id": "6a23fdf0", "metadata": {}, "outputs": [], "source": [ @@ -1814,7 +1814,7 @@ { "cell_type": "code", "execution_count": null, - "id": "48dc6eac", + "id": "eadc4f2d", "metadata": {}, "outputs": [], "source": [ @@ -1823,7 +1823,7 @@ }, { "cell_type": "markdown", - "id": "b8c2d13a", + "id": "29ec6f3c", "metadata": {}, "source": [ "Not all user-defined functions will act element-wise.\n", @@ -1834,7 +1834,7 @@ { "cell_type": "code", "execution_count": null, - "id": "729a7994", + "id": "c90489db", "metadata": {}, "outputs": [], "source": [ @@ -1844,7 +1844,7 @@ }, { "cell_type": "markdown", - "id": "4da414d0", + "id": "b50185fe", "metadata": {}, "source": [ "The NumPy function `np.where` provides a vectorized alternative:" @@ -1853,7 +1853,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f465bf9d", + "id": "56abdc94", "metadata": {}, "outputs": [], "source": [ @@ -1864,7 +1864,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6658d383", + "id": "a497ffe3", "metadata": {}, "outputs": [], "source": [ @@ -1873,7 +1873,7 @@ }, { "cell_type": "markdown", - "id": "87b44402", + "id": "94f711a9", "metadata": {}, "source": [ "You can also use `np.vectorize` to vectorize a given function" @@ -1882,7 +1882,7 @@ { "cell_type": "code", "execution_count": null, - "id": "65f411e2", + "id": "16f7a067", "metadata": {}, "outputs": [], "source": [ @@ -1892,7 +1892,7 @@ }, { "cell_type": "markdown", - "id": "ff72a690", + "id": "1c31e05c", "metadata": {}, "source": [ "However, this approach doesn't always obtain the same speed as a more carefully crafted vectorized function.\n", @@ -1908,7 +1908,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ce536b44", + "id": "2596d5aa", "metadata": {}, "outputs": [], "source": [ @@ -1920,7 +1920,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bed96b4d", + "id": "4288db95", "metadata": {}, "outputs": [], "source": [ @@ -1931,7 +1931,7 @@ { "cell_type": "code", "execution_count": null, - "id": "92f97b72", + "id": "d68ed475", "metadata": {}, "outputs": [], "source": [ @@ -1940,7 +1940,7 @@ }, { "cell_type": "markdown", - "id": "42ce9038", + "id": "c88e95af", "metadata": {}, "source": [ "The situation is similar for `>`, `<`, `>=` and `<=`.\n", @@ -1951,7 +1951,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ed490449", + "id": "ad61c7e5", "metadata": {}, "outputs": [], "source": [ @@ -1962,7 +1962,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ef3ec32c", + "id": "c6a01aa2", "metadata": {}, "outputs": [], "source": [ @@ -1971,7 +1971,7 @@ }, { "cell_type": "markdown", - "id": "3a020c3d", + "id": "bb6eef07", "metadata": {}, "source": [ "This is particularly useful for *conditional extraction*" @@ -1980,7 +1980,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cfbf46b1", + "id": "4d3bbdd0", "metadata": {}, "outputs": [], "source": [ @@ -1991,7 +1991,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d818506e", + "id": "d49827f0", "metadata": {}, "outputs": [], "source": [ @@ -2000,7 +2000,7 @@ }, { "cell_type": "markdown", - "id": "951bab94", + "id": "f7e726fb", "metadata": {}, "source": [ "Of course we can---and frequently do---perform this in one step" @@ -2009,7 +2009,7 @@ { "cell_type": "code", "execution_count": null, - "id": "871ce944", + "id": "8c5860f3", "metadata": {}, "outputs": [], "source": [ @@ -2018,7 +2018,7 @@ }, { "cell_type": "markdown", - "id": "7785c4e9", + "id": "d2eb3314", "metadata": {}, "source": [ "### Sub-packages\n", @@ -2032,7 +2032,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4c3ac15d", + "id": "48de553d", "metadata": {}, "outputs": [], "source": [ @@ -2043,7 +2043,7 @@ }, { "cell_type": "markdown", - "id": "9004c0f6", + "id": "49b189c9", "metadata": {}, "source": [ "Another commonly used subpackage is np.linalg" @@ -2052,7 +2052,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2d6fc543", + "id": "6f8af960", "metadata": {}, "outputs": [], "source": [ @@ -2064,7 +2064,7 @@ { "cell_type": "code", "execution_count": null, - "id": "180018fc", + "id": "7cc58a45", "metadata": {}, "outputs": [], "source": [ @@ -2073,7 +2073,7 @@ }, { "cell_type": "markdown", - "id": "82ef1c06", + "id": "b4f2fc27", "metadata": {}, "source": [ "```{index} single: SciPy\n", @@ -2094,7 +2094,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c9c97f15", + "id": "867d38ce", "metadata": {}, "outputs": [], "source": [ @@ -2105,7 +2105,7 @@ }, { "cell_type": "markdown", - "id": "6a65efb4", + "id": "7d615c3e", "metadata": {}, "source": [ "```{exercise-start}\n", @@ -2143,7 +2143,7 @@ { "cell_type": "code", "execution_count": null, - "id": "44450cd9", + "id": "831949e4", "metadata": {}, "outputs": [], "source": [ @@ -2156,7 +2156,7 @@ }, { "cell_type": "markdown", - "id": "89a53718", + "id": "9cb8da89", "metadata": {}, "source": [ "Let's test it" @@ -2165,7 +2165,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f843f410", + "id": "e2b0c40f", "metadata": {}, "outputs": [], "source": [ @@ -2180,7 +2180,7 @@ }, { "cell_type": "markdown", - "id": "a711ca9d", + "id": "5631f1a0", "metadata": {}, "source": [ "```{solution-end}\n", @@ -2212,7 +2212,7 @@ { "cell_type": "code", "execution_count": null, - "id": "52ba4533", + "id": "8bc6bc8b", "metadata": {}, "outputs": [], "source": [ @@ -2229,7 +2229,7 @@ }, { "cell_type": "markdown", - "id": "200c42b3", + "id": "1be207f6", "metadata": {}, "source": [ "If you can't see how this works, try thinking through the flow for a simple example, such as `q = [0.25, 0.75]`\n", @@ -2264,7 +2264,7 @@ { "cell_type": "code", "execution_count": null, - "id": "88e7da26", + "id": "787008f3", "metadata": {}, "outputs": [], "source": [ @@ -2295,7 +2295,7 @@ }, { "cell_type": "markdown", - "id": "18499214", + "id": "01b65c24", "metadata": {}, "source": [ "The logic is not obvious, but if you take your time and read it slowly,\n", @@ -2310,7 +2310,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e383728f", + "id": "062052e2", "metadata": {}, "outputs": [], "source": [ @@ -2321,7 +2321,7 @@ }, { "cell_type": "markdown", - "id": "acf2b27f", + "id": "1c17c501", "metadata": {}, "source": [ "The problem is that `Q` does not change accordingly, and `Q` is the\n", @@ -2368,7 +2368,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e79904a4", + "id": "5ce8625a", "metadata": {}, "outputs": [], "source": [ @@ -2442,7 +2442,7 @@ }, { "cell_type": "markdown", - "id": "a7bc0880", + "id": "ad9c82a8", "metadata": {}, "source": [ "Here's an example of usage" @@ -2451,7 +2451,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3854da09", + "id": "655d92ce", "metadata": {}, "outputs": [], "source": [ @@ -2463,7 +2463,7 @@ }, { "cell_type": "markdown", - "id": "57a65c6a", + "id": "53f13786", "metadata": {}, "source": [ "```{solution-end}\n", @@ -2484,7 +2484,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ac32300a", + "id": "a1fbf91b", "metadata": {}, "outputs": [], "source": [ @@ -2496,7 +2496,7 @@ }, { "cell_type": "markdown", - "id": "f6bb30d4", + "id": "f7dc10fc", "metadata": {}, "source": [ "Here is the output" @@ -2505,7 +2505,7 @@ { "cell_type": "code", "execution_count": null, - "id": "41dbeaaf", + "id": "f65efd9b", "metadata": { "tags": [ "hide-output" @@ -2518,7 +2518,7 @@ }, { "cell_type": "markdown", - "id": "c8406fe3", + "id": "26c09f74", "metadata": {}, "source": [ "**Part2**: Move on to replicate the result of the following broadcasting operation. Meanwhile, compare the speeds of broadcasting and the `for` loop you implement." @@ -2527,7 +2527,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ff54093d", + "id": "c775d82f", "metadata": {}, "outputs": [], "source": [ @@ -2544,7 +2544,7 @@ }, { "cell_type": "markdown", - "id": "f9fcebce", + "id": "228f664d", "metadata": {}, "source": [ "Here is the output" @@ -2553,7 +2553,7 @@ { "cell_type": "code", "execution_count": null, - "id": "24f36b85", + "id": "10970156", "metadata": { "tags": [ "hide-output" @@ -2566,7 +2566,7 @@ }, { "cell_type": "markdown", - "id": "42540a88", + "id": "2de72fbc", "metadata": {}, "source": [ "```{exercise-end}\n", @@ -2583,7 +2583,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1624e3aa", + "id": "9bd10a56", "metadata": {}, "outputs": [], "source": [ @@ -2600,7 +2600,7 @@ }, { "cell_type": "markdown", - "id": "3693efa8", + "id": "fba62643", "metadata": {}, "source": [ "Compare the results to check your answer" @@ -2609,7 +2609,7 @@ { "cell_type": "code", "execution_count": null, - "id": "60386e8b", + "id": "550d1c6e", "metadata": { "tags": [ "hide-output" @@ -2622,7 +2622,7 @@ }, { "cell_type": "markdown", - "id": "9a09fc3a", + "id": "fb310d88", "metadata": {}, "source": [ "You can also use `array_equal()` to check your answer" @@ -2631,7 +2631,7 @@ { "cell_type": "code", "execution_count": null, - "id": "109e7f62", + "id": "a9219a6c", "metadata": {}, "outputs": [], "source": [ @@ -2640,7 +2640,7 @@ }, { "cell_type": "markdown", - "id": "1df83a8f", + "id": "bd161c58", "metadata": {}, "source": [ "**Part 2 Solution**" @@ -2649,7 +2649,7 @@ { "cell_type": "code", "execution_count": null, - "id": "91a48400", + "id": "16aa58c6", "metadata": {}, "outputs": [], "source": [ @@ -2669,7 +2669,7 @@ }, { "cell_type": "markdown", - "id": "470cc5e0", + "id": "dc82d0af", "metadata": {}, "source": [ "Note that the `for` loop takes much longer than the broadcasting operation.\n", @@ -2680,7 +2680,7 @@ { "cell_type": "code", "execution_count": null, - "id": "dd501935", + "id": "a0e00cfa", "metadata": { "tags": [ "hide-output" @@ -2694,7 +2694,7 @@ { "cell_type": "code", "execution_count": null, - "id": "46cad478", + "id": "013cad8f", "metadata": {}, "outputs": [], "source": [ @@ -2703,7 +2703,7 @@ }, { "cell_type": "markdown", - "id": "ea9e1da1", + "id": "c9afb168", "metadata": {}, "source": [ "```{solution-end}\n", diff --git a/_sources/oop_intro.ipynb b/_sources/oop_intro.ipynb index a0d97b90..62e8f823 100644 --- a/_sources/oop_intro.ipynb +++ b/_sources/oop_intro.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "45307ee2", + "id": "b1f31fed", "metadata": {}, "source": [ "(oop_intro)=\n", @@ -83,7 +83,7 @@ { "cell_type": "code", "execution_count": null, - "id": "66d715b2", + "id": "5d0b10ed", "metadata": {}, "outputs": [], "source": [ @@ -94,7 +94,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6a51d824", + "id": "c74af67f", "metadata": {}, "outputs": [], "source": [ @@ -104,7 +104,7 @@ }, { "cell_type": "markdown", - "id": "2f267f8b", + "id": "7de0d954", "metadata": {}, "source": [ "The type of an object matters for many expressions.\n", @@ -115,7 +115,7 @@ { "cell_type": "code", "execution_count": null, - "id": "43d09e1d", + "id": "3f83bf70", "metadata": {}, "outputs": [], "source": [ @@ -124,7 +124,7 @@ }, { "cell_type": "markdown", - "id": "89e76f6c", + "id": "df2d87b3", "metadata": {}, "source": [ "On the other hand, between two numbers it means ordinary addition" @@ -133,7 +133,7 @@ { "cell_type": "code", "execution_count": null, - "id": "15b8bf4b", + "id": "0337e7de", "metadata": {}, "outputs": [], "source": [ @@ -142,7 +142,7 @@ }, { "cell_type": "markdown", - "id": "97bfdd71", + "id": "053f8b96", "metadata": {}, "source": [ "Consider the following expression" @@ -151,7 +151,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a7b46923", + "id": "3b08db9a", "metadata": { "tags": [ "raises-exception" @@ -164,7 +164,7 @@ }, { "cell_type": "markdown", - "id": "60fefc9d", + "id": "bd256166", "metadata": {}, "source": [ "Here we are mixing types, and it's unclear to Python whether the user wants to\n", @@ -185,7 +185,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6f084a64", + "id": "f9d1bc25", "metadata": {}, "outputs": [], "source": [ @@ -194,7 +194,7 @@ }, { "cell_type": "markdown", - "id": "b420ef62", + "id": "957162d7", "metadata": {}, "source": [ "(identity)=\n", @@ -211,7 +211,7 @@ { "cell_type": "code", "execution_count": null, - "id": "98512698", + "id": "77379735", "metadata": {}, "outputs": [], "source": [ @@ -223,7 +223,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2b9c0da1", + "id": "3642ca82", "metadata": {}, "outputs": [], "source": [ @@ -232,7 +232,7 @@ }, { "cell_type": "markdown", - "id": "70a30bcd", + "id": "28e8d755", "metadata": {}, "source": [ "In this example, `y` and `z` happen to have the same value (i.e., `2.5`), but they are not the same object.\n", @@ -253,7 +253,7 @@ { "cell_type": "code", "execution_count": null, - "id": "21c8579f", + "id": "d5622074", "metadata": {}, "outputs": [], "source": [ @@ -264,7 +264,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d1148acb", + "id": "5281fa9e", "metadata": {}, "outputs": [], "source": [ @@ -274,7 +274,7 @@ { "cell_type": "code", "execution_count": null, - "id": "39ce0fb2", + "id": "a6b1392e", "metadata": {}, "outputs": [], "source": [ @@ -283,7 +283,7 @@ }, { "cell_type": "markdown", - "id": "ecad4c9b", + "id": "2826889d", "metadata": {}, "source": [ "When Python creates this integer object, it stores with it various auxiliary information, such as the imaginary part, and the type.\n", @@ -312,7 +312,7 @@ { "cell_type": "code", "execution_count": null, - "id": "eb35be44", + "id": "ecd0dcfc", "metadata": {}, "outputs": [], "source": [ @@ -323,7 +323,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4ac775a2", + "id": "a27e1006", "metadata": {}, "outputs": [], "source": [ @@ -332,7 +332,7 @@ }, { "cell_type": "markdown", - "id": "908024b6", + "id": "b3ecea20", "metadata": {}, "source": [ "Methods typically act on the data contained in the object they belong to, or combine that data with other data" @@ -341,7 +341,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1c7c0446", + "id": "ef45bbc0", "metadata": {}, "outputs": [], "source": [ @@ -354,7 +354,7 @@ { "cell_type": "code", "execution_count": null, - "id": "088367ed", + "id": "50ec6b17", "metadata": {}, "outputs": [], "source": [ @@ -364,7 +364,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c715e5c2", + "id": "5b14df7f", "metadata": {}, "outputs": [], "source": [ @@ -373,7 +373,7 @@ }, { "cell_type": "markdown", - "id": "572df645", + "id": "b7ca95af", "metadata": {}, "source": [ "A great deal of Python functionality is organized around method calls.\n", @@ -384,7 +384,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d2590680", + "id": "0bf5f004", "metadata": {}, "outputs": [], "source": [ @@ -395,7 +395,7 @@ }, { "cell_type": "markdown", - "id": "225b0d05", + "id": "c005186a", "metadata": {}, "source": [ "It doesn't look like there are any methods used here, but in fact the square bracket assignment notation is just a convenient interface to a method call.\n", @@ -406,7 +406,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2406d4bd", + "id": "a9aecf5a", "metadata": {}, "outputs": [], "source": [ @@ -417,7 +417,7 @@ }, { "cell_type": "markdown", - "id": "2b553a8c", + "id": "45de0c06", "metadata": {}, "source": [ "(If you wanted to you could modify the `__setitem__` method, so that square bracket assignment does something totally different)\n", @@ -437,7 +437,7 @@ { "cell_type": "code", "execution_count": null, - "id": "10861362", + "id": "01133675", "metadata": {}, "outputs": [], "source": [ @@ -446,7 +446,7 @@ }, { "cell_type": "markdown", - "id": "1e36f50f", + "id": "3ab359c2", "metadata": {}, "source": [ "We now know that when this statement is executed, Python creates an object of\n", @@ -467,7 +467,7 @@ { "cell_type": "code", "execution_count": null, - "id": "247a834f", + "id": "25983d67", "metadata": {}, "outputs": [], "source": [ @@ -481,7 +481,7 @@ { "cell_type": "code", "execution_count": null, - "id": "230b4e19", + "id": "b12d2608", "metadata": {}, "outputs": [], "source": [ @@ -490,7 +490,7 @@ }, { "cell_type": "markdown", - "id": "4850eb52", + "id": "015c324e", "metadata": {}, "source": [ "In the first step, a function object is created, and the name `f` is bound to it.\n", @@ -505,7 +505,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1bfcce32", + "id": "6aac9bb6", "metadata": {}, "outputs": [], "source": [ @@ -516,7 +516,7 @@ { "cell_type": "code", "execution_count": null, - "id": "567828c9", + "id": "6f6fff75", "metadata": {}, "outputs": [], "source": [ @@ -525,7 +525,7 @@ }, { "cell_type": "markdown", - "id": "fad6be44", + "id": "c9b476b0", "metadata": {}, "source": [ "What happens here is that the first object is garbage collected.\n", @@ -547,7 +547,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4b7edfae", + "id": "fea16782", "metadata": {}, "outputs": [], "source": [ @@ -556,7 +556,7 @@ }, { "cell_type": "markdown", - "id": "e6dbecc9", + "id": "d3d12490", "metadata": {}, "source": [ "binds the name `x` to the integer object on the right-hand side.\n", @@ -577,7 +577,7 @@ { "cell_type": "code", "execution_count": null, - "id": "81e9f476", + "id": "06bde820", "metadata": {}, "outputs": [], "source": [ @@ -587,7 +587,7 @@ }, { "cell_type": "markdown", - "id": "2fb29d59", + "id": "7ff17363", "metadata": {}, "source": [ "Now we start the Python interpreter and import it" @@ -596,7 +596,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ca19d5fe", + "id": "ef91450f", "metadata": {}, "outputs": [], "source": [ @@ -605,7 +605,7 @@ }, { "cell_type": "markdown", - "id": "2785b592", + "id": "e2031746", "metadata": {}, "source": [ "Next let's import the `math` module from the standard library" @@ -614,7 +614,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2c7d7237", + "id": "d1864493", "metadata": {}, "outputs": [], "source": [ @@ -623,7 +623,7 @@ }, { "cell_type": "markdown", - "id": "b45f565f", + "id": "780e1107", "metadata": {}, "source": [ "Both of these modules have an attribute called `pi`" @@ -632,7 +632,7 @@ { "cell_type": "code", "execution_count": null, - "id": "895b9b2a", + "id": "2a4ab174", "metadata": {}, "outputs": [], "source": [ @@ -642,7 +642,7 @@ { "cell_type": "code", "execution_count": null, - "id": "baf618d8", + "id": "df183880", "metadata": {}, "outputs": [], "source": [ @@ -651,7 +651,7 @@ }, { "cell_type": "markdown", - "id": "848d8317", + "id": "5a668e4a", "metadata": {}, "source": [ "These two different bindings of `pi` exist in different namespaces, each one implemented as a dictionary.\n", @@ -662,7 +662,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9b3f29a8", + "id": "b43f560c", "metadata": {}, "outputs": [], "source": [ @@ -674,7 +674,7 @@ { "cell_type": "code", "execution_count": null, - "id": "747a3cd4", + "id": "4a0ff7de", "metadata": {}, "outputs": [], "source": [ @@ -685,7 +685,7 @@ }, { "cell_type": "markdown", - "id": "24135f81", + "id": "aa75efa6", "metadata": {}, "source": [ "As you know, we access elements of the namespace using the dotted attribute notation" @@ -694,7 +694,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5033aa3e", + "id": "6046f5af", "metadata": {}, "outputs": [], "source": [ @@ -703,7 +703,7 @@ }, { "cell_type": "markdown", - "id": "ee538c17", + "id": "666f8797", "metadata": {}, "source": [ "In fact this is entirely equivalent to `math.__dict__['pi']`" @@ -712,7 +712,7 @@ { "cell_type": "code", "execution_count": null, - "id": "983ba469", + "id": "044c29cc", "metadata": {}, "outputs": [], "source": [ @@ -721,7 +721,7 @@ }, { "cell_type": "markdown", - "id": "92ffb680", + "id": "0beee2a4", "metadata": {}, "source": [ "### Viewing Namespaces\n", @@ -734,7 +734,7 @@ { "cell_type": "code", "execution_count": null, - "id": "90e22112", + "id": "0f7c7949", "metadata": {}, "outputs": [], "source": [ @@ -743,7 +743,7 @@ }, { "cell_type": "markdown", - "id": "855d9c69", + "id": "d3306017", "metadata": {}, "source": [ "If you just want to see the names, you can type" @@ -752,7 +752,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d9e43966", + "id": "306f1b3c", "metadata": {}, "outputs": [], "source": [ @@ -762,7 +762,7 @@ }, { "cell_type": "markdown", - "id": "498ebe59", + "id": "6f69ca01", "metadata": {}, "source": [ "Notice the special names `__doc__` and `__name__`.\n", @@ -776,7 +776,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9c6138f8", + "id": "674b338b", "metadata": {}, "outputs": [], "source": [ @@ -786,7 +786,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2b4b0e19", + "id": "e7a4f47b", "metadata": {}, "outputs": [], "source": [ @@ -795,7 +795,7 @@ }, { "cell_type": "markdown", - "id": "4cd43034", + "id": "7fcf5ab3", "metadata": {}, "source": [ "### Interactive Sessions\n", @@ -815,7 +815,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fc4b4541", + "id": "0bf6f4a7", "metadata": {}, "outputs": [], "source": [ @@ -824,7 +824,7 @@ }, { "cell_type": "markdown", - "id": "1497d29e", + "id": "eb6dcde9", "metadata": {}, "source": [ "When we run a script using IPython's `run` command, the contents of the file are executed as part of `__main__` too.\n", @@ -835,7 +835,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7b8d9c47", + "id": "7343be6e", "metadata": {}, "outputs": [], "source": [ @@ -845,7 +845,7 @@ }, { "cell_type": "markdown", - "id": "370062f6", + "id": "ed9ff402", "metadata": {}, "source": [ "Now let's look at two different ways of running it in IPython" @@ -854,7 +854,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e585329f", + "id": "d6672cd6", "metadata": {}, "outputs": [], "source": [ @@ -864,7 +864,7 @@ { "cell_type": "code", "execution_count": null, - "id": "95069a68", + "id": "2c016036", "metadata": {}, "outputs": [], "source": [ @@ -873,7 +873,7 @@ }, { "cell_type": "markdown", - "id": "0a23329b", + "id": "66746a7d", "metadata": {}, "source": [ "In the second case, the code is executed as part of `__main__`, so `__name__` is equal to `__main__`.\n", @@ -889,7 +889,7 @@ { "cell_type": "code", "execution_count": null, - "id": "38fdc7f9", + "id": "46f570ab", "metadata": {}, "outputs": [], "source": [ @@ -903,7 +903,7 @@ }, { "cell_type": "markdown", - "id": "669d9ee8", + "id": "9670a912", "metadata": {}, "source": [ "### The Global Namespace\n", @@ -956,7 +956,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b52106f4", + "id": "a15c5f8e", "metadata": {}, "outputs": [], "source": [ @@ -968,7 +968,7 @@ }, { "cell_type": "markdown", - "id": "48ed9905", + "id": "b30cb175", "metadata": {}, "source": [ "Now let's call the function" @@ -977,7 +977,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5d4167fb", + "id": "3dbabe63", "metadata": {}, "outputs": [], "source": [ @@ -986,7 +986,7 @@ }, { "cell_type": "markdown", - "id": "73ebabf4", + "id": "f74eb963", "metadata": {}, "source": [ "You can see the local namespace of `f` before it is destroyed.\n", @@ -1007,7 +1007,7 @@ { "cell_type": "code", "execution_count": null, - "id": "019274e2", + "id": "802da190", "metadata": {}, "outputs": [], "source": [ @@ -1018,7 +1018,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a1b512e5", + "id": "49e8a34e", "metadata": {}, "outputs": [], "source": [ @@ -1028,7 +1028,7 @@ }, { "cell_type": "markdown", - "id": "2971353c", + "id": "f7213f88", "metadata": {}, "source": [ "We can access elements of the namespace as follows" @@ -1037,7 +1037,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6d5976ec", + "id": "9aefa61b", "metadata": {}, "outputs": [], "source": [ @@ -1046,7 +1046,7 @@ }, { "cell_type": "markdown", - "id": "e22268f0", + "id": "f2176854", "metadata": {}, "source": [ "But `__builtins__` is special, because we can always access them directly as well" @@ -1055,7 +1055,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1fd9b629", + "id": "b02e4567", "metadata": {}, "outputs": [], "source": [ @@ -1065,7 +1065,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3984fccb", + "id": "32108ef2", "metadata": {}, "outputs": [], "source": [ @@ -1074,7 +1074,7 @@ }, { "cell_type": "markdown", - "id": "8e8a9502", + "id": "07a3bc98", "metadata": {}, "source": [ "The next section explains how this works ...\n", @@ -1114,7 +1114,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d07bcb38", + "id": "e15927b2", "metadata": {}, "outputs": [], "source": [ @@ -1128,7 +1128,7 @@ }, { "cell_type": "markdown", - "id": "f1743dfd", + "id": "d7af321b", "metadata": {}, "source": [ "Here `f` is the *enclosing function* for `g`, and each function gets its\n", @@ -1159,7 +1159,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c152d292", + "id": "a0f6b60a", "metadata": {}, "outputs": [], "source": [ @@ -1176,7 +1176,7 @@ }, { "cell_type": "markdown", - "id": "005a580c", + "id": "6a27caf6", "metadata": {}, "source": [ "What happens when we run this script?" @@ -1185,7 +1185,7 @@ { "cell_type": "code", "execution_count": null, - "id": "aa45d7f8", + "id": "269fbcf5", "metadata": {}, "outputs": [], "source": [ @@ -1194,7 +1194,7 @@ }, { "cell_type": "markdown", - "id": "d32280c9", + "id": "54ec5f3b", "metadata": {}, "source": [ "First,\n", @@ -1246,7 +1246,7 @@ { "cell_type": "code", "execution_count": null, - "id": "08e438ee", + "id": "29efc327", "metadata": {}, "outputs": [], "source": [ @@ -1260,7 +1260,7 @@ }, { "cell_type": "markdown", - "id": "e809f45d", + "id": "fcbf7146", "metadata": {}, "source": [ "We now understand what will happen here: The code prints `2` as the value of `f(x)` and `1` as the value of `x`.\n", @@ -1279,7 +1279,7 @@ { "cell_type": "code", "execution_count": null, - "id": "27c48f79", + "id": "c9202f5e", "metadata": {}, "outputs": [], "source": [ @@ -1293,7 +1293,7 @@ }, { "cell_type": "markdown", - "id": "0b3b32a5", + "id": "9748e851", "metadata": {}, "source": [ "This prints `[2]` as the value of `f(x)` and *same* for `x`.\n", @@ -1330,7 +1330,7 @@ { "cell_type": "code", "execution_count": null, - "id": "98270fdc", + "id": "b17801f3", "metadata": {}, "outputs": [], "source": [ @@ -1346,7 +1346,7 @@ }, { "cell_type": "markdown", - "id": "534faf05", + "id": "a55d7f4d", "metadata": {}, "source": [ "* Within `f(x)`\n", @@ -1392,7 +1392,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2ad44c9c", + "id": "fbfb8ea8", "metadata": {}, "outputs": [], "source": [ @@ -1403,7 +1403,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2126cadc", + "id": "e9f6e74f", "metadata": {}, "outputs": [], "source": [ @@ -1414,7 +1414,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5a257e50", + "id": "4c987bf2", "metadata": {}, "outputs": [], "source": [ @@ -1424,7 +1424,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bd0976ac", + "id": "6f49abab", "metadata": {}, "outputs": [], "source": [ @@ -1434,7 +1434,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3b7b48d3", + "id": "f4fba904", "metadata": {}, "outputs": [], "source": [ @@ -1443,7 +1443,7 @@ }, { "cell_type": "markdown", - "id": "aea1f97c", + "id": "01d77e93", "metadata": {}, "source": [ "We can see that `f` has type, identity, attributes and so on---just like any other object.\n", @@ -1456,7 +1456,7 @@ { "cell_type": "code", "execution_count": null, - "id": "56316d45", + "id": "17a6c753", "metadata": {}, "outputs": [], "source": [ @@ -1465,7 +1465,7 @@ }, { "cell_type": "markdown", - "id": "84a47e70", + "id": "f2674eec", "metadata": {}, "source": [ "Another is the `__dir__` method, which returns a list of attributes.\n", @@ -1476,7 +1476,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5984d2a4", + "id": "b0147147", "metadata": {}, "outputs": [], "source": [ @@ -1485,7 +1485,7 @@ }, { "cell_type": "markdown", - "id": "3913d89a", + "id": "f2fde0cd", "metadata": {}, "source": [ "Modules loaded into memory are also treated as objects" @@ -1494,7 +1494,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d6014afa", + "id": "861c13ee", "metadata": {}, "outputs": [], "source": [ @@ -1505,7 +1505,7 @@ }, { "cell_type": "markdown", - "id": "23b43369", + "id": "9938d13b", "metadata": {}, "source": [ "We can find `math` in our global namespace after the import" @@ -1514,7 +1514,7 @@ { "cell_type": "code", "execution_count": null, - "id": "06db0a99", + "id": "8a43a1bc", "metadata": {}, "outputs": [], "source": [ @@ -1523,7 +1523,7 @@ }, { "cell_type": "markdown", - "id": "f24144a9", + "id": "c2ae9e9c", "metadata": {}, "source": [ "We can also find all objects associated with the `math` module in the private namespace of `math`" @@ -1532,7 +1532,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b7c67c76", + "id": "5c8b3598", "metadata": {}, "outputs": [], "source": [ @@ -1541,7 +1541,7 @@ }, { "cell_type": "markdown", - "id": "b3181abd", + "id": "29501aa5", "metadata": {}, "source": [ "We can also directly import objects to our current namespace using `from ... import ...`" @@ -1550,7 +1550,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7a1a0a29", + "id": "67db8408", "metadata": {}, "outputs": [], "source": [ @@ -1561,7 +1561,7 @@ }, { "cell_type": "markdown", - "id": "70b3ae90", + "id": "4fd92f44", "metadata": {}, "source": [ "We can find these names appear in the current namespace now.\n", @@ -1600,7 +1600,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7f7b2ca5", + "id": "cbd4881b", "metadata": {}, "outputs": [], "source": [ @@ -1609,7 +1609,7 @@ }, { "cell_type": "markdown", - "id": "8a2a0fe4", + "id": "16cbd23d", "metadata": {}, "source": [ "*2.* You can use the built-in function `dir()`" @@ -1618,7 +1618,7 @@ { "cell_type": "code", "execution_count": null, - "id": "efd16f83", + "id": "438ffedc", "metadata": {}, "outputs": [], "source": [ @@ -1627,7 +1627,7 @@ }, { "cell_type": "markdown", - "id": "be074815", + "id": "e2c6ec10", "metadata": {}, "source": [ "*3.* Since the boolean data type is a primitive type, you can also find it in the built-in namespace" @@ -1636,7 +1636,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d5c12445", + "id": "e1a5c08b", "metadata": {}, "outputs": [], "source": [ @@ -1645,7 +1645,7 @@ }, { "cell_type": "markdown", - "id": "bd224b05", + "id": "9dc6eca2", "metadata": {}, "source": [ "Next, we can use a `for` loop to filter out attributes that are callable" @@ -1654,7 +1654,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c40a3837", + "id": "64b76ccb", "metadata": {}, "outputs": [], "source": [ @@ -1670,7 +1670,7 @@ }, { "cell_type": "markdown", - "id": "e315a884", + "id": "b4ec81a6", "metadata": {}, "source": [ "Here is a one-line solution" @@ -1679,7 +1679,7 @@ { "cell_type": "code", "execution_count": null, - "id": "85e6ba14", + "id": "4853bf56", "metadata": {}, "outputs": [], "source": [ @@ -1688,7 +1688,7 @@ }, { "cell_type": "markdown", - "id": "d486e0f5", + "id": "631a4cfc", "metadata": {}, "source": [ "You can explore these methods and see what they are used for.\n", diff --git a/_sources/pandas.ipynb b/_sources/pandas.ipynb index 9e0bd92e..b0c03b85 100644 --- a/_sources/pandas.ipynb +++ b/_sources/pandas.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "8053ca01", + "id": "4bc13d45", "metadata": {}, "source": [ "(pd)=\n", @@ -29,7 +29,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c9c9ca8c", + "id": "ccfda9a1", "metadata": { "tags": [ "hide-output" @@ -43,7 +43,7 @@ }, { "cell_type": "markdown", - "id": "7163c177", + "id": "8f700993", "metadata": {}, "source": [ "## Overview\n", @@ -81,7 +81,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5efe71e6", + "id": "b2eb511a", "metadata": {}, "outputs": [], "source": [ @@ -95,7 +95,7 @@ }, { "cell_type": "markdown", - "id": "484e50b2", + "id": "ccfbebb1", "metadata": {}, "source": [ "Two important data types defined by pandas are `Series` and `DataFrame`.\n", @@ -118,7 +118,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6b931781", + "id": "c335fad2", "metadata": {}, "outputs": [], "source": [ @@ -128,7 +128,7 @@ }, { "cell_type": "markdown", - "id": "a6d2d076", + "id": "b5f2e1fd", "metadata": {}, "source": [ "Here you can imagine the indices `0, 1, 2, 3` as indexing four listed\n", @@ -141,7 +141,7 @@ { "cell_type": "code", "execution_count": null, - "id": "082513e0", + "id": "ba5e665c", "metadata": {}, "outputs": [], "source": [ @@ -151,7 +151,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3e17d721", + "id": "8c5a6f0c", "metadata": {}, "outputs": [], "source": [ @@ -160,7 +160,7 @@ }, { "cell_type": "markdown", - "id": "9b5315c2", + "id": "3c0f6954", "metadata": {}, "source": [ "But `Series` provide more than NumPy arrays.\n", @@ -171,7 +171,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1230f5b1", + "id": "82fc5d7a", "metadata": {}, "outputs": [], "source": [ @@ -180,7 +180,7 @@ }, { "cell_type": "markdown", - "id": "dc1a182d", + "id": "ac0cef8c", "metadata": {}, "source": [ "But their indices are more flexible" @@ -189,7 +189,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3fe50d76", + "id": "34a5ad35", "metadata": {}, "outputs": [], "source": [ @@ -199,7 +199,7 @@ }, { "cell_type": "markdown", - "id": "fa21116c", + "id": "1f820660", "metadata": {}, "source": [ "Viewed in this way, `Series` are like fast, efficient Python dictionaries\n", @@ -212,7 +212,7 @@ { "cell_type": "code", "execution_count": null, - "id": "14d03af0", + "id": "4b52e14b", "metadata": {}, "outputs": [], "source": [ @@ -222,7 +222,7 @@ { "cell_type": "code", "execution_count": null, - "id": "17736707", + "id": "a80cd6e2", "metadata": {}, "outputs": [], "source": [ @@ -233,7 +233,7 @@ { "cell_type": "code", "execution_count": null, - "id": "27e38ef7", + "id": "84779ec1", "metadata": {}, "outputs": [], "source": [ @@ -242,7 +242,7 @@ }, { "cell_type": "markdown", - "id": "16076420", + "id": "4b41558e", "metadata": {}, "source": [ "## DataFrames\n", @@ -275,7 +275,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ced8d759", + "id": "77b9fc3e", "metadata": {}, "outputs": [], "source": [ @@ -285,7 +285,7 @@ }, { "cell_type": "markdown", - "id": "caef553a", + "id": "156a7b31", "metadata": {}, "source": [ "Here's the content of `test_pwt.csv`" @@ -294,7 +294,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d0b99b39", + "id": "9373dbb5", "metadata": {}, "outputs": [], "source": [ @@ -303,7 +303,7 @@ }, { "cell_type": "markdown", - "id": "9430caf6", + "id": "d71f9ce6", "metadata": {}, "source": [ "### Select Data by Position\n", @@ -316,7 +316,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4bcbe1a5", + "id": "cfc902f0", "metadata": {}, "outputs": [], "source": [ @@ -325,7 +325,7 @@ }, { "cell_type": "markdown", - "id": "afff730a", + "id": "e49db354", "metadata": {}, "source": [ "To select columns, we can pass a list containing the names of the desired columns represented as strings" @@ -334,7 +334,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d191cf10", + "id": "bd175b9b", "metadata": {}, "outputs": [], "source": [ @@ -343,7 +343,7 @@ }, { "cell_type": "markdown", - "id": "4a268209", + "id": "8c82bc57", "metadata": {}, "source": [ "To select both rows and columns using integers, the `iloc` attribute should be used with the format `.iloc[rows, columns]`." @@ -352,7 +352,7 @@ { "cell_type": "code", "execution_count": null, - "id": "22d4c31e", + "id": "ae2238c1", "metadata": {}, "outputs": [], "source": [ @@ -361,7 +361,7 @@ }, { "cell_type": "markdown", - "id": "ae723353", + "id": "05023dec", "metadata": {}, "source": [ "To select rows and columns using a mixture of integers and labels, the `loc` attribute can be used in a similar way" @@ -370,7 +370,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7b0c99e1", + "id": "ec03925f", "metadata": {}, "outputs": [], "source": [ @@ -379,7 +379,7 @@ }, { "cell_type": "markdown", - "id": "78b0c6d1", + "id": "6419125d", "metadata": {}, "source": [ "### Select Data by Conditions\n", @@ -394,7 +394,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a3eca4aa", + "id": "27ec0bee", "metadata": {}, "outputs": [], "source": [ @@ -403,7 +403,7 @@ }, { "cell_type": "markdown", - "id": "9e3ba6a0", + "id": "941d6fdd", "metadata": {}, "source": [ "To understand what is going on here, notice that `df.POP >= 20000` returns a series of boolean values." @@ -412,7 +412,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f3aea33a", + "id": "1a1ba745", "metadata": {}, "outputs": [], "source": [ @@ -421,7 +421,7 @@ }, { "cell_type": "markdown", - "id": "7b9cf6de", + "id": "225d5ff6", "metadata": {}, "source": [ "In this case, `df[___]` takes a series of boolean values and only returns rows with the `True` values.\n", @@ -432,7 +432,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bd4a0c26", + "id": "98f8f1ba", "metadata": {}, "outputs": [], "source": [ @@ -441,7 +441,7 @@ }, { "cell_type": "markdown", - "id": "a3626be6", + "id": "d4495f82", "metadata": {}, "source": [ "However, there is another way of doing the same thing, which can be slightly faster for large dataframes, with more natural syntax." @@ -450,7 +450,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e6a2f0c7", + "id": "6e979098", "metadata": {}, "outputs": [], "source": [ @@ -461,7 +461,7 @@ { "cell_type": "code", "execution_count": null, - "id": "da76272c", + "id": "7723577d", "metadata": {}, "outputs": [], "source": [ @@ -470,7 +470,7 @@ }, { "cell_type": "markdown", - "id": "4221842d", + "id": "caa036dd", "metadata": {}, "source": [ "We can also allow arithmetic operations between different columns." @@ -479,7 +479,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ed997d96", + "id": "9d07ca3a", "metadata": {}, "outputs": [], "source": [ @@ -489,7 +489,7 @@ { "cell_type": "code", "execution_count": null, - "id": "856886ec", + "id": "566af038", "metadata": {}, "outputs": [], "source": [ @@ -499,7 +499,7 @@ }, { "cell_type": "markdown", - "id": "d5837c2d", + "id": "c3baa186", "metadata": {}, "source": [ "For example, we can use the conditioning to select the country with the largest household consumption - gdp share `cc`." @@ -508,7 +508,7 @@ { "cell_type": "code", "execution_count": null, - "id": "81bf26fa", + "id": "1dd06597", "metadata": {}, "outputs": [], "source": [ @@ -517,7 +517,7 @@ }, { "cell_type": "markdown", - "id": "c721d849", + "id": "d082f867", "metadata": {}, "source": [ "When we only want to look at certain columns of a selected sub-dataframe, we can use the above conditions with the `.loc[__ , __]` command.\n", @@ -528,7 +528,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7bd1260f", + "id": "e9978173", "metadata": {}, "outputs": [], "source": [ @@ -537,7 +537,7 @@ }, { "cell_type": "markdown", - "id": "f696b20f", + "id": "72ead97b", "metadata": {}, "source": [ "**Application: Subsetting Dataframe**\n", @@ -554,7 +554,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2161a5e4", + "id": "010da824", "metadata": {}, "outputs": [], "source": [ @@ -564,7 +564,7 @@ }, { "cell_type": "markdown", - "id": "86aec42c", + "id": "c42680b0", "metadata": {}, "source": [ "We can then save the smaller dataset for further analysis.\n", @@ -589,7 +589,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2bfa0af5", + "id": "e9f32e2a", "metadata": {}, "outputs": [], "source": [ @@ -598,7 +598,7 @@ }, { "cell_type": "markdown", - "id": "12838af7", + "id": "3d92326e", "metadata": {}, "source": [ "This line of code applies the `max` function to all selected columns.\n", @@ -611,7 +611,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6c88c523", + "id": "8d8ed98d", "metadata": {}, "outputs": [], "source": [ @@ -620,7 +620,7 @@ }, { "cell_type": "markdown", - "id": "cbb9256b", + "id": "d3edd88e", "metadata": {}, "source": [ "```{note}\n", @@ -636,7 +636,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f943c5c4", + "id": "c27535c6", "metadata": {}, "outputs": [], "source": [ @@ -647,7 +647,7 @@ }, { "cell_type": "markdown", - "id": "1e846a98", + "id": "4cb2f641", "metadata": {}, "source": [ "`df.apply()` here returns a series of boolean values rows that satisfies the condition specified in the if-else statement.\n", @@ -658,7 +658,7 @@ { "cell_type": "code", "execution_count": null, - "id": "19eee15b", + "id": "f803562e", "metadata": {}, "outputs": [], "source": [ @@ -667,7 +667,7 @@ }, { "cell_type": "markdown", - "id": "22c240a0", + "id": "f1236f18", "metadata": {}, "source": [ "When we apply this condition to the dataframe, the result will be" @@ -676,7 +676,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2feaa029", + "id": "a268c984", "metadata": {}, "outputs": [], "source": [ @@ -685,7 +685,7 @@ }, { "cell_type": "markdown", - "id": "28a27072", + "id": "a38081f8", "metadata": {}, "source": [ "### Make Changes in DataFrames\n", @@ -699,7 +699,7 @@ { "cell_type": "code", "execution_count": null, - "id": "11a8f12d", + "id": "de40b395", "metadata": {}, "outputs": [], "source": [ @@ -708,7 +708,7 @@ }, { "cell_type": "markdown", - "id": "cf679e6b", + "id": "e04ab3fd", "metadata": {}, "source": [ "**2.** We can simply use `.loc[]` to specify the column that we want to modify, and assign values" @@ -717,7 +717,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ac0be298", + "id": "092b166c", "metadata": {}, "outputs": [], "source": [ @@ -727,7 +727,7 @@ }, { "cell_type": "markdown", - "id": "0dd2bdec", + "id": "d284f7b6", "metadata": {}, "source": [ "**3.** We can use the `.apply()` method to modify *rows/columns as a whole*" @@ -736,7 +736,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4d1d6f88", + "id": "05e41dd8", "metadata": {}, "outputs": [], "source": [ @@ -753,7 +753,7 @@ }, { "cell_type": "markdown", - "id": "2588269e", + "id": "e49c8d23", "metadata": {}, "source": [ "**4.** We can use the `.applymap()` method to modify all *individual entries* in the dataframe altogether." @@ -762,7 +762,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bb21aa46", + "id": "c2c82471", "metadata": {}, "outputs": [], "source": [ @@ -772,7 +772,7 @@ }, { "cell_type": "markdown", - "id": "3e20b699", + "id": "0ed5ebd8", "metadata": {}, "source": [ "**Application: Missing Value Imputation**\n", @@ -785,7 +785,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b361e941", + "id": "d2d24fc3", "metadata": {}, "outputs": [], "source": [ @@ -797,7 +797,7 @@ }, { "cell_type": "markdown", - "id": "33580517", + "id": "9814be29", "metadata": {}, "source": [ "The `zip()` function here creates pairs of values from the two lists (i.e. [0,3], [3,4] ...)\n", @@ -808,7 +808,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1a480b07", + "id": "a8d3376c", "metadata": {}, "outputs": [], "source": [ @@ -824,7 +824,7 @@ }, { "cell_type": "markdown", - "id": "3d5edc91", + "id": "ae2a7dd0", "metadata": {}, "source": [ "Pandas also provides us with convenient methods to replace missing values.\n", @@ -835,7 +835,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8fff3aa4", + "id": "6ab1a5d4", "metadata": {}, "outputs": [], "source": [ @@ -845,7 +845,7 @@ }, { "cell_type": "markdown", - "id": "944df293", + "id": "1115ed53", "metadata": {}, "source": [ "Missing value imputation is a big area in data science involving various machine learning techniques.\n", @@ -862,7 +862,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a91b5f5e", + "id": "bfc8d940", "metadata": {}, "outputs": [], "source": [ @@ -872,7 +872,7 @@ }, { "cell_type": "markdown", - "id": "359ee10d", + "id": "913df4fb", "metadata": {}, "source": [ "Here the index `0, 1,..., 7` is redundant because we can use the country names as an index.\n", @@ -883,7 +883,7 @@ { "cell_type": "code", "execution_count": null, - "id": "38ddc15f", + "id": "ad2122d9", "metadata": {}, "outputs": [], "source": [ @@ -893,7 +893,7 @@ }, { "cell_type": "markdown", - "id": "1032cddf", + "id": "2406e6d4", "metadata": {}, "source": [ "Let's give the columns slightly better names" @@ -902,7 +902,7 @@ { "cell_type": "code", "execution_count": null, - "id": "814344fb", + "id": "33b97b7c", "metadata": {}, "outputs": [], "source": [ @@ -912,7 +912,7 @@ }, { "cell_type": "markdown", - "id": "8b098ad5", + "id": "e6413106", "metadata": {}, "source": [ "The `population` variable is in thousands, let's revert to single units" @@ -921,7 +921,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2e9d2f0f", + "id": "a61bbbc0", "metadata": {}, "outputs": [], "source": [ @@ -931,7 +931,7 @@ }, { "cell_type": "markdown", - "id": "0cba9651", + "id": "1ece67aa", "metadata": {}, "source": [ "Next, we're going to add a column showing real GDP per capita, multiplying by 1,000,000 as we go because total GDP is in millions" @@ -940,7 +940,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2bc92389", + "id": "a8e21617", "metadata": {}, "outputs": [], "source": [ @@ -950,7 +950,7 @@ }, { "cell_type": "markdown", - "id": "4fb5c4f2", + "id": "c82d101d", "metadata": {}, "source": [ "One of the nice things about pandas `DataFrame` and `Series` objects is that they have methods for plotting and visualization that work through Matplotlib.\n", @@ -961,7 +961,7 @@ { "cell_type": "code", "execution_count": null, - "id": "808ba4f3", + "id": "81186cb3", "metadata": {}, "outputs": [], "source": [ @@ -973,7 +973,7 @@ }, { "cell_type": "markdown", - "id": "0fce2926", + "id": "84f055f9", "metadata": {}, "source": [ "At the moment the data frame is ordered alphabetically on the countries---let's change it to GDP per capita" @@ -982,7 +982,7 @@ { "cell_type": "code", "execution_count": null, - "id": "22a8a142", + "id": "5a0c82c9", "metadata": {}, "outputs": [], "source": [ @@ -992,7 +992,7 @@ }, { "cell_type": "markdown", - "id": "b963d80f", + "id": "55761986", "metadata": {}, "source": [ "Plotting as before now yields" @@ -1001,7 +1001,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7b866909", + "id": "eb075583", "metadata": {}, "outputs": [], "source": [ @@ -1013,7 +1013,7 @@ }, { "cell_type": "markdown", - "id": "53617e84", + "id": "0442f89f", "metadata": {}, "source": [ "## On-Line Data Sources\n", @@ -1057,7 +1057,7 @@ { "cell_type": "code", "execution_count": null, - "id": "81df7546", + "id": "2acdbf88", "metadata": {}, "outputs": [], "source": [ @@ -1066,7 +1066,7 @@ }, { "cell_type": "markdown", - "id": "b3159484", + "id": "2ee50e70", "metadata": {}, "source": [ "If there's no error message, then the call has succeeded.\n", @@ -1087,7 +1087,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7018e520", + "id": "de6c51c7", "metadata": {}, "outputs": [], "source": [ @@ -1099,7 +1099,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8d6811d2", + "id": "8ae07aa1", "metadata": {}, "outputs": [], "source": [ @@ -1109,7 +1109,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fda5790b", + "id": "a347947c", "metadata": {}, "outputs": [], "source": [ @@ -1118,7 +1118,7 @@ }, { "cell_type": "markdown", - "id": "a0256f17", + "id": "1424bfa2", "metadata": {}, "source": [ "We could now write some additional code to parse this text and store it as an array.\n", @@ -1131,7 +1131,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a0dae045", + "id": "b7a550d0", "metadata": {}, "outputs": [], "source": [ @@ -1140,7 +1140,7 @@ }, { "cell_type": "markdown", - "id": "9db67bb2", + "id": "fb6eaeaf", "metadata": {}, "source": [ "The data has been read into a pandas DataFrame called `data` that we can now manipulate in the usual way" @@ -1149,7 +1149,7 @@ { "cell_type": "code", "execution_count": null, - "id": "93583f6a", + "id": "02475e91", "metadata": {}, "outputs": [], "source": [ @@ -1159,7 +1159,7 @@ { "cell_type": "code", "execution_count": null, - "id": "aaac557c", + "id": "f5eabdb9", "metadata": {}, "outputs": [], "source": [ @@ -1169,7 +1169,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9fea617d", + "id": "7aff6c9c", "metadata": {}, "outputs": [], "source": [ @@ -1179,7 +1179,7 @@ }, { "cell_type": "markdown", - "id": "f867cbb8", + "id": "7e478bee", "metadata": {}, "source": [ "We can also plot the unemployment rate from 2006 to 2012 as follows" @@ -1188,7 +1188,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3fe85767", + "id": "9f37120f", "metadata": {}, "outputs": [], "source": [ @@ -1200,7 +1200,7 @@ }, { "cell_type": "markdown", - "id": "f83ddc35", + "id": "50b14e3a", "metadata": {}, "source": [ "Note that pandas offers many other file type alternatives.\n", @@ -1239,7 +1239,7 @@ { "cell_type": "code", "execution_count": null, - "id": "557d8b64", + "id": "1e7f5633", "metadata": {}, "outputs": [], "source": [ @@ -1256,7 +1256,7 @@ }, { "cell_type": "markdown", - "id": "b977f30d", + "id": "4b4dd800", "metadata": {}, "source": [ "The [documentation](https://pandas-datareader.readthedocs.io/en/latest/index.html) provides more details on how to access various data sources.\n", @@ -1273,7 +1273,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4bf13aa0", + "id": "9c472d5e", "metadata": {}, "outputs": [], "source": [ @@ -1283,7 +1283,7 @@ }, { "cell_type": "markdown", - "id": "61504962", + "id": "55c09612", "metadata": {}, "source": [ "Write a program to calculate the percentage price change over 2021 for the following shares:" @@ -1292,7 +1292,7 @@ { "cell_type": "code", "execution_count": null, - "id": "561c2df3", + "id": "386eec12", "metadata": {}, "outputs": [], "source": [ @@ -1311,7 +1311,7 @@ }, { "cell_type": "markdown", - "id": "5b261156", + "id": "0517dd55", "metadata": {}, "source": [ "Here's the first part of the program" @@ -1320,7 +1320,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3aaba15d", + "id": "08dd92d8", "metadata": {}, "outputs": [], "source": [ @@ -1350,7 +1350,7 @@ }, { "cell_type": "markdown", - "id": "2e0eb617", + "id": "cc818edd", "metadata": {}, "source": [ "Complete the program to plot the result as a bar graph like this one:\n", @@ -1375,7 +1375,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a181b911", + "id": "514bc6f0", "metadata": {}, "outputs": [], "source": [ @@ -1387,7 +1387,7 @@ }, { "cell_type": "markdown", - "id": "bd4bfb87", + "id": "ab4ede52", "metadata": {}, "source": [ "Alternatively you can use an inbuilt method `pct_change` and configure it to\n", @@ -1397,7 +1397,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2afa08d4", + "id": "1db2ea49", "metadata": {}, "outputs": [], "source": [ @@ -1408,7 +1408,7 @@ }, { "cell_type": "markdown", - "id": "00bdc4f6", + "id": "e4fbb4cb", "metadata": {}, "source": [ "Then to plot the chart" @@ -1417,7 +1417,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cc4593e3", + "id": "d03df688", "metadata": {}, "outputs": [], "source": [ @@ -1432,7 +1432,7 @@ }, { "cell_type": "markdown", - "id": "cf427e7b", + "id": "3da6dd71", "metadata": {}, "source": [ "```{solution-end}\n", @@ -1449,7 +1449,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2ae4e1d8", + "id": "81132d53", "metadata": {}, "outputs": [], "source": [ @@ -1461,7 +1461,7 @@ }, { "cell_type": "markdown", - "id": "fc80b66f", + "id": "27fc3855", "metadata": {}, "source": [ "Complete the program to show summary statistics and plot the result as a time series graph like this one:\n", @@ -1483,7 +1483,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6fa50073", + "id": "024f9173", "metadata": {}, "outputs": [], "source": [ @@ -1496,7 +1496,7 @@ }, { "cell_type": "markdown", - "id": "979fc696", + "id": "c0cb0595", "metadata": {}, "source": [ "Then, extract the first and last set of prices per year as DataFrames and calculate the yearly returns such as:" @@ -1505,7 +1505,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b4b010ec", + "id": "b3648974", "metadata": {}, "outputs": [], "source": [ @@ -1522,7 +1522,7 @@ }, { "cell_type": "markdown", - "id": "5c16a348", + "id": "aa91bf37", "metadata": {}, "source": [ "Next, you can obtain summary statistics by using the method `describe`." @@ -1531,7 +1531,7 @@ { "cell_type": "code", "execution_count": null, - "id": "75db40c8", + "id": "3b31d251", "metadata": {}, "outputs": [], "source": [ @@ -1540,7 +1540,7 @@ }, { "cell_type": "markdown", - "id": "8a693d6c", + "id": "ae239b17", "metadata": {}, "source": [ "Then, to plot the chart" @@ -1549,7 +1549,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d4e1e579", + "id": "e6f7cdb2", "metadata": {}, "outputs": [], "source": [ @@ -1566,7 +1566,7 @@ }, { "cell_type": "markdown", - "id": "a691a692", + "id": "5d578adc", "metadata": {}, "source": [ "```{solution-end}\n", diff --git a/_sources/parallelization.ipynb b/_sources/parallelization.ipynb index 2ac253a5..27fac723 100644 --- a/_sources/parallelization.ipynb +++ b/_sources/parallelization.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "1c4568e5", + "id": "c3cf52a7", "metadata": {}, "source": [ "(parallel)=\n", @@ -26,7 +26,7 @@ { "cell_type": "code", "execution_count": null, - "id": "078498f9", + "id": "b594a121", "metadata": { "tags": [ "hide-output" @@ -39,7 +39,7 @@ }, { "cell_type": "markdown", - "id": "93b1e423", + "id": "92191d44", "metadata": {}, "source": [ "## Overview\n", @@ -73,7 +73,7 @@ { "cell_type": "code", "execution_count": null, - "id": "865fcab9", + "id": "55690501", "metadata": {}, "outputs": [], "source": [ @@ -86,7 +86,7 @@ }, { "cell_type": "markdown", - "id": "78468332", + "id": "5a21b2a1", "metadata": {}, "source": [ "## Types of Parallelization\n", @@ -161,7 +161,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d05817b8", + "id": "9eb5b0b1", "metadata": {}, "outputs": [], "source": [ @@ -174,7 +174,7 @@ }, { "cell_type": "markdown", - "id": "30aa5a86", + "id": "bf3d13bc", "metadata": {}, "source": [ "Now, let's look at the output of the htop system monitor on our machine while\n", @@ -200,7 +200,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7a98aad6", + "id": "a0f92520", "metadata": {}, "outputs": [], "source": [ @@ -214,7 +214,7 @@ { "cell_type": "code", "execution_count": null, - "id": "23ed9285", + "id": "81515e73", "metadata": {}, "outputs": [], "source": [ @@ -223,7 +223,7 @@ }, { "cell_type": "markdown", - "id": "9bf95922", + "id": "aca4ff71", "metadata": {}, "source": [ "If you have a system monitor such as htop (Linux/Mac) or perfmon\n", @@ -248,7 +248,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7d894c4d", + "id": "6cd9c6f0", "metadata": {}, "outputs": [], "source": [ @@ -264,7 +264,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b47e361b", + "id": "dec9d6d5", "metadata": {}, "outputs": [], "source": [ @@ -273,7 +273,7 @@ }, { "cell_type": "markdown", - "id": "21969130", + "id": "597dd9c5", "metadata": {}, "source": [ "At least on our machine, the difference in the speed between the\n", @@ -318,7 +318,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3248f99a", + "id": "d525527a", "metadata": {}, "outputs": [], "source": [ @@ -332,7 +332,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8f034fb9", + "id": "ce959e2e", "metadata": {}, "outputs": [], "source": [ @@ -341,7 +341,7 @@ }, { "cell_type": "markdown", - "id": "83a21306", + "id": "5589f8ab", "metadata": {}, "source": [ "Now our code runs significantly faster than the NumPy version.\n", @@ -379,7 +379,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ef0537f7", + "id": "9429c82f", "metadata": {}, "outputs": [], "source": [ @@ -403,7 +403,7 @@ }, { "cell_type": "markdown", - "id": "688d2393", + "id": "3804abfd", "metadata": {}, "source": [ "Let's have a look at how wealth evolves under this rule." @@ -412,7 +412,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ced3037a", + "id": "2eb4463d", "metadata": {}, "outputs": [], "source": [ @@ -432,7 +432,7 @@ }, { "cell_type": "markdown", - "id": "f5c8059b", + "id": "58f90d6a", "metadata": {}, "source": [ "Now let's suppose that we have a large population of households and we want to\n", @@ -468,7 +468,7 @@ { "cell_type": "code", "execution_count": null, - "id": "29f76b32", + "id": "80f86a43", "metadata": {}, "outputs": [], "source": [ @@ -487,7 +487,7 @@ }, { "cell_type": "markdown", - "id": "ab2de075", + "id": "76c314ab", "metadata": {}, "source": [ "Let's see how fast this runs:" @@ -496,7 +496,7 @@ { "cell_type": "code", "execution_count": null, - "id": "75ad0e26", + "id": "0cacd8aa", "metadata": {}, "outputs": [], "source": [ @@ -506,7 +506,7 @@ }, { "cell_type": "markdown", - "id": "689369d6", + "id": "6e24825f", "metadata": {}, "source": [ "To speed this up, we're going to parallelize it via multithreading.\n", @@ -517,7 +517,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7e2d13bf", + "id": "ce647b1c", "metadata": {}, "outputs": [], "source": [ @@ -538,7 +538,7 @@ }, { "cell_type": "markdown", - "id": "e3bed59e", + "id": "916d5ce6", "metadata": {}, "source": [ "Let's look at the timing:" @@ -547,7 +547,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1452b7b3", + "id": "295419e3", "metadata": {}, "outputs": [], "source": [ @@ -557,7 +557,7 @@ }, { "cell_type": "markdown", - "id": "4f6e3494", + "id": "f81c36fb", "metadata": {}, "source": [ "The speed-up is significant.\n", @@ -611,7 +611,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bba5c5b1", + "id": "41c02579", "metadata": {}, "outputs": [], "source": [ @@ -632,7 +632,7 @@ }, { "cell_type": "markdown", - "id": "71949297", + "id": "4cc06e6b", "metadata": {}, "source": [ "Now let's see how fast it runs:" @@ -641,7 +641,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1d89211e", + "id": "b22c0f72", "metadata": {}, "outputs": [], "source": [ @@ -651,7 +651,7 @@ { "cell_type": "code", "execution_count": null, - "id": "42b82e0c", + "id": "5c0dc59f", "metadata": {}, "outputs": [], "source": [ @@ -660,7 +660,7 @@ }, { "cell_type": "markdown", - "id": "46d9cd62", + "id": "cb5d314b", "metadata": {}, "source": [ "By switching parallelization on and off (selecting `True` or\n", @@ -756,7 +756,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fcef9102", + "id": "762e197b", "metadata": {}, "outputs": [], "source": [ @@ -793,7 +793,7 @@ }, { "cell_type": "markdown", - "id": "b0c5ccac", + "id": "552b457e", "metadata": {}, "source": [ "Try swapping between `parallel=True` and `parallel=False` and noting the run time.\n", diff --git a/_sources/python_advanced_features.ipynb b/_sources/python_advanced_features.ipynb index bc0aad67..4e07ce37 100644 --- a/_sources/python_advanced_features.ipynb +++ b/_sources/python_advanced_features.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "76640429", + "id": "49a48a1f", "metadata": {}, "source": [ "(python_advanced_features)=\n", @@ -61,7 +61,7 @@ { "cell_type": "code", "execution_count": null, - "id": "104d337a", + "id": "262a9adf", "metadata": {}, "outputs": [], "source": [ @@ -80,7 +80,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e638d391", + "id": "dd2c4559", "metadata": {}, "outputs": [], "source": [ @@ -91,7 +91,7 @@ { "cell_type": "code", "execution_count": null, - "id": "113c2db6", + "id": "ccea45cd", "metadata": {}, "outputs": [], "source": [ @@ -100,7 +100,7 @@ }, { "cell_type": "markdown", - "id": "ac4f0c85", + "id": "9951244f", "metadata": {}, "source": [ "We see that file objects do indeed have a `__next__` method, and that calling this method returns the next line in the file.\n", @@ -112,7 +112,7 @@ { "cell_type": "code", "execution_count": null, - "id": "051b2620", + "id": "e58f1e2c", "metadata": {}, "outputs": [], "source": [ @@ -121,7 +121,7 @@ }, { "cell_type": "markdown", - "id": "0baf1edd", + "id": "20192443", "metadata": {}, "source": [ "The objects returned by `enumerate()` are also iterators" @@ -130,7 +130,7 @@ { "cell_type": "code", "execution_count": null, - "id": "447ee002", + "id": "ebdc859d", "metadata": {}, "outputs": [], "source": [ @@ -141,7 +141,7 @@ { "cell_type": "code", "execution_count": null, - "id": "54a10dc8", + "id": "8ea07932", "metadata": {}, "outputs": [], "source": [ @@ -150,7 +150,7 @@ }, { "cell_type": "markdown", - "id": "6bf84b11", + "id": "4b2962e2", "metadata": {}, "source": [ "as are the reader objects from the `csv` module .\n", @@ -161,7 +161,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f75c53e8", + "id": "e6fe2c17", "metadata": {}, "outputs": [], "source": [ @@ -182,7 +182,7 @@ { "cell_type": "code", "execution_count": null, - "id": "db316cc4", + "id": "54eec770", "metadata": {}, "outputs": [], "source": [ @@ -196,7 +196,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a5d398a9", + "id": "bc2dd40f", "metadata": {}, "outputs": [], "source": [ @@ -205,7 +205,7 @@ }, { "cell_type": "markdown", - "id": "6a618190", + "id": "d1fa6859", "metadata": {}, "source": [ "### Iterators in For Loops\n", @@ -258,7 +258,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d0fe98c7", + "id": "70f8ca34", "metadata": {}, "outputs": [], "source": [ @@ -268,7 +268,7 @@ }, { "cell_type": "markdown", - "id": "827b60b6", + "id": "2d761493", "metadata": {}, "source": [ "So does that mean that a list is an iterator?\n", @@ -279,7 +279,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c6953ee3", + "id": "b0149902", "metadata": {}, "outputs": [], "source": [ @@ -290,7 +290,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6028ba1c", + "id": "8457e707", "metadata": { "tags": [ "raises-exception" @@ -303,7 +303,7 @@ }, { "cell_type": "markdown", - "id": "d53efbee", + "id": "985d21a4", "metadata": {}, "source": [ "So why can we iterate over a list in a `for` loop?\n", @@ -318,7 +318,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6353ba60", + "id": "22ab38c2", "metadata": {}, "outputs": [], "source": [ @@ -329,7 +329,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ef214fc1", + "id": "ff020375", "metadata": {}, "outputs": [], "source": [ @@ -340,7 +340,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5f52ec2a", + "id": "b632c5a3", "metadata": {}, "outputs": [], "source": [ @@ -350,7 +350,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6c9a5c9d", + "id": "9ec782f4", "metadata": {}, "outputs": [], "source": [ @@ -360,7 +360,7 @@ { "cell_type": "code", "execution_count": null, - "id": "aaf6521b", + "id": "b827c6e8", "metadata": { "tags": [ "raises-exception" @@ -373,7 +373,7 @@ }, { "cell_type": "markdown", - "id": "2582f468", + "id": "e5b59cf3", "metadata": {}, "source": [ "Many other objects are iterable, such as dictionaries and tuples.\n", @@ -384,7 +384,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bb0561a2", + "id": "3ff9e4a1", "metadata": { "tags": [ "raises-exception" @@ -397,7 +397,7 @@ }, { "cell_type": "markdown", - "id": "35c6abe7", + "id": "59008e1b", "metadata": {}, "source": [ "To conclude our discussion of `for` loops\n", @@ -420,7 +420,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9089f564", + "id": "f91dcfb0", "metadata": {}, "outputs": [], "source": [ @@ -431,7 +431,7 @@ { "cell_type": "code", "execution_count": null, - "id": "dc257cf7", + "id": "a20ca4a1", "metadata": {}, "outputs": [], "source": [ @@ -442,7 +442,7 @@ { "cell_type": "code", "execution_count": null, - "id": "40d6d812", + "id": "e3b2d3d3", "metadata": {}, "outputs": [], "source": [ @@ -451,7 +451,7 @@ }, { "cell_type": "markdown", - "id": "4fe48f9d", + "id": "b278bd3a", "metadata": {}, "source": [ "One thing to remember about iterators is that they are depleted by use" @@ -460,7 +460,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1f8e5a3d", + "id": "94339301", "metadata": {}, "outputs": [], "source": [ @@ -472,7 +472,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bd96d789", + "id": "c9e2e2c0", "metadata": { "tags": [ "raises-exception" @@ -485,7 +485,7 @@ }, { "cell_type": "markdown", - "id": "31a81c87", + "id": "3eb07a6a", "metadata": {}, "source": [ "## `*` and `**` Operators\n", @@ -509,7 +509,7 @@ { "cell_type": "code", "execution_count": null, - "id": "42e5a254", + "id": "197c8b7c", "metadata": {}, "outputs": [], "source": [ @@ -520,7 +520,7 @@ }, { "cell_type": "markdown", - "id": "15429300", + "id": "a10ba85c", "metadata": {}, "source": [ "While the `print` function prints individual elements since `*` unpacks the list into individual arguments" @@ -529,7 +529,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2c9a9944", + "id": "7b1ac42f", "metadata": {}, "outputs": [], "source": [ @@ -538,7 +538,7 @@ }, { "cell_type": "markdown", - "id": "00624abe", + "id": "2caf5042", "metadata": {}, "source": [ "Unpacking the list using `*` into positional arguments is equivalent to defining them individually when calling the function" @@ -547,7 +547,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6fb4afc9", + "id": "92f055dd", "metadata": {}, "outputs": [], "source": [ @@ -556,7 +556,7 @@ }, { "cell_type": "markdown", - "id": "853d1d60", + "id": "976ed828", "metadata": {}, "source": [ "However, `*` operator is more convenient if we want to reuse them again" @@ -565,7 +565,7 @@ { "cell_type": "code", "execution_count": null, - "id": "01a0d1c0", + "id": "43bba589", "metadata": {}, "outputs": [], "source": [ @@ -576,7 +576,7 @@ }, { "cell_type": "markdown", - "id": "d06920f1", + "id": "e89ffbb0", "metadata": {}, "source": [ "Similarly, `**` is used to unpack arguments.\n", @@ -596,7 +596,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6846ab33", + "id": "2d36948f", "metadata": {}, "outputs": [], "source": [ @@ -652,7 +652,7 @@ }, { "cell_type": "markdown", - "id": "cdb53fbf", + "id": "59326c26", "metadata": {}, "source": [ "In this example, `*` unpacked the zipped parameters `βs` and the output of `generate_data` function stored in tuples, \n", @@ -684,7 +684,7 @@ { "cell_type": "code", "execution_count": null, - "id": "19db50bb", + "id": "e0c62b49", "metadata": {}, "outputs": [], "source": [ @@ -699,7 +699,7 @@ }, { "cell_type": "markdown", - "id": "60e04225", + "id": "0d7582b0", "metadata": {}, "source": [ "The inputs are passed into the function and stored in a tuple.\n", @@ -710,7 +710,7 @@ { "cell_type": "code", "execution_count": null, - "id": "620f4eea", + "id": "fa3201a1", "metadata": {}, "outputs": [], "source": [ @@ -720,7 +720,7 @@ }, { "cell_type": "markdown", - "id": "14f9eae5", + "id": "8d5313b7", "metadata": {}, "source": [ "Similarly, Python allows us to use `**kargs` to pass arbitrarily many *keyword arguments* into functions" @@ -729,7 +729,7 @@ { "cell_type": "code", "execution_count": null, - "id": "70491fc6", + "id": "bb2314f6", "metadata": {}, "outputs": [], "source": [ @@ -742,7 +742,7 @@ }, { "cell_type": "markdown", - "id": "09fbdf06", + "id": "55e1bf73", "metadata": {}, "source": [ "We can see Python uses a dictionary to store these keyword arguments.\n", @@ -753,7 +753,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fcc15487", + "id": "723dde9b", "metadata": {}, "outputs": [], "source": [ @@ -762,7 +762,7 @@ }, { "cell_type": "markdown", - "id": "cd08246b", + "id": "dc95cc67", "metadata": {}, "source": [ "Overall, `*args` and `**kargs` are used when *defining a function*; they enable the function to take input with an arbitrary size.\n", @@ -803,7 +803,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f2e9dde0", + "id": "ca565c9c", "metadata": {}, "outputs": [], "source": [ @@ -820,7 +820,7 @@ }, { "cell_type": "markdown", - "id": "c3f4f897", + "id": "7f691218", "metadata": {}, "source": [ "Now suppose there's a problem: occasionally negative numbers get fed to `f` and `g` in the calculations that follow.\n", @@ -840,7 +840,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e8fc99b5", + "id": "cd8a68e6", "metadata": {}, "outputs": [], "source": [ @@ -859,7 +859,7 @@ }, { "cell_type": "markdown", - "id": "6b43a96d", + "id": "f87294a0", "metadata": {}, "source": [ "Notice however that there is some repetition here, in the form of two identical lines of code.\n", @@ -879,7 +879,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a0e69ba0", + "id": "bb8762e1", "metadata": {}, "outputs": [], "source": [ @@ -904,7 +904,7 @@ }, { "cell_type": "markdown", - "id": "48dfa277", + "id": "2bb3eaf8", "metadata": {}, "source": [ "This looks complicated so let's work through it slowly.\n", @@ -936,7 +936,7 @@ { "cell_type": "code", "execution_count": null, - "id": "92804b98", + "id": "87d3ae3f", "metadata": {}, "outputs": [], "source": [ @@ -946,7 +946,7 @@ }, { "cell_type": "markdown", - "id": "801817d0", + "id": "71494223", "metadata": {}, "source": [ "They may well miss the line `f = check_nonneg(f)`.\n", @@ -959,7 +959,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ca1542e0", + "id": "7d16eca9", "metadata": {}, "outputs": [], "source": [ @@ -975,7 +975,7 @@ }, { "cell_type": "markdown", - "id": "ef31118c", + "id": "2b049350", "metadata": {}, "source": [ "with" @@ -984,7 +984,7 @@ { "cell_type": "code", "execution_count": null, - "id": "89d77c5e", + "id": "33ab2cbf", "metadata": {}, "outputs": [], "source": [ @@ -999,7 +999,7 @@ }, { "cell_type": "markdown", - "id": "5152448d", + "id": "0001c19d", "metadata": {}, "source": [ "These two pieces of code do exactly the same thing.\n", @@ -1032,7 +1032,7 @@ { "cell_type": "code", "execution_count": null, - "id": "08ce6fe3", + "id": "49e8f26a", "metadata": {}, "outputs": [], "source": [ @@ -1047,7 +1047,7 @@ }, { "cell_type": "markdown", - "id": "44ad8fb4", + "id": "f9c0bef4", "metadata": {}, "source": [ "One potential problem we might have here is that a user alters one of these\n", @@ -1057,7 +1057,7 @@ { "cell_type": "code", "execution_count": null, - "id": "95531d76", + "id": "152256d9", "metadata": {}, "outputs": [], "source": [ @@ -1068,7 +1068,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fc993001", + "id": "b2b9d695", "metadata": {}, "outputs": [], "source": [ @@ -1078,7 +1078,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7f24aa4a", + "id": "3d59da68", "metadata": {}, "outputs": [], "source": [ @@ -1088,7 +1088,7 @@ }, { "cell_type": "markdown", - "id": "26ab23f6", + "id": "025ea560", "metadata": {}, "source": [ "In the last two lines we see that `miles` and `kms` are out of sync.\n", @@ -1111,7 +1111,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0ad534df", + "id": "218b4fba", "metadata": {}, "outputs": [], "source": [ @@ -1141,7 +1141,7 @@ }, { "cell_type": "markdown", - "id": "5dcf6bc4", + "id": "69ebfa12", "metadata": {}, "source": [ "First let's check that we get the desired behavior" @@ -1150,7 +1150,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c4dad626", + "id": "5520dbbf", "metadata": {}, "outputs": [], "source": [ @@ -1161,7 +1161,7 @@ { "cell_type": "code", "execution_count": null, - "id": "16bd5cde", + "id": "0bdd00a5", "metadata": {}, "outputs": [], "source": [ @@ -1171,7 +1171,7 @@ }, { "cell_type": "markdown", - "id": "1ffab079", + "id": "3697386d", "metadata": {}, "source": [ "Yep, that's what we want --- `car.kms` is automatically updated.\n", @@ -1211,7 +1211,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3740140a", + "id": "b6f545cf", "metadata": {}, "outputs": [], "source": [ @@ -1242,7 +1242,7 @@ }, { "cell_type": "markdown", - "id": "3f12ce9a", + "id": "a4a99477", "metadata": {}, "source": [ "We won't go through all the details here.\n", @@ -1271,7 +1271,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4308a7cb", + "id": "104fc7e8", "metadata": {}, "outputs": [], "source": [ @@ -1282,7 +1282,7 @@ { "cell_type": "code", "execution_count": null, - "id": "190a9ce5", + "id": "23ff5284", "metadata": {}, "outputs": [], "source": [ @@ -1293,7 +1293,7 @@ { "cell_type": "code", "execution_count": null, - "id": "db7aab75", + "id": "5724a7c3", "metadata": {}, "outputs": [], "source": [ @@ -1302,7 +1302,7 @@ }, { "cell_type": "markdown", - "id": "48731bb6", + "id": "0ffa40bd", "metadata": {}, "source": [ "And here is the generator expression" @@ -1311,7 +1311,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d8dbd4cf", + "id": "b3c53aae", "metadata": {}, "outputs": [], "source": [ @@ -1323,7 +1323,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3dba42e4", + "id": "0d0433b3", "metadata": {}, "outputs": [], "source": [ @@ -1333,7 +1333,7 @@ { "cell_type": "code", "execution_count": null, - "id": "10fe628d", + "id": "73e7a56a", "metadata": {}, "outputs": [], "source": [ @@ -1343,7 +1343,7 @@ { "cell_type": "code", "execution_count": null, - "id": "71a1cf83", + "id": "977fddb9", "metadata": {}, "outputs": [], "source": [ @@ -1352,7 +1352,7 @@ }, { "cell_type": "markdown", - "id": "44ae6655", + "id": "6fafe3ef", "metadata": {}, "source": [ "Since `sum()` can be called on iterators, we can do this" @@ -1361,7 +1361,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7fb4cbc9", + "id": "fed150ac", "metadata": {}, "outputs": [], "source": [ @@ -1370,7 +1370,7 @@ }, { "cell_type": "markdown", - "id": "e4d0f69b", + "id": "735d91fe", "metadata": {}, "source": [ "The function `sum()` calls `next()` to get the items, adds successive terms.\n", @@ -1381,7 +1381,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cc5d4af5", + "id": "fc5ddab3", "metadata": {}, "outputs": [], "source": [ @@ -1390,7 +1390,7 @@ }, { "cell_type": "markdown", - "id": "a910b21a", + "id": "878bbee7", "metadata": {}, "source": [ "### Generator Functions\n", @@ -1410,7 +1410,7 @@ { "cell_type": "code", "execution_count": null, - "id": "89d3cd81", + "id": "34116d79", "metadata": {}, "outputs": [], "source": [ @@ -1422,7 +1422,7 @@ }, { "cell_type": "markdown", - "id": "f07d52d6", + "id": "342e3ac2", "metadata": {}, "source": [ "It looks like a function, but uses a keyword `yield` that we haven't met before.\n", @@ -1433,7 +1433,7 @@ { "cell_type": "code", "execution_count": null, - "id": "97f5662c", + "id": "f76c3f71", "metadata": {}, "outputs": [], "source": [ @@ -1443,7 +1443,7 @@ { "cell_type": "code", "execution_count": null, - "id": "662d6cae", + "id": "2afb192a", "metadata": {}, "outputs": [], "source": [ @@ -1454,7 +1454,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0bc07020", + "id": "4cbcd6b1", "metadata": {}, "outputs": [], "source": [ @@ -1464,7 +1464,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1949a442", + "id": "29190b6c", "metadata": {}, "outputs": [], "source": [ @@ -1474,7 +1474,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1123e7fc", + "id": "86a5c5c4", "metadata": {}, "outputs": [], "source": [ @@ -1484,7 +1484,7 @@ { "cell_type": "code", "execution_count": null, - "id": "455e2174", + "id": "d2d5ecef", "metadata": { "tags": [ "raises-exception" @@ -1497,7 +1497,7 @@ }, { "cell_type": "markdown", - "id": "724810e4", + "id": "dd1e4cf1", "metadata": {}, "source": [ "The generator function `f()` is used to create generator objects (in this case `gen`).\n", @@ -1515,7 +1515,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5db24c97", + "id": "7cc30ae0", "metadata": {}, "outputs": [], "source": [ @@ -1527,7 +1527,7 @@ }, { "cell_type": "markdown", - "id": "836639d2", + "id": "3369cfb1", "metadata": {}, "source": [ "and continues until the next `yield` statement.\n", @@ -1544,7 +1544,7 @@ { "cell_type": "code", "execution_count": null, - "id": "854dee96", + "id": "50920380", "metadata": {}, "outputs": [], "source": [ @@ -1556,7 +1556,7 @@ }, { "cell_type": "markdown", - "id": "9a4eb16e", + "id": "72497f21", "metadata": {}, "source": [ "Let's see how it works" @@ -1565,7 +1565,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d95a8a26", + "id": "c638e1e1", "metadata": {}, "outputs": [], "source": [ @@ -1575,7 +1575,7 @@ { "cell_type": "code", "execution_count": null, - "id": "47b49565", + "id": "e3cd8c88", "metadata": {}, "outputs": [], "source": [ @@ -1586,7 +1586,7 @@ { "cell_type": "code", "execution_count": null, - "id": "780e1c9a", + "id": "3cdc9f15", "metadata": {}, "outputs": [], "source": [ @@ -1596,7 +1596,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d12e1782", + "id": "e854b4e5", "metadata": {}, "outputs": [], "source": [ @@ -1606,7 +1606,7 @@ { "cell_type": "code", "execution_count": null, - "id": "914465bf", + "id": "1c9948e7", "metadata": {}, "outputs": [], "source": [ @@ -1616,7 +1616,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f6309df1", + "id": "39626810", "metadata": { "tags": [ "raises-exception" @@ -1629,7 +1629,7 @@ }, { "cell_type": "markdown", - "id": "07896525", + "id": "62d3e732", "metadata": {}, "source": [ "The call `gen = g(2)` binds `gen` to a generator.\n", @@ -1648,7 +1648,7 @@ { "cell_type": "code", "execution_count": null, - "id": "56148272", + "id": "f7398682", "metadata": {}, "outputs": [], "source": [ @@ -1660,7 +1660,7 @@ }, { "cell_type": "markdown", - "id": "06883eb1", + "id": "f2f94f31", "metadata": {}, "source": [ "When `x < 100` fails, the generator throws a `StopIteration` error.\n", @@ -1671,7 +1671,7 @@ { "cell_type": "code", "execution_count": null, - "id": "33cf200a", + "id": "0504499d", "metadata": {}, "outputs": [], "source": [ @@ -1683,7 +1683,7 @@ }, { "cell_type": "markdown", - "id": "355d6072", + "id": "be2ebb92", "metadata": {}, "source": [ "### Advantages of Iterators\n", @@ -1698,7 +1698,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f5c27ed7", + "id": "fab7c1da", "metadata": {}, "outputs": [], "source": [ @@ -1710,7 +1710,7 @@ }, { "cell_type": "markdown", - "id": "4fc1649f", + "id": "207976b0", "metadata": {}, "source": [ "But we are creating two huge lists here, `range(n)` and `draws`.\n", @@ -1723,7 +1723,7 @@ { "cell_type": "code", "execution_count": null, - "id": "21c6b715", + "id": "39c7bae7", "metadata": { "tags": [ "raises-exception" @@ -1737,7 +1737,7 @@ }, { "cell_type": "markdown", - "id": "7cc08342", + "id": "2d896978", "metadata": {}, "source": [ "We can avoid these problems using iterators.\n", @@ -1748,7 +1748,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2271ba86", + "id": "573f66ed", "metadata": {}, "outputs": [], "source": [ @@ -1761,7 +1761,7 @@ }, { "cell_type": "markdown", - "id": "5a594ba5", + "id": "d9af8a8d", "metadata": {}, "source": [ "Now let's do the sum" @@ -1770,7 +1770,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c6cc9ec5", + "id": "8adf9760", "metadata": {}, "outputs": [], "source": [ @@ -1782,7 +1782,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a0e1c03e", + "id": "7789c1cb", "metadata": {}, "outputs": [], "source": [ @@ -1791,7 +1791,7 @@ }, { "cell_type": "markdown", - "id": "72105b8c", + "id": "3847ad81", "metadata": {}, "source": [ "In summary, iterables\n", @@ -1840,7 +1840,7 @@ { "cell_type": "code", "execution_count": null, - "id": "234a2381", + "id": "f6ca9894", "metadata": {}, "outputs": [], "source": [ @@ -1868,7 +1868,7 @@ }, { "cell_type": "markdown", - "id": "0f6f6305", + "id": "d78feb5a", "metadata": {}, "source": [ "```{solution-end}\n", diff --git a/_sources/python_by_example.ipynb b/_sources/python_by_example.ipynb index a8b3e429..fa7c921a 100644 --- a/_sources/python_by_example.ipynb +++ b/_sources/python_by_example.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "95917de5", + "id": "6efbfe3c", "metadata": {}, "source": [ "(python_by_example)=\n", @@ -61,7 +61,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ecc08070", + "id": "cd49dff9", "metadata": {}, "outputs": [], "source": [ @@ -75,7 +75,7 @@ }, { "cell_type": "markdown", - "id": "bfaba5e4", + "id": "73d1708c", "metadata": {}, "source": [ "Let's break this program down and see how it works.\n", @@ -101,7 +101,7 @@ { "cell_type": "code", "execution_count": null, - "id": "088ce6b6", + "id": "aae05534", "metadata": {}, "outputs": [], "source": [ @@ -111,7 +111,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a0d498d8", + "id": "a234e931", "metadata": {}, "outputs": [], "source": [ @@ -120,7 +120,7 @@ }, { "cell_type": "markdown", - "id": "b3f874dd", + "id": "c99ecfd6", "metadata": {}, "source": [ "We could also use the following syntax:" @@ -129,7 +129,7 @@ { "cell_type": "code", "execution_count": null, - "id": "664c7d88", + "id": "bc1a246a", "metadata": {}, "outputs": [], "source": [ @@ -140,7 +140,7 @@ }, { "cell_type": "markdown", - "id": "ea7452ad", + "id": "b4c1bce5", "metadata": {}, "source": [ "But the former method (using the short name `np`) is convenient and more standard.\n", @@ -200,7 +200,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d4edf436", + "id": "7d4886bd", "metadata": {}, "outputs": [], "source": [ @@ -211,7 +211,7 @@ }, { "cell_type": "markdown", - "id": "91456a0e", + "id": "4778f844", "metadata": {}, "source": [ "Here's another way to access NumPy's square root function" @@ -220,7 +220,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8befcc23", + "id": "c3a4717d", "metadata": {}, "outputs": [], "source": [ @@ -231,7 +231,7 @@ }, { "cell_type": "markdown", - "id": "5bc1316c", + "id": "7616948a", "metadata": {}, "source": [ "This is also fine.\n", @@ -252,7 +252,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0d96e780", + "id": "c88b5d62", "metadata": {}, "outputs": [], "source": [ @@ -263,7 +263,7 @@ }, { "cell_type": "markdown", - "id": "79d4f4db", + "id": "963a7512", "metadata": {}, "source": [ "The first line generates 100 (quasi) independent standard normals and stores\n", @@ -292,7 +292,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8362befb", + "id": "491df52a", "metadata": {}, "outputs": [], "source": [ @@ -309,7 +309,7 @@ }, { "cell_type": "markdown", - "id": "79b8fd5c", + "id": "eaf45708", "metadata": {}, "source": [ "In brief,\n", @@ -340,7 +340,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9bd367ef", + "id": "d0307a32", "metadata": {}, "outputs": [], "source": [ @@ -350,7 +350,7 @@ }, { "cell_type": "markdown", - "id": "a3385bb9", + "id": "71e58bea", "metadata": {}, "source": [ "The first element of `x` is an [integer](https://en.wikipedia.org/wiki/Integer_(computer_science)), the next is a [string](https://en.wikipedia.org/wiki/String_(computer_science)), and the third is a [Boolean value](https://en.wikipedia.org/wiki/Boolean_data_type).\n", @@ -361,7 +361,7 @@ { "cell_type": "code", "execution_count": null, - "id": "be9a078f", + "id": "2d7406c4", "metadata": {}, "outputs": [], "source": [ @@ -371,7 +371,7 @@ { "cell_type": "code", "execution_count": null, - "id": "215edf18", + "id": "df492441", "metadata": {}, "outputs": [], "source": [ @@ -381,7 +381,7 @@ }, { "cell_type": "markdown", - "id": "66f20b19", + "id": "4d454d41", "metadata": {}, "source": [ "Here `append()` is what's called a *method*, which is a function \"attached to\" an object---in this case, the list `x`.\n", @@ -397,7 +397,7 @@ { "cell_type": "code", "execution_count": null, - "id": "49bd8931", + "id": "ea794748", "metadata": {}, "outputs": [], "source": [ @@ -407,7 +407,7 @@ { "cell_type": "code", "execution_count": null, - "id": "076804b8", + "id": "fc39be7a", "metadata": {}, "outputs": [], "source": [ @@ -417,7 +417,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b1aa7b16", + "id": "daf8a96a", "metadata": {}, "outputs": [], "source": [ @@ -426,7 +426,7 @@ }, { "cell_type": "markdown", - "id": "1c1988e8", + "id": "cb4fe132", "metadata": {}, "source": [ "Lists in Python are zero-based (as in C, Java or Go), so the first element is referenced by `x[0]`" @@ -435,7 +435,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0a5df239", + "id": "da5c4d0f", "metadata": {}, "outputs": [], "source": [ @@ -445,7 +445,7 @@ { "cell_type": "code", "execution_count": null, - "id": "db94f696", + "id": "902dd40b", "metadata": {}, "outputs": [], "source": [ @@ -454,7 +454,7 @@ }, { "cell_type": "markdown", - "id": "0544a68b", + "id": "89e14d93", "metadata": {}, "source": [ "### The For Loop\n", @@ -468,7 +468,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9ed70db9", + "id": "e337b01e", "metadata": {}, "outputs": [], "source": [ @@ -479,7 +479,7 @@ }, { "cell_type": "markdown", - "id": "f01d5ade", + "id": "d1e19591", "metadata": {}, "source": [ "Python executes the two indented lines `ts_length` times before moving on.\n", @@ -496,7 +496,7 @@ { "cell_type": "code", "execution_count": null, - "id": "517f0847", + "id": "0fde9134", "metadata": {}, "outputs": [], "source": [ @@ -507,7 +507,7 @@ }, { "cell_type": "markdown", - "id": "d220d92f", + "id": "6c52584e", "metadata": {}, "source": [ "This example helps to clarify how the `for` loop works: When we execute a\n", @@ -568,7 +568,7 @@ { "cell_type": "code", "execution_count": null, - "id": "948b75b7", + "id": "175e1fa2", "metadata": {}, "outputs": [], "source": [ @@ -585,7 +585,7 @@ }, { "cell_type": "markdown", - "id": "34e41171", + "id": "7992ac7c", "metadata": {}, "source": [ "A while loop will keep executing the code block delimited by indentation until the condition (```i < ts_length```) is satisfied.\n", @@ -596,7 +596,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5acd5107", + "id": "6efce5f9", "metadata": {}, "outputs": [], "source": [ @@ -605,7 +605,7 @@ }, { "cell_type": "markdown", - "id": "54a5ac4f", + "id": "a10f9d10", "metadata": {}, "source": [ "Note that\n", @@ -635,7 +635,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d32fb1f3", + "id": "bef6e1f8", "metadata": {}, "outputs": [], "source": [ @@ -654,7 +654,7 @@ }, { "cell_type": "markdown", - "id": "59acc3f6", + "id": "25ad8b6d", "metadata": {}, "source": [ "The statement `b = np.empty(T+1)` allocates storage in memory for `T+1`\n", @@ -695,7 +695,7 @@ { "cell_type": "code", "execution_count": null, - "id": "83f3e994", + "id": "1a5bf79c", "metadata": {}, "outputs": [], "source": [ @@ -705,7 +705,7 @@ }, { "cell_type": "markdown", - "id": "8310f14f", + "id": "4ffb9834", "metadata": {}, "source": [ "Set $T=200$ and $\\alpha = 0.9$.\n", @@ -723,7 +723,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f2366865", + "id": "8330eee3", "metadata": {}, "outputs": [], "source": [ @@ -741,7 +741,7 @@ }, { "cell_type": "markdown", - "id": "752636ba", + "id": "975b7641", "metadata": {}, "source": [ "```{solution-end}\n", @@ -777,7 +777,7 @@ { "cell_type": "code", "execution_count": null, - "id": "af225341", + "id": "39c128e1", "metadata": {}, "outputs": [], "source": [ @@ -797,7 +797,7 @@ }, { "cell_type": "markdown", - "id": "4c6818e1", + "id": "3e665535", "metadata": {}, "source": [ "```{note}\n", @@ -840,7 +840,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d498d2d6", + "id": "27f2a9d4", "metadata": {}, "outputs": [], "source": [ @@ -858,7 +858,7 @@ }, { "cell_type": "markdown", - "id": "8fda2cc4", + "id": "ee6bc5fb", "metadata": {}, "source": [ "```{solution-end}\n", @@ -881,7 +881,7 @@ { "cell_type": "code", "execution_count": null, - "id": "90e3aec3", + "id": "6358c56f", "metadata": {}, "outputs": [], "source": [ @@ -891,7 +891,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d5f6da49", + "id": "91997307", "metadata": {}, "outputs": [], "source": [ @@ -904,7 +904,7 @@ }, { "cell_type": "markdown", - "id": "2ca4b0ee", + "id": "1b2d4e8b", "metadata": {}, "source": [ "Now, write a new solution to Exercise 3 that does not use an existing function\n", @@ -925,7 +925,7 @@ { "cell_type": "code", "execution_count": null, - "id": "96993603", + "id": "6e619e24", "metadata": {}, "outputs": [], "source": [ @@ -947,7 +947,7 @@ }, { "cell_type": "markdown", - "id": "0a937249", + "id": "0c011885", "metadata": {}, "source": [ "Here's a shorter way to write the same thing:" @@ -956,7 +956,7 @@ { "cell_type": "code", "execution_count": null, - "id": "469b401c", + "id": "921009fd", "metadata": {}, "outputs": [], "source": [ @@ -975,7 +975,7 @@ }, { "cell_type": "markdown", - "id": "19d17835", + "id": "e7b7769a", "metadata": {}, "source": [ "```{solution-end}\n", @@ -997,7 +997,7 @@ { "cell_type": "code", "execution_count": null, - "id": "833bc0a4", + "id": "b1435852", "metadata": {}, "outputs": [], "source": [ @@ -1006,7 +1006,7 @@ }, { "cell_type": "markdown", - "id": "90c1ac23", + "id": "82bd583a", "metadata": {}, "source": [ "```{hint}\n", @@ -1047,7 +1047,7 @@ { "cell_type": "code", "execution_count": null, - "id": "105cc1b9", + "id": "082686d9", "metadata": {}, "outputs": [], "source": [ @@ -1075,7 +1075,7 @@ }, { "cell_type": "markdown", - "id": "9781b8b6", + "id": "e6ac551a", "metadata": {}, "source": [ "```{solution-end}\n", diff --git a/_sources/python_essentials.ipynb b/_sources/python_essentials.ipynb index 197648b8..50de7487 100644 --- a/_sources/python_essentials.ipynb +++ b/_sources/python_essentials.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "714f9ca6", + "id": "80b8975d", "metadata": {}, "source": [ "(python_done_right)=\n", @@ -66,7 +66,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f13b4433", + "id": "1ecc4591", "metadata": {}, "outputs": [], "source": [ @@ -76,7 +76,7 @@ }, { "cell_type": "markdown", - "id": "0eba6dbd", + "id": "224e1fb0", "metadata": {}, "source": [ "We can check the type of any object in memory using the `type()` function." @@ -85,7 +85,7 @@ { "cell_type": "code", "execution_count": null, - "id": "57f9a31f", + "id": "35ab8a64", "metadata": {}, "outputs": [], "source": [ @@ -94,7 +94,7 @@ }, { "cell_type": "markdown", - "id": "aaa13c61", + "id": "dd9acec7", "metadata": {}, "source": [ "In the next line of code, the interpreter evaluates the expression on the right of = and binds y to this value" @@ -103,7 +103,7 @@ { "cell_type": "code", "execution_count": null, - "id": "586a1501", + "id": "faccbfb1", "metadata": {}, "outputs": [], "source": [ @@ -114,7 +114,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3138e615", + "id": "5debeb39", "metadata": {}, "outputs": [], "source": [ @@ -123,7 +123,7 @@ }, { "cell_type": "markdown", - "id": "f95e9bf9", + "id": "0cf87fcb", "metadata": {}, "source": [ "In arithmetic expressions, `True` is converted to `1` and `False` is converted `0`.\n", @@ -136,7 +136,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8a678b9d", + "id": "627cd70b", "metadata": {}, "outputs": [], "source": [ @@ -146,7 +146,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4ba74002", + "id": "bdac9679", "metadata": {}, "outputs": [], "source": [ @@ -156,7 +156,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ff6aa28d", + "id": "f623063e", "metadata": {}, "outputs": [], "source": [ @@ -166,7 +166,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8342538b", + "id": "f9ac686f", "metadata": {}, "outputs": [], "source": [ @@ -177,7 +177,7 @@ }, { "cell_type": "markdown", - "id": "3726a607", + "id": "6df1c2cd", "metadata": {}, "source": [ "#### Numeric Types\n", @@ -192,7 +192,7 @@ { "cell_type": "code", "execution_count": null, - "id": "27cbdf56", + "id": "220a98eb", "metadata": {}, "outputs": [], "source": [ @@ -205,7 +205,7 @@ }, { "cell_type": "markdown", - "id": "a942a9d0", + "id": "52d2d5c8", "metadata": {}, "source": [ "### Containers\n", @@ -223,7 +223,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f07325e4", + "id": "5ea539b5", "metadata": {}, "outputs": [], "source": [ @@ -235,7 +235,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9de7b548", + "id": "41ca9182", "metadata": {}, "outputs": [], "source": [ @@ -244,7 +244,7 @@ }, { "cell_type": "markdown", - "id": "3d588242", + "id": "37c39b09", "metadata": {}, "source": [ "In Python, an object is called **immutable** if, once created, the object cannot be changed.\n", @@ -257,7 +257,7 @@ { "cell_type": "code", "execution_count": null, - "id": "43324398", + "id": "214f5f03", "metadata": {}, "outputs": [], "source": [ @@ -268,7 +268,7 @@ }, { "cell_type": "markdown", - "id": "f74db40c", + "id": "1a5443d1", "metadata": {}, "source": [ "But tuples are not" @@ -277,7 +277,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a819e19c", + "id": "f6657782", "metadata": { "tags": [ "raises-exception" @@ -291,7 +291,7 @@ }, { "cell_type": "markdown", - "id": "e0522064", + "id": "4485c90b", "metadata": {}, "source": [ "We'll say more about the role of mutable and immutable data a bit later.\n", @@ -302,7 +302,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bd6c1502", + "id": "f6757b56", "metadata": {}, "outputs": [], "source": [ @@ -314,7 +314,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1c0fc5c5", + "id": "a6f4ac5d", "metadata": {}, "outputs": [], "source": [ @@ -323,7 +323,7 @@ }, { "cell_type": "markdown", - "id": "01c240b6", + "id": "4311ff60", "metadata": {}, "source": [ "You've actually {ref}`seen an example of this ` already.\n", @@ -344,7 +344,7 @@ { "cell_type": "code", "execution_count": null, - "id": "475913a7", + "id": "7050b4a4", "metadata": {}, "outputs": [], "source": [ @@ -355,7 +355,7 @@ { "cell_type": "code", "execution_count": null, - "id": "15ef37cf", + "id": "123205e3", "metadata": {}, "outputs": [], "source": [ @@ -364,7 +364,7 @@ }, { "cell_type": "markdown", - "id": "4334d740", + "id": "35a98d37", "metadata": {}, "source": [ "The general rule is that `a[m:n]` returns `n - m` elements, starting at `a[m]`.\n", @@ -375,7 +375,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e4b91dde", + "id": "5f864c89", "metadata": {}, "outputs": [], "source": [ @@ -384,7 +384,7 @@ }, { "cell_type": "markdown", - "id": "3fb7c8bf", + "id": "a1fcca2a", "metadata": {}, "source": [ "You can also use the format `[start:end:step]` to specify the step" @@ -393,7 +393,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4349b267", + "id": "d8859b4f", "metadata": {}, "outputs": [], "source": [ @@ -402,7 +402,7 @@ }, { "cell_type": "markdown", - "id": "7717af0a", + "id": "1e75fef7", "metadata": {}, "source": [ "Using a negative step, you can return the sequence in a reversed order" @@ -411,7 +411,7 @@ { "cell_type": "code", "execution_count": null, - "id": "559d2f3a", + "id": "a1511e9b", "metadata": {}, "outputs": [], "source": [ @@ -420,7 +420,7 @@ }, { "cell_type": "markdown", - "id": "11c7b629", + "id": "00f4235d", "metadata": {}, "source": [ "The same slice notation works on tuples and strings" @@ -429,7 +429,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c634939f", + "id": "f67148c5", "metadata": {}, "outputs": [], "source": [ @@ -439,7 +439,7 @@ }, { "cell_type": "markdown", - "id": "11926571", + "id": "e8b216da", "metadata": {}, "source": [ "#### Sets and Dictionaries\n", @@ -459,7 +459,7 @@ { "cell_type": "code", "execution_count": null, - "id": "19b20848", + "id": "187b973f", "metadata": {}, "outputs": [], "source": [ @@ -470,7 +470,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0f3f597a", + "id": "c0455855", "metadata": {}, "outputs": [], "source": [ @@ -479,7 +479,7 @@ }, { "cell_type": "markdown", - "id": "70e4f4ee", + "id": "3b9d323b", "metadata": {}, "source": [ "The names `'name'` and `'age'` are called the *keys*.\n", @@ -493,7 +493,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4f423cc5", + "id": "2e867dcd", "metadata": {}, "outputs": [], "source": [ @@ -504,7 +504,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b638320d", + "id": "f056b33c", "metadata": {}, "outputs": [], "source": [ @@ -515,7 +515,7 @@ { "cell_type": "code", "execution_count": null, - "id": "aff7f439", + "id": "3ee197b7", "metadata": {}, "outputs": [], "source": [ @@ -524,7 +524,7 @@ }, { "cell_type": "markdown", - "id": "e109925e", + "id": "c03e2cfe", "metadata": {}, "source": [ "The `set()` function creates sets from sequences" @@ -533,7 +533,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ce2441a5", + "id": "d8ad2b04", "metadata": {}, "outputs": [], "source": [ @@ -543,7 +543,7 @@ }, { "cell_type": "markdown", - "id": "130a228e", + "id": "938fe0c2", "metadata": {}, "source": [ "## Input and Output\n", @@ -557,7 +557,7 @@ { "cell_type": "code", "execution_count": null, - "id": "768d1495", + "id": "c75f1323", "metadata": {}, "outputs": [], "source": [ @@ -569,7 +569,7 @@ }, { "cell_type": "markdown", - "id": "08137316", + "id": "8318b75d", "metadata": {}, "source": [ "Here\n", @@ -585,7 +585,7 @@ { "cell_type": "code", "execution_count": null, - "id": "467e5701", + "id": "3c6663f5", "metadata": {}, "outputs": [], "source": [ @@ -594,7 +594,7 @@ }, { "cell_type": "markdown", - "id": "d2c3a06c", + "id": "742b691b", "metadata": {}, "source": [ "If a path is not specified, then this is where Python writes to.\n", @@ -605,7 +605,7 @@ { "cell_type": "code", "execution_count": null, - "id": "718c18ab", + "id": "fa36888b", "metadata": {}, "outputs": [], "source": [ @@ -617,7 +617,7 @@ { "cell_type": "code", "execution_count": null, - "id": "89dae9fd", + "id": "b821d84f", "metadata": {}, "outputs": [], "source": [ @@ -626,7 +626,7 @@ }, { "cell_type": "markdown", - "id": "aa7eb0a7", + "id": "d3a4d376", "metadata": {}, "source": [ "In fact, the recommended approach in modern Python is to use a `with` statement to ensure the files are properly acquired and released.\n", @@ -645,7 +645,7 @@ { "cell_type": "code", "execution_count": null, - "id": "07f0e59d", + "id": "0a978dbb", "metadata": {}, "outputs": [], "source": [ @@ -656,7 +656,7 @@ }, { "cell_type": "markdown", - "id": "d74e45cb", + "id": "5e415aec", "metadata": {}, "source": [ "Note that we do not need to call the `close()` method since the `with` block\n", @@ -668,7 +668,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6f7ac33f", + "id": "8a60f9ed", "metadata": {}, "outputs": [], "source": [ @@ -679,7 +679,7 @@ }, { "cell_type": "markdown", - "id": "d7934643", + "id": "72c50a0e", "metadata": {}, "source": [ "Now suppose that we want to read input from one file and write output to another. \n", @@ -690,7 +690,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b96b6287", + "id": "6837f452", "metadata": {}, "outputs": [], "source": [ @@ -703,7 +703,7 @@ }, { "cell_type": "markdown", - "id": "1a33a432", + "id": "ceb6bcec", "metadata": {}, "source": [ "The output file will be" @@ -712,7 +712,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2fd2d147", + "id": "88f4e309", "metadata": {}, "outputs": [], "source": [ @@ -722,7 +722,7 @@ }, { "cell_type": "markdown", - "id": "ce16372f", + "id": "5b22532f", "metadata": {}, "source": [ "We can simplify the example above by grouping the two `with` statements into one line" @@ -731,7 +731,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0d7d63ef", + "id": "49e9a16b", "metadata": {}, "outputs": [], "source": [ @@ -742,7 +742,7 @@ }, { "cell_type": "markdown", - "id": "e47db31b", + "id": "78f93ffc", "metadata": {}, "source": [ "The output file will be the same" @@ -751,7 +751,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6e93da95", + "id": "88972a5e", "metadata": {}, "outputs": [], "source": [ @@ -761,7 +761,7 @@ }, { "cell_type": "markdown", - "id": "1c67f0b5", + "id": "f0ef3aad", "metadata": {}, "source": [ "Suppose we want to continue to write into the existing file \n", @@ -773,7 +773,7 @@ { "cell_type": "code", "execution_count": null, - "id": "946bfdc0", + "id": "a6a84b41", "metadata": {}, "outputs": [], "source": [ @@ -784,7 +784,7 @@ { "cell_type": "code", "execution_count": null, - "id": "29753567", + "id": "9f25355c", "metadata": {}, "outputs": [], "source": [ @@ -794,7 +794,7 @@ }, { "cell_type": "markdown", - "id": "a23fe855", + "id": "d2c8714c", "metadata": {}, "source": [ "```{note}\n", @@ -842,7 +842,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f6e9c536", + "id": "146c355e", "metadata": {}, "outputs": [], "source": [ @@ -860,7 +860,7 @@ }, { "cell_type": "markdown", - "id": "f389647f", + "id": "7362a27c", "metadata": {}, "source": [ "Here `%%writefile` is an [IPython cell magic](https://ipython.readthedocs.io/en/stable/interactive/magics.html#cell-magics).\n", @@ -873,7 +873,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d6263294", + "id": "6d118c90", "metadata": {}, "outputs": [], "source": [ @@ -888,7 +888,7 @@ }, { "cell_type": "markdown", - "id": "7151a8d5", + "id": "80194437", "metadata": {}, "source": [ "Here `format()` is a string method [used for inserting variables into strings](https://docs.python.org/3/library/string.html#formatspec).\n", @@ -915,7 +915,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d1782a13", + "id": "e7d7795c", "metadata": {}, "outputs": [], "source": [ @@ -926,7 +926,7 @@ }, { "cell_type": "markdown", - "id": "15f7747b", + "id": "a38434e4", "metadata": {}, "source": [ "is preferred to" @@ -935,7 +935,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fba83d97", + "id": "c806c593", "metadata": {}, "outputs": [], "source": [ @@ -945,7 +945,7 @@ }, { "cell_type": "markdown", - "id": "ac5a9e76", + "id": "8f2bfe6a", "metadata": {}, "source": [ "When you compare these two alternatives, you can see why the first one is preferred.\n", @@ -960,7 +960,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f035476b", + "id": "8ee847be", "metadata": {}, "outputs": [], "source": [ @@ -972,7 +972,7 @@ }, { "cell_type": "markdown", - "id": "a25c0682", + "id": "ba248252", "metadata": {}, "source": [ "The `zip()` function is also useful for creating dictionaries --- for\n", @@ -982,7 +982,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ac22875b", + "id": "42b6195b", "metadata": {}, "outputs": [], "source": [ @@ -993,7 +993,7 @@ }, { "cell_type": "markdown", - "id": "389ad1b3", + "id": "1a2e377f", "metadata": {}, "source": [ "If we actually need the index from a list, one option is to use `enumerate()`.\n", @@ -1004,7 +1004,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3bee5f1a", + "id": "f81fd3d1", "metadata": {}, "outputs": [], "source": [ @@ -1015,7 +1015,7 @@ }, { "cell_type": "markdown", - "id": "ad2992c9", + "id": "d204860c", "metadata": {}, "source": [ "(list_comprehensions)=\n", @@ -1035,7 +1035,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1139bd1a", + "id": "3420ceb5", "metadata": {}, "outputs": [], "source": [ @@ -1046,7 +1046,7 @@ }, { "cell_type": "markdown", - "id": "e69dcaac", + "id": "2fd5ec84", "metadata": {}, "source": [ "Here's another example" @@ -1055,7 +1055,7 @@ { "cell_type": "code", "execution_count": null, - "id": "89ad802e", + "id": "443988a7", "metadata": {}, "outputs": [], "source": [ @@ -1065,7 +1065,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7fc58eb5", + "id": "bb9c85fa", "metadata": {}, "outputs": [], "source": [ @@ -1075,7 +1075,7 @@ }, { "cell_type": "markdown", - "id": "9dd26a32", + "id": "688dafc4", "metadata": {}, "source": [ "## Comparisons and Logical Operators\n", @@ -1093,7 +1093,7 @@ { "cell_type": "code", "execution_count": null, - "id": "acccfb03", + "id": "f16b8dc7", "metadata": {}, "outputs": [], "source": [ @@ -1104,7 +1104,7 @@ { "cell_type": "code", "execution_count": null, - "id": "08b1fdfb", + "id": "d633bdf5", "metadata": {}, "outputs": [], "source": [ @@ -1113,7 +1113,7 @@ }, { "cell_type": "markdown", - "id": "1a2d7352", + "id": "00061f82", "metadata": {}, "source": [ "One of the nice features of Python is that we can *chain* inequalities" @@ -1122,7 +1122,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8c76b830", + "id": "d7fd686c", "metadata": {}, "outputs": [], "source": [ @@ -1132,7 +1132,7 @@ { "cell_type": "code", "execution_count": null, - "id": "039c4011", + "id": "b9b30579", "metadata": {}, "outputs": [], "source": [ @@ -1141,7 +1141,7 @@ }, { "cell_type": "markdown", - "id": "77cf1337", + "id": "9706fcd7", "metadata": {}, "source": [ "As we saw earlier, when testing for equality we use `==`" @@ -1150,7 +1150,7 @@ { "cell_type": "code", "execution_count": null, - "id": "38daa82d", + "id": "44dba4bc", "metadata": {}, "outputs": [], "source": [ @@ -1160,7 +1160,7 @@ }, { "cell_type": "markdown", - "id": "15bdcee6", + "id": "f4a86f19", "metadata": {}, "source": [ "For \"not equal\" use `!=`" @@ -1169,7 +1169,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8c6ae684", + "id": "0eb810a3", "metadata": {}, "outputs": [], "source": [ @@ -1178,7 +1178,7 @@ }, { "cell_type": "markdown", - "id": "bcdc5491", + "id": "3809ad93", "metadata": {}, "source": [ "Note that when testing conditions, we can use **any** valid Python expression" @@ -1187,7 +1187,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c46d8ae0", + "id": "fd4400f9", "metadata": {}, "outputs": [], "source": [ @@ -1198,7 +1198,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4a2c90bc", + "id": "ec689c03", "metadata": {}, "outputs": [], "source": [ @@ -1208,7 +1208,7 @@ }, { "cell_type": "markdown", - "id": "6fe8748a", + "id": "c3e015a2", "metadata": {}, "source": [ "What's going on here?\n", @@ -1233,7 +1233,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e396495d", + "id": "3458bfb0", "metadata": {}, "outputs": [], "source": [ @@ -1243,7 +1243,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6aaf5d0c", + "id": "16d5b4f2", "metadata": {}, "outputs": [], "source": [ @@ -1253,7 +1253,7 @@ { "cell_type": "code", "execution_count": null, - "id": "05f82382", + "id": "cc06aa07", "metadata": {}, "outputs": [], "source": [ @@ -1263,7 +1263,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7139eed4", + "id": "c63b69a6", "metadata": {}, "outputs": [], "source": [ @@ -1273,7 +1273,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6a67a2d9", + "id": "63661272", "metadata": {}, "outputs": [], "source": [ @@ -1282,7 +1282,7 @@ }, { "cell_type": "markdown", - "id": "af596af9", + "id": "e78c45ff", "metadata": {}, "source": [ "Remember\n", @@ -1296,7 +1296,7 @@ { "cell_type": "code", "execution_count": null, - "id": "60bbbe40", + "id": "1f3f5519", "metadata": {}, "outputs": [], "source": [ @@ -1306,7 +1306,7 @@ { "cell_type": "code", "execution_count": null, - "id": "09e585cb", + "id": "73ce8c07", "metadata": {}, "outputs": [], "source": [ @@ -1316,7 +1316,7 @@ { "cell_type": "code", "execution_count": null, - "id": "05b957bc", + "id": "9465d586", "metadata": {}, "outputs": [], "source": [ @@ -1325,7 +1325,7 @@ }, { "cell_type": "markdown", - "id": "5143ca29", + "id": "596d2193", "metadata": {}, "source": [ "```{note}\n", @@ -1375,7 +1375,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4421efbf", + "id": "b4042eba", "metadata": {}, "outputs": [], "source": [ @@ -1388,7 +1388,7 @@ }, { "cell_type": "markdown", - "id": "6ea97d74", + "id": "69d44aeb", "metadata": {}, "source": [ "After running this code, the docstring is available" @@ -1397,7 +1397,7 @@ { "cell_type": "code", "execution_count": null, - "id": "53c08a21", + "id": "dbed70cf", "metadata": {}, "outputs": [], "source": [ @@ -1406,7 +1406,7 @@ }, { "cell_type": "markdown", - "id": "6598e0b5", + "id": "b74e849c", "metadata": {}, "source": [ "```{code-block} ipython\n", @@ -1423,7 +1423,7 @@ { "cell_type": "code", "execution_count": null, - "id": "818fcf27", + "id": "d06aadd2", "metadata": {}, "outputs": [], "source": [ @@ -1432,7 +1432,7 @@ }, { "cell_type": "markdown", - "id": "008740dd", + "id": "c9f95170", "metadata": {}, "source": [ "```{code-block} ipython\n", @@ -1494,7 +1494,7 @@ { "cell_type": "code", "execution_count": null, - "id": "099090d5", + "id": "7d702d0e", "metadata": {}, "outputs": [], "source": [ @@ -1505,7 +1505,7 @@ }, { "cell_type": "markdown", - "id": "f9b7aaa8", + "id": "d57f310c", "metadata": {}, "source": [ "This also works" @@ -1514,7 +1514,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8b4c505a", + "id": "506675e9", "metadata": {}, "outputs": [], "source": [ @@ -1523,7 +1523,7 @@ }, { "cell_type": "markdown", - "id": "653f7143", + "id": "4f4f0c3e", "metadata": {}, "source": [ "**Part 2 Solution:**\n", @@ -1534,7 +1534,7 @@ { "cell_type": "code", "execution_count": null, - "id": "05d5bd8e", + "id": "4f02ba03", "metadata": {}, "outputs": [], "source": [ @@ -1543,7 +1543,7 @@ }, { "cell_type": "markdown", - "id": "7a1b1ad1", + "id": "400aef5e", "metadata": {}, "source": [ "This also works:" @@ -1552,7 +1552,7 @@ { "cell_type": "code", "execution_count": null, - "id": "51fc9891", + "id": "f3d9e4a1", "metadata": {}, "outputs": [], "source": [ @@ -1561,7 +1561,7 @@ }, { "cell_type": "markdown", - "id": "6c86af9d", + "id": "d2ad3ae2", "metadata": {}, "source": [ "Some less natural alternatives that nonetheless help to illustrate the\n", @@ -1571,7 +1571,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c7f4212a", + "id": "39817297", "metadata": {}, "outputs": [], "source": [ @@ -1580,7 +1580,7 @@ }, { "cell_type": "markdown", - "id": "4cd9d897", + "id": "4b680208", "metadata": {}, "source": [ "and" @@ -1589,7 +1589,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bb94c262", + "id": "4713b030", "metadata": {}, "outputs": [], "source": [ @@ -1598,7 +1598,7 @@ }, { "cell_type": "markdown", - "id": "6aabfd56", + "id": "5b79edb2", "metadata": {}, "source": [ "**Part 3 Solution:**\n", @@ -1609,7 +1609,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1129639e", + "id": "386935a2", "metadata": {}, "outputs": [], "source": [ @@ -1619,7 +1619,7 @@ }, { "cell_type": "markdown", - "id": "f8cf157a", + "id": "4f22f5a8", "metadata": {}, "source": [ "```{solution-end}\n", @@ -1655,7 +1655,7 @@ { "cell_type": "code", "execution_count": null, - "id": "58016406", + "id": "7f601371", "metadata": {}, "outputs": [], "source": [ @@ -1666,7 +1666,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b7d5e1cb", + "id": "3b9c0641", "metadata": {}, "outputs": [], "source": [ @@ -1675,7 +1675,7 @@ }, { "cell_type": "markdown", - "id": "9f924acf", + "id": "31c46443", "metadata": {}, "source": [ "```{solution-end}\n", @@ -1708,7 +1708,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0034b2b8", + "id": "3e263be4", "metadata": {}, "outputs": [], "source": [ @@ -1724,7 +1724,7 @@ }, { "cell_type": "markdown", - "id": "d03b977e", + "id": "d27348b6", "metadata": {}, "source": [ "An alternative, more pythonic solution:" @@ -1733,7 +1733,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7431da7a", + "id": "963105ed", "metadata": {}, "outputs": [], "source": [ @@ -1745,7 +1745,7 @@ }, { "cell_type": "markdown", - "id": "52c588f9", + "id": "37812fb3", "metadata": {}, "source": [ "```{solution-end}\n", @@ -1774,7 +1774,7 @@ { "cell_type": "code", "execution_count": null, - "id": "82408298", + "id": "c34c3372", "metadata": {}, "outputs": [], "source": [ @@ -1793,7 +1793,7 @@ }, { "cell_type": "markdown", - "id": "4f8348f7", + "id": "82b520dd", "metadata": {}, "source": [ "An alternative, more pythonic solution using `all()`:" @@ -1802,7 +1802,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2437f423", + "id": "885d4ca2", "metadata": {}, "outputs": [], "source": [ @@ -1818,7 +1818,7 @@ }, { "cell_type": "markdown", - "id": "dfd577ac", + "id": "dfaa370a", "metadata": {}, "source": [ "Of course, if we use the `sets` data type then the solution is easier" @@ -1827,7 +1827,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0795452b", + "id": "2c1b7762", "metadata": {}, "outputs": [], "source": [ @@ -1837,7 +1837,7 @@ }, { "cell_type": "markdown", - "id": "b87d8bd3", + "id": "639557b2", "metadata": {}, "source": [ "```{solution-end}\n", @@ -1873,7 +1873,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b305e964", + "id": "95bcb5ed", "metadata": {}, "outputs": [], "source": [ @@ -1915,7 +1915,7 @@ }, { "cell_type": "markdown", - "id": "45812f58", + "id": "11a2fbe9", "metadata": {}, "source": [ "```{solution-end}\n", @@ -1933,7 +1933,7 @@ { "cell_type": "code", "execution_count": null, - "id": "af2734d1", + "id": "19ec89d4", "metadata": {}, "outputs": [], "source": [ @@ -1948,7 +1948,7 @@ }, { "cell_type": "markdown", - "id": "d09012d8", + "id": "c0ee62dc", "metadata": {}, "source": [ "```{exercise-end}\n", @@ -1964,7 +1964,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cee097a2", + "id": "54be98e8", "metadata": {}, "outputs": [], "source": [ @@ -1974,7 +1974,7 @@ }, { "cell_type": "markdown", - "id": "30367183", + "id": "19725824", "metadata": {}, "source": [ "```{solution-end}\n", diff --git a/_sources/python_oop.ipynb b/_sources/python_oop.ipynb index 61d418e6..2b78e9df 100644 --- a/_sources/python_oop.ipynb +++ b/_sources/python_oop.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "e11e58cd", + "id": "f4cc7078", "metadata": {}, "source": [ "(python_oop)=\n", @@ -60,7 +60,7 @@ { "cell_type": "code", "execution_count": null, - "id": "adb1c718", + "id": "b884da4b", "metadata": {}, "outputs": [], "source": [ @@ -72,7 +72,7 @@ }, { "cell_type": "markdown", - "id": "b4e6dae2", + "id": "e248d12a", "metadata": {}, "source": [ "## OOP Review\n", @@ -99,7 +99,7 @@ { "cell_type": "code", "execution_count": null, - "id": "77db0874", + "id": "2e5a5685", "metadata": {}, "outputs": [], "source": [ @@ -110,7 +110,7 @@ }, { "cell_type": "markdown", - "id": "fda2cc37", + "id": "1516df07", "metadata": {}, "source": [ "As we now know, `sort` is a function that is \"part of\" the list object --- and hence called a *method*.\n", @@ -142,7 +142,7 @@ { "cell_type": "code", "execution_count": null, - "id": "33e3369b", + "id": "3e423c89", "metadata": {}, "outputs": [], "source": [ @@ -153,7 +153,7 @@ }, { "cell_type": "markdown", - "id": "91e9eb2c", + "id": "6c6b58f1", "metadata": {}, "source": [ "* `x` is an object or instance, created from the definition for Python lists, but with its own particular data.\n", @@ -195,7 +195,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0811232d", + "id": "3111e552", "metadata": {}, "outputs": [], "source": [ @@ -214,7 +214,7 @@ }, { "cell_type": "markdown", - "id": "29d6a7a8", + "id": "9b8bddad", "metadata": {}, "source": [ "The `earn` function takes a consumer's initial wealth $w$ and adds to it her current earnings $y$.\n", @@ -229,7 +229,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d20c0aca", + "id": "2ac39a7c", "metadata": {}, "outputs": [], "source": [ @@ -243,7 +243,7 @@ }, { "cell_type": "markdown", - "id": "face976f", + "id": "f39a118a", "metadata": {}, "source": [ "A *Class* bundles a set of data tied to a particular *instance* together with a collection of functions that operate on the data.\n", @@ -274,7 +274,7 @@ { "cell_type": "code", "execution_count": null, - "id": "69ac8511", + "id": "2b498a12", "metadata": {}, "outputs": [], "source": [ @@ -299,7 +299,7 @@ }, { "cell_type": "markdown", - "id": "601a5cee", + "id": "09f66377", "metadata": {}, "source": [ "There's some special syntax here so let's step through carefully\n", @@ -330,7 +330,7 @@ { "cell_type": "code", "execution_count": null, - "id": "78bf0d61", + "id": "0ec22014", "metadata": {}, "outputs": [], "source": [ @@ -342,7 +342,7 @@ { "cell_type": "code", "execution_count": null, - "id": "844654da", + "id": "fee8d672", "metadata": {}, "outputs": [], "source": [ @@ -352,7 +352,7 @@ }, { "cell_type": "markdown", - "id": "592c0781", + "id": "bdd0d6d7", "metadata": {}, "source": [ "We can of course create multiple instances, i.e., multiple consumers, each with its own name and data" @@ -361,7 +361,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ec1d612c", + "id": "0163be45", "metadata": {}, "outputs": [], "source": [ @@ -374,7 +374,7 @@ { "cell_type": "code", "execution_count": null, - "id": "32df59f6", + "id": "e2c2a6ad", "metadata": {}, "outputs": [], "source": [ @@ -383,7 +383,7 @@ }, { "cell_type": "markdown", - "id": "daf6589e", + "id": "5085677c", "metadata": {}, "source": [ "Each instance, i.e., each consumer, stores its data in a separate namespace dictionary" @@ -392,7 +392,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ea8dfb32", + "id": "d41a2b83", "metadata": {}, "outputs": [], "source": [ @@ -402,7 +402,7 @@ { "cell_type": "code", "execution_count": null, - "id": "84c6c0d2", + "id": "7de0cfa5", "metadata": {}, "outputs": [], "source": [ @@ -411,7 +411,7 @@ }, { "cell_type": "markdown", - "id": "659d19f7", + "id": "bb5d2203", "metadata": {}, "source": [ "When we access or set attributes we're actually just modifying the dictionary\n", @@ -446,7 +446,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7c7a155a", + "id": "727495b2", "metadata": {}, "outputs": [], "source": [ @@ -455,7 +455,7 @@ }, { "cell_type": "markdown", - "id": "7631fabb", + "id": "0a08e574", "metadata": {}, "source": [ "Note how the three methods `__init__`, `earn` and `spend` are stored in the class object.\n", @@ -466,7 +466,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ceda2ea0", + "id": "001328ff", "metadata": {}, "outputs": [], "source": [ @@ -477,7 +477,7 @@ }, { "cell_type": "markdown", - "id": "955ecf74", + "id": "3f5c66fe", "metadata": {}, "source": [ "When you call `earn` via `c1.earn(10)` the interpreter passes the instance `c1` and the argument `10` to `Consumer.earn`.\n", @@ -495,7 +495,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e643b6de", + "id": "da18fcdf", "metadata": {}, "outputs": [], "source": [ @@ -506,7 +506,7 @@ }, { "cell_type": "markdown", - "id": "7df4636e", + "id": "4789143a", "metadata": {}, "source": [ "The end result is that `self` is bound to the instance `c1` inside the function call.\n", @@ -555,7 +555,7 @@ { "cell_type": "code", "execution_count": null, - "id": "528a03bc", + "id": "3d6d0a32", "metadata": {}, "outputs": [], "source": [ @@ -605,7 +605,7 @@ }, { "cell_type": "markdown", - "id": "018b1331", + "id": "e3623b7b", "metadata": {}, "source": [ "Here's a little program that uses the class to compute time series from two different initial conditions.\n", @@ -616,7 +616,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c1f5a630", + "id": "dac67f22", "metadata": {}, "outputs": [], "source": [ @@ -642,7 +642,7 @@ }, { "cell_type": "markdown", - "id": "f0a110ed", + "id": "e1c79ce9", "metadata": {}, "source": [ "### Example: A Market\n", @@ -669,7 +669,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c42725ac", + "id": "3327baa1", "metadata": {}, "outputs": [], "source": [ @@ -728,7 +728,7 @@ }, { "cell_type": "markdown", - "id": "4e864a36", + "id": "6b44e5f1", "metadata": {}, "source": [ "Here's a sample of usage" @@ -737,7 +737,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6b22a535", + "id": "9846dc99", "metadata": {}, "outputs": [], "source": [ @@ -749,7 +749,7 @@ { "cell_type": "code", "execution_count": null, - "id": "adf412f7", + "id": "f7777138", "metadata": {}, "outputs": [], "source": [ @@ -758,7 +758,7 @@ }, { "cell_type": "markdown", - "id": "5995f24c", + "id": "5641a839", "metadata": {}, "source": [ "Here's a short program that uses this class to plot an inverse demand curve together with inverse\n", @@ -768,7 +768,7 @@ { "cell_type": "code", "execution_count": null, - "id": "acc0c850", + "id": "c42c9663", "metadata": {}, "outputs": [], "source": [ @@ -795,7 +795,7 @@ }, { "cell_type": "markdown", - "id": "ebc07b84", + "id": "6b9b637e", "metadata": {}, "source": [ "The next program provides a function that\n", @@ -807,7 +807,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e638a15f", + "id": "a3ebbdee", "metadata": {}, "outputs": [], "source": [ @@ -823,7 +823,7 @@ }, { "cell_type": "markdown", - "id": "abbdb731", + "id": "7776c3e1", "metadata": {}, "source": [ "Here's an example of usage" @@ -832,7 +832,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ccc15edb", + "id": "930d16ef", "metadata": {}, "outputs": [], "source": [ @@ -843,7 +843,7 @@ }, { "cell_type": "markdown", - "id": "5d04fbe2", + "id": "b5901c6a", "metadata": {}, "source": [ "### Example: Chaos\n", @@ -868,7 +868,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9493babb", + "id": "6ce19a32", "metadata": {}, "outputs": [], "source": [ @@ -897,7 +897,7 @@ }, { "cell_type": "markdown", - "id": "1a6ab356", + "id": "6c0bc605", "metadata": {}, "source": [ "Here's an example of usage" @@ -906,7 +906,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9667cf74", + "id": "34518664", "metadata": {}, "outputs": [], "source": [ @@ -916,7 +916,7 @@ }, { "cell_type": "markdown", - "id": "593599b6", + "id": "dbc1f445", "metadata": {}, "source": [ "This piece of code plots a longer trajectory" @@ -925,7 +925,7 @@ { "cell_type": "code", "execution_count": null, - "id": "20428700", + "id": "9d3176e6", "metadata": {}, "outputs": [], "source": [ @@ -942,7 +942,7 @@ }, { "cell_type": "markdown", - "id": "bbc23f08", + "id": "4e28a457", "metadata": {}, "source": [ "The next piece of code provides a bifurcation diagram" @@ -951,7 +951,7 @@ { "cell_type": "code", "execution_count": null, - "id": "32f00038", + "id": "a6c57c8b", "metadata": {}, "outputs": [], "source": [ @@ -971,7 +971,7 @@ }, { "cell_type": "markdown", - "id": "419f9dcb", + "id": "34ef254a", "metadata": {}, "source": [ "On the horizontal axis is the parameter $r$ in {eq}`quadmap2`.\n", @@ -1007,7 +1007,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8677485a", + "id": "13e00a13", "metadata": {}, "outputs": [], "source": [ @@ -1017,7 +1017,7 @@ }, { "cell_type": "markdown", - "id": "76ce64f3", + "id": "507cadbe", "metadata": {}, "source": [ "If you want to provide a return value for the `len` function when applied to\n", @@ -1027,7 +1027,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b0352b30", + "id": "81f7f54b", "metadata": {}, "outputs": [], "source": [ @@ -1039,7 +1039,7 @@ }, { "cell_type": "markdown", - "id": "028ce208", + "id": "f28b9e33", "metadata": {}, "source": [ "Now we get" @@ -1048,7 +1048,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e982ff2f", + "id": "2fc42f12", "metadata": {}, "outputs": [], "source": [ @@ -1058,7 +1058,7 @@ }, { "cell_type": "markdown", - "id": "0f3d44eb", + "id": "64ad985b", "metadata": {}, "source": [ "(call_method)=\n", @@ -1070,7 +1070,7 @@ { "cell_type": "code", "execution_count": null, - "id": "651f9e49", + "id": "fa24ab7d", "metadata": {}, "outputs": [], "source": [ @@ -1082,7 +1082,7 @@ }, { "cell_type": "markdown", - "id": "20630c3f", + "id": "cd9a37cc", "metadata": {}, "source": [ "After running we get" @@ -1091,7 +1091,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a9ec0e58", + "id": "5531d378", "metadata": {}, "outputs": [], "source": [ @@ -1101,7 +1101,7 @@ }, { "cell_type": "markdown", - "id": "4e859566", + "id": "61967438", "metadata": {}, "source": [ "Exercise 1 provides a more useful example.\n", @@ -1163,7 +1163,7 @@ { "cell_type": "code", "execution_count": null, - "id": "adab9bbe", + "id": "7344a617", "metadata": {}, "outputs": [], "source": [ @@ -1183,7 +1183,7 @@ { "cell_type": "code", "execution_count": null, - "id": "98dc6564", + "id": "f65ca5ec", "metadata": {}, "outputs": [], "source": [ @@ -1203,7 +1203,7 @@ }, { "cell_type": "markdown", - "id": "a1891cf2", + "id": "0968ab0b", "metadata": {}, "source": [ "```{solution-end}\n", @@ -1245,7 +1245,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4d871fb6", + "id": "4f633433", "metadata": {}, "outputs": [], "source": [ @@ -1282,7 +1282,7 @@ }, { "cell_type": "markdown", - "id": "1e48f5ee", + "id": "91222ef7", "metadata": {}, "source": [ "```{solution-end}\n", diff --git a/_sources/scipy.ipynb b/_sources/scipy.ipynb index 8f3fab6a..8386a25b 100644 --- a/_sources/scipy.ipynb +++ b/_sources/scipy.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "ded2c3d6", + "id": "c81447e2", "metadata": {}, "source": [ "(sp)=\n", @@ -55,7 +55,7 @@ { "cell_type": "code", "execution_count": null, - "id": "65762af6", + "id": "64de6beb", "metadata": {}, "outputs": [], "source": [ @@ -68,7 +68,7 @@ }, { "cell_type": "markdown", - "id": "8f9c4574", + "id": "eb2766c4", "metadata": {}, "source": [ "However, it's more common and better practice to use NumPy functionality explicitly." @@ -77,7 +77,7 @@ { "cell_type": "code", "execution_count": null, - "id": "89f138d1", + "id": "def943cb", "metadata": {}, "outputs": [], "source": [ @@ -88,7 +88,7 @@ }, { "cell_type": "markdown", - "id": "bd7aef41", + "id": "765f36e9", "metadata": {}, "source": [ "What is useful in SciPy is the functionality in its sub-packages\n", @@ -116,7 +116,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2ad2ff3c", + "id": "0dc279c9", "metadata": {}, "outputs": [], "source": [ @@ -125,7 +125,7 @@ }, { "cell_type": "markdown", - "id": "da42cdb1", + "id": "d692f832", "metadata": {}, "source": [ "This generates a draw from the distribution with the density function below when `a, b = 5, 5`\n", @@ -148,7 +148,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5ee0be17", + "id": "bd656bb9", "metadata": {}, "outputs": [], "source": [ @@ -169,7 +169,7 @@ }, { "cell_type": "markdown", - "id": "15030e60", + "id": "69e9757a", "metadata": {}, "source": [ "The object `q` that represents the distribution has additional useful methods, including" @@ -178,7 +178,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3f45d9b6", + "id": "6869efd4", "metadata": {}, "outputs": [], "source": [ @@ -188,7 +188,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c1f19c7c", + "id": "6db85158", "metadata": {}, "outputs": [], "source": [ @@ -198,7 +198,7 @@ { "cell_type": "code", "execution_count": null, - "id": "306bef69", + "id": "cd0d3700", "metadata": {}, "outputs": [], "source": [ @@ -207,7 +207,7 @@ }, { "cell_type": "markdown", - "id": "c408b84b", + "id": "0e673349", "metadata": {}, "source": [ "The general syntax for creating these objects that represent distributions (of type `rv_frozen`) is\n", @@ -229,7 +229,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2ce0f16c", + "id": "9e7cae5b", "metadata": {}, "outputs": [], "source": [ @@ -244,7 +244,7 @@ }, { "cell_type": "markdown", - "id": "f88ea150", + "id": "d7a20d59", "metadata": {}, "source": [ "### Other Goodies in scipy.stats\n", @@ -257,7 +257,7 @@ { "cell_type": "code", "execution_count": null, - "id": "de00d2d5", + "id": "f534e57f", "metadata": {}, "outputs": [], "source": [ @@ -271,7 +271,7 @@ }, { "cell_type": "markdown", - "id": "5181d98c", + "id": "075e2359", "metadata": {}, "source": [ "To see the full list, consult the [documentation](https://docs.scipy.org/doc/scipy/reference/stats.html#statistical-functions-scipy-stats).\n", @@ -294,7 +294,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ebcfb1b0", + "id": "32fe4f05", "metadata": {}, "outputs": [], "source": [ @@ -312,7 +312,7 @@ }, { "cell_type": "markdown", - "id": "a869f0a7", + "id": "e8ce14e7", "metadata": {}, "source": [ "The unique root is approximately 0.408.\n", @@ -347,7 +347,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ec933a18", + "id": "c213e9cc", "metadata": {}, "outputs": [], "source": [ @@ -370,7 +370,7 @@ }, { "cell_type": "markdown", - "id": "83e9c44f", + "id": "ba342879", "metadata": {}, "source": [ "Let's test it using the function $f$ defined in {eq}`root_f`" @@ -379,7 +379,7 @@ { "cell_type": "code", "execution_count": null, - "id": "45075299", + "id": "c5706814", "metadata": {}, "outputs": [], "source": [ @@ -388,7 +388,7 @@ }, { "cell_type": "markdown", - "id": "633aa72d", + "id": "2c53370c", "metadata": {}, "source": [ "Not surprisingly, SciPy provides its own bisection function.\n", @@ -399,7 +399,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2cdd4805", + "id": "e96a7071", "metadata": {}, "outputs": [], "source": [ @@ -410,7 +410,7 @@ }, { "cell_type": "markdown", - "id": "972d9004", + "id": "7d112c03", "metadata": {}, "source": [ "### The {index}`Newton-Raphson Method `\n", @@ -432,7 +432,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cc7ba128", + "id": "3bdf0397", "metadata": {}, "outputs": [], "source": [ @@ -443,7 +443,7 @@ }, { "cell_type": "markdown", - "id": "5636395d", + "id": "184b2e67", "metadata": {}, "source": [ "But other initial conditions lead to failure of convergence:" @@ -452,7 +452,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2168d04b", + "id": "0462527e", "metadata": {}, "outputs": [], "source": [ @@ -461,7 +461,7 @@ }, { "cell_type": "markdown", - "id": "dfe7908c", + "id": "69031efa", "metadata": {}, "source": [ "### Hybrid Methods\n", @@ -485,7 +485,7 @@ { "cell_type": "code", "execution_count": null, - "id": "64cd9582", + "id": "607d98da", "metadata": {}, "outputs": [], "source": [ @@ -496,7 +496,7 @@ }, { "cell_type": "markdown", - "id": "d3f84397", + "id": "f18965b7", "metadata": {}, "source": [ "Here the correct solution is found and the speed is better than bisection:" @@ -505,7 +505,7 @@ { "cell_type": "code", "execution_count": null, - "id": "04a02f2b", + "id": "62c4d73c", "metadata": {}, "outputs": [], "source": [ @@ -515,7 +515,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ac10c130", + "id": "a9571d06", "metadata": {}, "outputs": [], "source": [ @@ -524,7 +524,7 @@ }, { "cell_type": "markdown", - "id": "cdd4a5aa", + "id": "59be12ed", "metadata": {}, "source": [ "### Multivariate Root-Finding\n", @@ -549,7 +549,7 @@ { "cell_type": "code", "execution_count": null, - "id": "51fa831a", + "id": "9fd2c360", "metadata": {}, "outputs": [], "source": [ @@ -560,7 +560,7 @@ }, { "cell_type": "markdown", - "id": "ae6c3ebd", + "id": "fd275829", "metadata": {}, "source": [ "If you don't get good results, you can always switch back to the `brentq` root finder, since\n", @@ -588,7 +588,7 @@ { "cell_type": "code", "execution_count": null, - "id": "afcaa0d8", + "id": "383ef2c6", "metadata": {}, "outputs": [], "source": [ @@ -599,7 +599,7 @@ }, { "cell_type": "markdown", - "id": "2aa24dd1", + "id": "bd141284", "metadata": {}, "source": [ "### Multivariate Optimization\n", @@ -630,7 +630,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ffe13def", + "id": "ae11feb9", "metadata": {}, "outputs": [], "source": [ @@ -642,7 +642,7 @@ }, { "cell_type": "markdown", - "id": "2fd81aab", + "id": "659b2a91", "metadata": {}, "source": [ "In fact, `quad` is an interface to a very standard numerical integration routine in the Fortran library QUADPACK.\n", @@ -728,7 +728,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f1a53cb8", + "id": "bd441e9c", "metadata": {}, "outputs": [], "source": [ @@ -751,7 +751,7 @@ }, { "cell_type": "markdown", - "id": "78ebe6d3", + "id": "6bf8ed78", "metadata": {}, "source": [ "```{solution-end}\n", @@ -772,7 +772,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9069859e", + "id": "b34f9f53", "metadata": {}, "outputs": [], "source": [ @@ -782,7 +782,7 @@ }, { "cell_type": "markdown", - "id": "93807eaa", + "id": "58943216", "metadata": {}, "source": [ "```{solution-end}\n", @@ -816,7 +816,7 @@ { "cell_type": "code", "execution_count": null, - "id": "81ad4616", + "id": "b7590f02", "metadata": {}, "outputs": [], "source": [ @@ -829,7 +829,7 @@ }, { "cell_type": "markdown", - "id": "56db8b62", + "id": "adc85475", "metadata": {}, "source": [ "```{solution-end}\n", @@ -857,7 +857,7 @@ { "cell_type": "code", "execution_count": null, - "id": "963f7631", + "id": "a7e12f3b", "metadata": {}, "outputs": [], "source": [ @@ -880,7 +880,7 @@ }, { "cell_type": "markdown", - "id": "eba78cba", + "id": "97826b27", "metadata": {}, "source": [ "We can test it as follows" @@ -889,7 +889,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b22d9fdf", + "id": "0ef06d8d", "metadata": {}, "outputs": [], "source": [ @@ -899,7 +899,7 @@ }, { "cell_type": "markdown", - "id": "a9bcaaaf", + "id": "4e131a9d", "metadata": {}, "source": [ "```{solution-end}\n", diff --git a/_sources/status.ipynb b/_sources/status.ipynb index a1010f2e..2b735477 100644 --- a/_sources/status.ipynb +++ b/_sources/status.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "45e050f5", + "id": "60e87d7f", "metadata": {}, "source": [ "# Execution Statistics\n", diff --git a/_sources/sympy.ipynb b/_sources/sympy.ipynb index 29b13598..41076791 100644 --- a/_sources/sympy.ipynb +++ b/_sources/sympy.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "0532d543", + "id": "9c7ab320", "metadata": {}, "source": [ "(sympy)=\n", @@ -48,7 +48,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ecf3757c", + "id": "da12f640", "metadata": {}, "outputs": [], "source": [ @@ -66,7 +66,7 @@ }, { "cell_type": "markdown", - "id": "0a378668", + "id": "511c110b", "metadata": {}, "source": [ "## Symbolic algebra\n", @@ -79,7 +79,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f3ce624d", + "id": "dad3054c", "metadata": {}, "outputs": [], "source": [ @@ -88,7 +88,7 @@ }, { "cell_type": "markdown", - "id": "0a8b6c3c", + "id": "7420f909", "metadata": {}, "source": [ "Symbols are the basic units for symbolic computation in SymPy.\n", @@ -103,7 +103,7 @@ { "cell_type": "code", "execution_count": null, - "id": "71d47589", + "id": "edd7217d", "metadata": {}, "outputs": [], "source": [ @@ -113,7 +113,7 @@ }, { "cell_type": "markdown", - "id": "c0cd5285", + "id": "0756ab0c", "metadata": {}, "source": [ "We can expand this expression with the `expand` function" @@ -122,7 +122,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d7b69664", + "id": "d62e2f4b", "metadata": {}, "outputs": [], "source": [ @@ -132,7 +132,7 @@ }, { "cell_type": "markdown", - "id": "01f620e3", + "id": "d0eda385", "metadata": {}, "source": [ "and factorize it back to the factored form with the `factor` function" @@ -141,7 +141,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7480496c", + "id": "a2928cb4", "metadata": {}, "outputs": [], "source": [ @@ -150,7 +150,7 @@ }, { "cell_type": "markdown", - "id": "1e64996d", + "id": "4d6fccef", "metadata": {}, "source": [ "We can solve this expression" @@ -159,7 +159,7 @@ { "cell_type": "code", "execution_count": null, - "id": "553625ea", + "id": "7f24eddc", "metadata": {}, "outputs": [], "source": [ @@ -168,7 +168,7 @@ }, { "cell_type": "markdown", - "id": "f89520ea", + "id": "0b1fac5e", "metadata": {}, "source": [ "Note this is equivalent to solving the following equation for `x`\n", @@ -193,7 +193,7 @@ { "cell_type": "code", "execution_count": null, - "id": "74f13f8b", + "id": "67abe554", "metadata": {}, "outputs": [], "source": [ @@ -203,7 +203,7 @@ }, { "cell_type": "markdown", - "id": "63ccbcb7", + "id": "f68dda83", "metadata": {}, "source": [ "Solving this equation with respect to $x$ gives the same output as solving the expression directly" @@ -212,7 +212,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2b7ff278", + "id": "ff3a79c1", "metadata": {}, "outputs": [], "source": [ @@ -221,7 +221,7 @@ }, { "cell_type": "markdown", - "id": "6066fc4e", + "id": "839b47e9", "metadata": {}, "source": [ "SymPy can handle equations with multiple solutions" @@ -230,7 +230,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2ab982f7", + "id": "596ec5f1", "metadata": {}, "outputs": [], "source": [ @@ -240,7 +240,7 @@ }, { "cell_type": "markdown", - "id": "04167058", + "id": "ef48190b", "metadata": {}, "source": [ "`solve` function can also combine multiple equations together and solve a system of equations" @@ -249,7 +249,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2b9a8833", + "id": "2d87342d", "metadata": {}, "outputs": [], "source": [ @@ -260,7 +260,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f6c7ca5a", + "id": "fe19193d", "metadata": {}, "outputs": [], "source": [ @@ -269,7 +269,7 @@ }, { "cell_type": "markdown", - "id": "5a4fb546", + "id": "006da14a", "metadata": {}, "source": [ "We can also solve for the value of $y$ by simply substituting $x$ with $y$" @@ -278,7 +278,7 @@ { "cell_type": "code", "execution_count": null, - "id": "194a2348", + "id": "1c7d96cd", "metadata": {}, "outputs": [], "source": [ @@ -289,7 +289,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d1c92934", + "id": "23dcb045", "metadata": {}, "outputs": [], "source": [ @@ -298,7 +298,7 @@ }, { "cell_type": "markdown", - "id": "7a852d74", + "id": "338943ac", "metadata": {}, "source": [ "Below is another example equation with the symbol `x` and functions `sin`, `cos`, and `tan` using the `Eq` function" @@ -307,7 +307,7 @@ { "cell_type": "code", "execution_count": null, - "id": "366b091b", + "id": "fb798ed0", "metadata": {}, "outputs": [], "source": [ @@ -318,7 +318,7 @@ }, { "cell_type": "markdown", - "id": "6196575c", + "id": "eb7221a2", "metadata": {}, "source": [ "Now we simplify this equation using the `simplify` function" @@ -327,7 +327,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8c21496e", + "id": "f78af5c9", "metadata": {}, "outputs": [], "source": [ @@ -338,7 +338,7 @@ }, { "cell_type": "markdown", - "id": "a9e664d6", + "id": "bed894d1", "metadata": {}, "source": [ "Again, we use the `solve` function to solve this equation" @@ -347,7 +347,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ded28566", + "id": "300112e3", "metadata": {}, "outputs": [], "source": [ @@ -358,7 +358,7 @@ }, { "cell_type": "markdown", - "id": "a2d55b6f", + "id": "21129279", "metadata": {}, "source": [ "SymPy can also handle more complex equations involving trigonometry and complex numbers.\n", @@ -369,7 +369,7 @@ { "cell_type": "code", "execution_count": null, - "id": "05ada4c0", + "id": "440b3a8d", "metadata": {}, "outputs": [], "source": [ @@ -381,7 +381,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bf266124", + "id": "dec73309", "metadata": {}, "outputs": [], "source": [ @@ -390,7 +390,7 @@ }, { "cell_type": "markdown", - "id": "74660608", + "id": "29a1f56f", "metadata": {}, "source": [ "If you are interested, we encourage you to read the lecture on [trigonometry and complex numbers](https://python.quantecon.org/complex_and_trig.html).\n", @@ -421,7 +421,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ab3f4041", + "id": "d2302fb8", "metadata": {}, "outputs": [], "source": [ @@ -430,7 +430,7 @@ }, { "cell_type": "markdown", - "id": "b8ea5fce", + "id": "66340f5c", "metadata": {}, "source": [ "Now we solve for the fixed point $k^*$\n", @@ -443,7 +443,7 @@ { "cell_type": "code", "execution_count": null, - "id": "32dfb967", + "id": "adda3b4d", "metadata": {}, "outputs": [], "source": [ @@ -455,7 +455,7 @@ { "cell_type": "code", "execution_count": null, - "id": "278dc2b8", + "id": "e769c0d9", "metadata": {}, "outputs": [], "source": [ @@ -464,7 +464,7 @@ }, { "cell_type": "markdown", - "id": "85ea030a", + "id": "a1905898", "metadata": {}, "source": [ "### Inequalities and logic\n", @@ -475,7 +475,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4deb4ef0", + "id": "eab40d86", "metadata": {}, "outputs": [], "source": [ @@ -485,7 +485,7 @@ { "cell_type": "code", "execution_count": null, - "id": "11051aa0", + "id": "d511130a", "metadata": {}, "outputs": [], "source": [ @@ -494,7 +494,7 @@ }, { "cell_type": "markdown", - "id": "a039704b", + "id": "fb35f363", "metadata": {}, "source": [ "### Series\n", @@ -507,7 +507,7 @@ { "cell_type": "code", "execution_count": null, - "id": "757fe739", + "id": "52ae56c1", "metadata": {}, "outputs": [], "source": [ @@ -520,7 +520,7 @@ }, { "cell_type": "markdown", - "id": "77189f9e", + "id": "bbb39b3f", "metadata": {}, "source": [ "To evaluate the sum, we can [`lambdify`](https://docs.sympy.org/latest/modules/utilities/lambdify.html#sympy.utilities.lambdify.lambdify) the formula.\n", @@ -531,7 +531,7 @@ { "cell_type": "code", "execution_count": null, - "id": "36d9dcef", + "id": "28507975", "metadata": {}, "outputs": [], "source": [ @@ -542,7 +542,7 @@ }, { "cell_type": "markdown", - "id": "c3a5f8d3", + "id": "fc2fcbe8", "metadata": {}, "source": [ "#### Example: bank deposits\n", @@ -563,7 +563,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0323411b", + "id": "1c17d3c4", "metadata": {}, "outputs": [], "source": [ @@ -575,7 +575,7 @@ }, { "cell_type": "markdown", - "id": "dc73afc4", + "id": "3bcf25ff", "metadata": {}, "source": [ "We can call the `doit` method to evaluate the series" @@ -584,7 +584,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6255964a", + "id": "3054f0f5", "metadata": {}, "outputs": [], "source": [ @@ -593,7 +593,7 @@ }, { "cell_type": "markdown", - "id": "4a56ef5c", + "id": "1c83afd2", "metadata": {}, "source": [ "Simplifying the expression above gives" @@ -602,7 +602,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2f1bad6b", + "id": "ebdb2ed9", "metadata": {}, "outputs": [], "source": [ @@ -611,7 +611,7 @@ }, { "cell_type": "markdown", - "id": "9dc83372", + "id": "bf2cfe47", "metadata": {}, "source": [ "This is consistent with the solution in the lecture on [geometric series](https://python.quantecon.org/geom_series.html#example-the-money-multiplier-in-fractional-reserve-banking).\n", @@ -631,7 +631,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1c66dea8", + "id": "afe61c23", "metadata": {}, "outputs": [], "source": [ @@ -645,7 +645,7 @@ }, { "cell_type": "markdown", - "id": "c23223b2", + "id": "0b76d7db", "metadata": {}, "source": [ "We can verify if the sum of probabilities for all possible values equals $1$:\n", @@ -658,7 +658,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2e754ba2", + "id": "62c7178d", "metadata": {}, "outputs": [], "source": [ @@ -668,7 +668,7 @@ }, { "cell_type": "markdown", - "id": "50c8ad7f", + "id": "3fb70dbc", "metadata": {}, "source": [ "The expectation of the distribution is:\n", @@ -681,7 +681,7 @@ { "cell_type": "code", "execution_count": null, - "id": "dad01db3", + "id": "56946499", "metadata": {}, "outputs": [], "source": [ @@ -691,7 +691,7 @@ }, { "cell_type": "markdown", - "id": "0ae22e8c", + "id": "c2aea1bf", "metadata": {}, "source": [ "SymPy includes a statistics submodule called [`Stats`](https://docs.sympy.org/latest/modules/stats.html).\n", @@ -704,7 +704,7 @@ { "cell_type": "code", "execution_count": null, - "id": "36909eb5", + "id": "5d3b1018", "metadata": {}, "outputs": [], "source": [ @@ -717,7 +717,7 @@ }, { "cell_type": "markdown", - "id": "398d19a5", + "id": "adba9658", "metadata": {}, "source": [ "## Symbolic Calculus\n", @@ -733,7 +733,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3c88f475", + "id": "7c8af5ed", "metadata": {}, "outputs": [], "source": [ @@ -747,7 +747,7 @@ }, { "cell_type": "markdown", - "id": "06e7100e", + "id": "68340e4a", "metadata": {}, "source": [ "### Derivatives\n", @@ -758,7 +758,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f2a47681", + "id": "e77a7c0e", "metadata": {}, "outputs": [], "source": [ @@ -769,7 +769,7 @@ }, { "cell_type": "markdown", - "id": "c0946e75", + "id": "30aaa38d", "metadata": {}, "source": [ "### Integrals\n", @@ -780,7 +780,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7bd0b6f0", + "id": "57bc50a9", "metadata": {}, "outputs": [], "source": [ @@ -791,7 +791,7 @@ }, { "cell_type": "markdown", - "id": "090f1288", + "id": "58bae3ba", "metadata": {}, "source": [ "Let's use this function to compute the moment-generating function of [exponential distribution](https://en.wikipedia.org/wiki/Exponential_distribution) with the probability density function:\n", @@ -804,7 +804,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a81e9daa", + "id": "8762eca3", "metadata": {}, "outputs": [], "source": [ @@ -817,7 +817,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a279aed4", + "id": "2c8f68a9", "metadata": {}, "outputs": [], "source": [ @@ -828,7 +828,7 @@ }, { "cell_type": "markdown", - "id": "fc695002", + "id": "ddd87aa0", "metadata": {}, "source": [ "Note that we can also use `Stats` module to compute the moment" @@ -837,7 +837,7 @@ { "cell_type": "code", "execution_count": null, - "id": "863c38c3", + "id": "4bf1c7b4", "metadata": {}, "outputs": [], "source": [ @@ -847,7 +847,7 @@ { "cell_type": "code", "execution_count": null, - "id": "07b9baba", + "id": "e23ceef0", "metadata": {}, "outputs": [], "source": [ @@ -857,7 +857,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7e62ebf2", + "id": "c1b1fba8", "metadata": {}, "outputs": [], "source": [ @@ -866,7 +866,7 @@ }, { "cell_type": "markdown", - "id": "877e76a5", + "id": "b0d8221b", "metadata": {}, "source": [ "Using the `integrate` function, we can derive the cumulative density function of the exponential distribution with $\\lambda = 0.5$" @@ -875,7 +875,7 @@ { "cell_type": "code", "execution_count": null, - "id": "484103c5", + "id": "7b57e887", "metadata": {}, "outputs": [], "source": [ @@ -886,7 +886,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7435b60c", + "id": "e751ad94", "metadata": {}, "outputs": [], "source": [ @@ -895,7 +895,7 @@ }, { "cell_type": "markdown", - "id": "da0f4686", + "id": "f32cbe08", "metadata": {}, "source": [ "Using `cdf` in `Stats` module gives the same solution" @@ -904,7 +904,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2d27248d", + "id": "8336b649", "metadata": {}, "outputs": [], "source": [ @@ -914,7 +914,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c23dc62b", + "id": "15bf114d", "metadata": {}, "outputs": [], "source": [ @@ -926,7 +926,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fa8213e1", + "id": "f6ed31b9", "metadata": {}, "outputs": [], "source": [ @@ -936,7 +936,7 @@ }, { "cell_type": "markdown", - "id": "a7c5b8b0", + "id": "a9c7bfd7", "metadata": {}, "source": [ "## Plotting\n", @@ -949,7 +949,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7e9d19f6", + "id": "c1806dd1", "metadata": {}, "outputs": [], "source": [ @@ -961,7 +961,7 @@ }, { "cell_type": "markdown", - "id": "fbe08253", + "id": "1380260e", "metadata": {}, "source": [ "Similar to Matplotlib, SymPy provides an interface to customize the graph" @@ -970,7 +970,7 @@ { "cell_type": "code", "execution_count": null, - "id": "47971f0c", + "id": "36acb416", "metadata": {}, "outputs": [], "source": [ @@ -988,7 +988,7 @@ }, { "cell_type": "markdown", - "id": "d669d4f9", + "id": "b4fe106e", "metadata": {}, "source": [ "It also supports plotting implicit functions and visualizing inequalities" @@ -997,7 +997,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a7125a52", + "id": "fdcd4eab", "metadata": {}, "outputs": [], "source": [ @@ -1007,7 +1007,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ecdb0407", + "id": "885ef2cc", "metadata": {}, "outputs": [], "source": [ @@ -1017,7 +1017,7 @@ }, { "cell_type": "markdown", - "id": "c53af3c1", + "id": "805ebd26", "metadata": {}, "source": [ "and visualizations in three-dimensional space" @@ -1026,7 +1026,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2e2e57fe", + "id": "cfb38a0c", "metadata": {}, "outputs": [], "source": [ @@ -1035,7 +1035,7 @@ }, { "cell_type": "markdown", - "id": "61ed3976", + "id": "c44bcfc4", "metadata": {}, "source": [ "## Application: Two-person Exchange Economy\n", @@ -1062,7 +1062,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0dddafca", + "id": "acafd938", "metadata": {}, "outputs": [], "source": [ @@ -1075,7 +1075,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ea437ef6", + "id": "51a03c33", "metadata": {}, "outputs": [], "source": [ @@ -1085,7 +1085,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fa414940", + "id": "4343f093", "metadata": {}, "outputs": [], "source": [ @@ -1094,7 +1094,7 @@ }, { "cell_type": "markdown", - "id": "9836af33", + "id": "dc00f8e0", "metadata": {}, "source": [ "We are interested in the Pareto optimal allocation of goods $x$ and $y$.\n", @@ -1111,7 +1111,7 @@ { "cell_type": "code", "execution_count": null, - "id": "94b6d3fd", + "id": "e5124d6b", "metadata": {}, "outputs": [], "source": [ @@ -1126,7 +1126,7 @@ { "cell_type": "code", "execution_count": null, - "id": "97607f57", + "id": "e5627f6f", "metadata": {}, "outputs": [], "source": [ @@ -1137,7 +1137,7 @@ }, { "cell_type": "markdown", - "id": "29814564", + "id": "ea5deedb", "metadata": {}, "source": [ "Let's compute the Pareto optimal allocations of the economy (contract curves) with $\\alpha = \\beta = 0.5$ using SymPy" @@ -1146,7 +1146,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2e072c21", + "id": "9d8cd547", "metadata": {}, "outputs": [], "source": [ @@ -1156,7 +1156,7 @@ }, { "cell_type": "markdown", - "id": "6ab9c3d5", + "id": "c0a82d8c", "metadata": {}, "source": [ "We can use this result to visualize more contract curves under different parameters" @@ -1165,7 +1165,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8ef8f1c7", + "id": "3d539fd2", "metadata": {}, "outputs": [], "source": [ @@ -1191,7 +1191,7 @@ }, { "cell_type": "markdown", - "id": "bf60a982", + "id": "9391395e", "metadata": {}, "source": [ "We invite you to play with the parameters and see how the contract curves change and think about the following two questions:\n", @@ -1229,7 +1229,7 @@ { "cell_type": "code", "execution_count": null, - "id": "30f3e990", + "id": "d0381b2f", "metadata": {}, "outputs": [], "source": [ @@ -1241,7 +1241,7 @@ }, { "cell_type": "markdown", - "id": "af5f352a", + "id": "84b0497c", "metadata": {}, "source": [ "Sympy is smart enough to solve this limit" @@ -1250,7 +1250,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3334a09a", + "id": "1574c977", "metadata": {}, "outputs": [], "source": [ @@ -1260,7 +1260,7 @@ }, { "cell_type": "markdown", - "id": "616a6136", + "id": "5753ee66", "metadata": {}, "source": [ "We compare the result suggested by L'Hôpital's rule" @@ -1269,7 +1269,7 @@ { "cell_type": "code", "execution_count": null, - "id": "07095087", + "id": "5dbc76c5", "metadata": {}, "outputs": [], "source": [ @@ -1280,7 +1280,7 @@ }, { "cell_type": "markdown", - "id": "e73438b6", + "id": "950ffae1", "metadata": {}, "source": [ "```{solution-end}\n", @@ -1316,7 +1316,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bc4e6753", + "id": "97e1e508", "metadata": {}, "outputs": [], "source": [ @@ -1329,7 +1329,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b1244b34", + "id": "b0033e7e", "metadata": {}, "outputs": [], "source": [ @@ -1339,7 +1339,7 @@ }, { "cell_type": "markdown", - "id": "aa726be2", + "id": "2988107a", "metadata": {}, "source": [ "Now we compute the log-likelihood function and solve for the result" @@ -1348,7 +1348,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2d69a101", + "id": "4943af89", "metadata": {}, "outputs": [], "source": [ @@ -1358,7 +1358,7 @@ { "cell_type": "code", "execution_count": null, - "id": "eb8e7070", + "id": "87f6355b", "metadata": {}, "outputs": [], "source": [ @@ -1369,7 +1369,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5ade8cd3", + "id": "c402fb88", "metadata": {}, "outputs": [], "source": [ @@ -1378,7 +1378,7 @@ }, { "cell_type": "markdown", - "id": "69ab078a", + "id": "252e9683", "metadata": {}, "source": [ "```{solution-end}\n", diff --git a/_sources/troubleshooting.ipynb b/_sources/troubleshooting.ipynb index 9ef38688..cf3257b9 100644 --- a/_sources/troubleshooting.ipynb +++ b/_sources/troubleshooting.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "dd992651", + "id": "6bf9004c", "metadata": {}, "source": [ "(troubleshooting)=\n", diff --git a/_sources/workspace.ipynb b/_sources/workspace.ipynb index 820a6c77..52cdfc44 100644 --- a/_sources/workspace.ipynb +++ b/_sources/workspace.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "fd0cdac8", + "id": "014019ed", "metadata": {}, "source": [ "(workspace)=\n", diff --git a/_sources/writing_good_code.ipynb b/_sources/writing_good_code.ipynb index e129933f..8c0ec655 100644 --- a/_sources/writing_good_code.ipynb +++ b/_sources/writing_good_code.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "9720db79", + "id": "bd7dc8e9", "metadata": {}, "source": [ "(writing_good_code)=\n", @@ -74,7 +74,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e269696a", + "id": "2ab83a68", "metadata": {}, "outputs": [], "source": [ @@ -144,7 +144,7 @@ }, { "cell_type": "markdown", - "id": "7330212f", + "id": "683d3c22", "metadata": {}, "source": [ "True, the code more or less follows [PEP8](https://www.python.org/dev/peps/pep-0008/).\n", @@ -265,7 +265,7 @@ { "cell_type": "code", "execution_count": null, - "id": "74f6ec37", + "id": "7a8e5e58", "metadata": {}, "outputs": [], "source": [ @@ -304,7 +304,7 @@ }, { "cell_type": "markdown", - "id": "43ad2217", + "id": "c059ebfc", "metadata": {}, "source": [ "If you inspect this code, you will see that\n", @@ -364,7 +364,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d7369256", + "id": "4e4d0f17", "metadata": {}, "outputs": [], "source": [ @@ -383,7 +383,7 @@ }, { "cell_type": "markdown", - "id": "5a532aef", + "id": "fd28b692", "metadata": {}, "source": [ "Let's also plot our results." @@ -392,7 +392,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0c5f6062", + "id": "fa040e4b", "metadata": {}, "outputs": [], "source": [ @@ -416,7 +416,7 @@ }, { "cell_type": "markdown", - "id": "09e432af", + "id": "ded0f260", "metadata": {}, "source": [ "We also want to consider supply and demand shifts.\n", @@ -427,7 +427,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5e0ae108", + "id": "bd39322b", "metadata": {}, "outputs": [], "source": [ @@ -445,7 +445,7 @@ { "cell_type": "code", "execution_count": null, - "id": "523873f3", + "id": "c3ab7233", "metadata": {}, "outputs": [], "source": [ @@ -469,7 +469,7 @@ }, { "cell_type": "markdown", - "id": "1fe51233", + "id": "0a3dfa1e", "metadata": {}, "source": [ "Now we might consider supply shifts, but you already get the idea that there's\n", @@ -491,7 +491,7 @@ { "cell_type": "code", "execution_count": null, - "id": "13dfc2b8", + "id": "c28ef596", "metadata": {}, "outputs": [], "source": [ @@ -532,7 +532,7 @@ }, { "cell_type": "markdown", - "id": "1f8f4ae8", + "id": "cbc06dbf", "metadata": {}, "source": [ "Let's create an instance at the default parameter values." @@ -541,7 +541,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e87276d7", + "id": "1a5daa7e", "metadata": {}, "outputs": [], "source": [ @@ -550,7 +550,7 @@ }, { "cell_type": "markdown", - "id": "7b6f53ff", + "id": "57f09490", "metadata": {}, "source": [ "Now we'll compute the equilibrium and plot it." @@ -559,7 +559,7 @@ { "cell_type": "code", "execution_count": null, - "id": "aa9b4701", + "id": "b6a398a6", "metadata": {}, "outputs": [], "source": [ @@ -569,7 +569,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3c2bd770", + "id": "58f98d5a", "metadata": {}, "outputs": [], "source": [ @@ -578,7 +578,7 @@ }, { "cell_type": "markdown", - "id": "360c274c", + "id": "d26724dd", "metadata": {}, "source": [ "One of the nice things about our refactored code is that, when we change\n", @@ -588,7 +588,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9c4d5ede", + "id": "ad179f94", "metadata": {}, "outputs": [], "source": [ @@ -598,7 +598,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9a97af1f", + "id": "a8c0d892", "metadata": {}, "outputs": [], "source": [ @@ -608,7 +608,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4b751d29", + "id": "83ed0b89", "metadata": {}, "outputs": [], "source": [ @@ -617,7 +617,7 @@ }, { "cell_type": "markdown", - "id": "0d329380", + "id": "18c10f28", "metadata": {}, "source": [ "```{solution-end}\n", diff --git a/_static/scripts/quantecon-book-theme.js b/_static/scripts/quantecon-book-theme.js index 2900eaf2..711b2988 100644 --- 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      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

      diff --git a/debugging.html b/debugging.html index 4aa88d1c..6fe4bbd4 100644 --- a/debugging.html +++ b/debugging.html @@ -71,7 +71,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -221,8 +221,19 @@

      Debugging and Handling Errors

      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

      diff --git a/functions.html b/functions.html index 32e1a1be..e3f7cf8a 100644 --- a/functions.html +++ b/functions.html @@ -71,7 +71,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -226,8 +226,19 @@

      Functions

      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

      @@ -622,7 +633,7 @@

      4.4.1. Random Draws
      -_images/b8e7553fe31dcedb0854dee408cfda70207944c89629f2d1e0cd135b78019c30.png +_images/e9cf6370a658669e4be555c94f8bfd8f51b0005e7c1ea9261b309f7414d25483.png

      We will break this program into two parts:

      @@ -652,7 +663,7 @@

      4.4.1. Random Draws
      -_images/08fd21a0730d8158676751b74f2be2a9839bd0110204cb1d2e97c41194842da2.png +_images/9da85d833d627e8dd767ae65bca14a1469ad81a81e8fb56e6f206e232b8eb050.png

      When the interpreter gets to the expression generate_data(100), it executes the function body with n set equal to 100.

      @@ -682,7 +693,7 @@

      4.4.2. Adding Conditions -_images/bf14e775dde232119ec694af5a53de44a873b761d5aea9638fb48e376398bf3e.png +_images/63664f2d07e83f80d295e92578137871de060820edee3322c556264252527c91.png

      Hopefully, the syntax of the if/else clause is self-explanatory, with indentation again delimiting the extent of the code blocks.

      @@ -715,7 +726,7 @@

      4.4.2. Adding Conditions -_images/0ae95894c759ddca6259684bf05fa10c8350ad5910cb767057d2baad0adc699b.png +_images/b99f33620568be93578d86fe82474c0a8445e825f34b38b02b7e212d12b5fd33.png

      Now, when we call the function generate_data(), we pass np.random.uniform @@ -935,7 +946,7 @@

      4.4.2. Adding Conditions -
      0
      @@ -1026,16 +1037,16 @@ 

      4.4.2. Adding Conditions -
      1
      -1
      +
      0
      +0
       1
       2
       3
       3
      -3
      -3
       4
      -5
      +4
      +4
      +4
       
      diff --git a/getting_started.html b/getting_started.html index 301d7b86..170ff266 100644 --- a/getting_started.html +++ b/getting_started.html @@ -71,7 +71,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -242,8 +242,19 @@

      Getting Started

      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

      diff --git a/intro.html b/intro.html index 8891d2e4..45d98b9b 100644 --- a/intro.html +++ b/intro.html @@ -71,7 +71,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -197,8 +197,19 @@

      Python Programming for Economics and Finance

      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

      @@ -211,8 +222,8 @@

      Python Programming for Economics and Finance#

      -

      This website presents a set of lectures on Python programming for economics and finance, designed and written by -Thomas J. Sargent and John Stachurski. This is the first text in the series, which focuses on programming in Python.

      +

      This website presents a set of lectures on Python programming for economics and finance.

      +

      This is the first text in the series, which focuses on programming in Python.

      For an overview of the series, see this page

      Introduction to Python

      diff --git a/jax_intro.html b/jax_intro.html index 49eb9092..ad0169b0 100644 --- a/jax_intro.html +++ b/jax_intro.html @@ -71,7 +71,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -198,8 +198,19 @@

      JAX

      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

      diff --git a/matplotlib.html b/matplotlib.html index 9060f9f3..56c09cfe 100644 --- a/matplotlib.html +++ b/matplotlib.html @@ -71,7 +71,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -224,8 +224,19 @@

      Matplotlib

      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

      @@ -415,7 +426,7 @@

      11.3.1. Multiple Plots on One Axis
      -_images/fa222aa0ac4fe30620590e8ae787185b3880ade926d13a25f8a6a79277c95a43.png +_images/e83e0623284ae557db0686e8fb6786b0ee165bd3df87fb05648b89b37320219e.png

      @@ -439,7 +450,7 @@

      11.3.2. Multiple Subplots -_images/6c88d1aa8c8feb102118995b663d376863c6fd60d298b74ab6efdd39502a00dc.png +_images/c482d5a6a0eed1b2d2090aa7d87cffe5716d5339f11c9fb7d0ee986b7cfebe63.png @@ -1061,7 +1072,7 @@

      11.3.5. Style Sheets -_images/ce96fd094f9c174b58cfca825499fd1526ac041beb8afdbff993232ca10524f8.png +_images/544b10d10e165f25438737a0ccf4694b760dfd3d658e09fe7ac33e5776b9030d.png

      Apply the default style sheet again to change your style back to default

      diff --git a/need_for_speed.html b/need_for_speed.html index 62c1c01c..8b5221ae 100644 --- a/need_for_speed.html +++ b/need_for_speed.html @@ -71,7 +71,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -229,8 +229,19 @@

      Python for Scientific Computing

      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

      @@ -295,16 +306,18 @@

      9.1.
      Collecting quantecon
         Obtaining dependency information for quantecon from https://files.pythonhosted.org/packages/33/ea/e64e1be90daf370f5b190ceb298b9ac92105b3672775dce77acde8ccf603/quantecon-0.7.1-py3-none-any.whl.metadata
      -  Downloading quantecon-0.7.1-py3-none-any.whl.metadata (4.0 kB)
       
      -
      Requirement already satisfied: numba>=0.49.0 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from quantecon) (0.57.1)
      +
        Downloading quantecon-0.7.1-py3-none-any.whl.metadata (4.0 kB)
      +Requirement already satisfied: numba>=0.49.0 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from quantecon) (0.57.1)
       Requirement already satisfied: numpy>=1.17.0 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from quantecon) (1.24.3)
       Requirement already satisfied: requests in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from quantecon) (2.31.0)
       Requirement already satisfied: scipy>=1.5.0 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from quantecon) (1.11.1)
       Requirement already satisfied: sympy in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from quantecon) (1.11.1)
       Requirement already satisfied: llvmlite<0.41,>=0.40.0dev0 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from numba>=0.49.0->quantecon) (0.40.0)
      -Requirement already satisfied: charset-normalizer<4,>=2 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from requests->quantecon) (2.0.4)
      +
      +
      +
      Downloading quantecon-0.7.1-py3-none-any.whl (214 kB)
       ?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/214.8 kB ? eta -:--:--
      -   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 214.8/214.8 kB 12.4 MB/s eta 0:00:00
      +   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 214.8/214.8 kB 10.6 MB/s eta 0:00:00
       ?25h
       
      @@ -554,8 +567,8 @@

      9.4.1. Operations on Arrays -
      CPU times: user 232 ms, sys: 0 ns, total: 232 ms
      -Wall time: 232 ms
      +
      CPU times: user 237 ms, sys: 370 µs, total: 237 ms
      +Wall time: 237 ms
       
      @@ -571,8 +584,8 @@

      9.4.1. Operations on Arrays -
      CPU times: user 5.11 ms, sys: 4.16 ms, total: 9.27 ms
      -Wall time: 8.94 ms
      +
      CPU times: user 9.08 ms, sys: 272 µs, total: 9.36 ms
      +Wall time: 9.12 ms
       
      @@ -698,8 +711,8 @@

      9.4.1. Operations on Arrays -
      CPU times: user 1.5 s, sys: 8.06 ms, total: 1.51 s
      -Wall time: 1.42 s
      +
      CPU times: user 1.48 s, sys: 4.97 ms, total: 1.48 s
      +Wall time: 1.39 s
       
      @@ -715,8 +728,8 @@

      9.4.1. Operations on Arrays - -
      Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from requests->quantecon) (1.26.16)
      +
       
      -
      -
      -
      -
      CPU times: user 62 ms, sys: 7.88 ms, total: 69.8 ms
      -Wall time: 69.4 ms
      +
      CPU times: user 65.9 ms, sys: 4.11 ms, total: 70 ms
      +Wall time: 69.7 ms
       
      array([0.1       , 0.36      , 0.9216    , ..., 0.98112405, 0.07407858,
      @@ -557,9 +568,9 @@ 

      15.4.
      -
      CPU times: user 280 ms, sys: 47.9 ms, total: 328 ms
      -Wall time: 328 ms
      +
      CPU times: user 277 ms, sys: 55.9 ms, total: 333 ms
      +Wall time: 333 ms
       
      -
      array([2.97142857, 2.95714286, 3.27142857, 3.44285714, 2.61428571,
      -       3.94285714, 3.9       , 2.88571429, 3.31428571, 3.27142857])
      +
      array([3.54285714, 3.74285714, 3.57142857, 2.45714286, 3.15714286,
      +       3.57142857, 3.61428571, 3.6       , 3.62857143, 3.94285714])
       
      @@ -604,7 +615,7 @@

      15.4.
      -
      -
      -
      CPU times: user 141 ms, sys: 4.06 ms, total: 145 ms
      -Wall time: 145 ms
      +
      CPU times: user 148 ms, sys: 3.99 ms, total: 152 ms
      +Wall time: 152 ms
       
      -
      -
      CPU times: user 3.7 ms, sys: 7.02 ms, total: 10.7 ms
      -Wall time: 10.7 ms
      +
      CPU times: user 10.9 ms, sys: 0 ns, total: 10.9 ms
      +Wall time: 10.8 ms
       
      -
      -
      -
      -
      -
      array([ 0.        ,  0.00595254, -1.50683986])
      +
      array([ 0.        , -0.63618665, -0.94948789])
       
      @@ -1777,7 +1788,7 @@

      10.6.1. Making Copies -
      array([ 0.7799277 , -0.41807585,  0.32421524])
      +
      array([-0.17144282,  1.25599012,  0.94965095])
       
      @@ -1790,7 +1801,7 @@

      10.6.1. Making Copies -
      array([ 0.7799277 , -0.41807585,  0.32421524])
      +
      array([-0.17144282,  1.25599012,  0.94965095])
       
      @@ -1816,7 +1827,7 @@

      10.6.1. Making Copies -
      array([ 0.7799277 , -0.41807585,  0.32421524])
      +
      array([-0.17144282,  1.25599012,  0.94965095])
       
      @@ -1901,7 +1912,7 @@

      10.7.1. Vectorized Functions -
      array([ 0.11559157,  1.75818501, -1.86144942, -0.82141863])
      +
      array([-1.4410515 , -0.65186216, -0.64465183,  0.8134109 ])
       
      @@ -1913,7 +1924,7 @@

      10.7.1. Vectorized Functions - -
      -
      -
      -
      dict_items([('__name__', 'math'), ('__doc__', 'This module provides access to the mathematical functions\ndefined by the C standard.'), ('__package__', ''), ('__loader__', <_frozen_importlib_external.ExtensionFileLoader object at 0x7f18a70bfa50>), ('__spec__', ModuleSpec(name='math', loader=<_frozen_importlib_external.ExtensionFileLoader object at 0x7f18a70bfa50>, origin='/usr/share/miniconda3/envs/quantecon/lib/python3.11/lib-dynload/math.cpython-311-x86_64-linux-gnu.so')), ('acos', <built-in function acos>), ('acosh', <built-in function acosh>), ('asin', <built-in function asin>), ('asinh', <built-in function asinh>), ('atan', <built-in function atan>), ('atan2', <built-in function atan2>), ('atanh', <built-in function atanh>), ('cbrt', <built-in function cbrt>), ('ceil', <built-in function ceil>), ('copysign', <built-in function copysign>), ('cos', <built-in function cos>), ('cosh', <built-in function cosh>), ('degrees', <built-in function degrees>), ('dist', <built-in function dist>), ('erf', <built-in function erf>), ('erfc', <built-in function erfc>), ('exp', <built-in function exp>), ('exp2', <built-in function exp2>), ('expm1', <built-in function expm1>), ('fabs', <built-in function fabs>), ('factorial', <built-in function factorial>), ('floor', <built-in function floor>), ('fmod', <built-in function fmod>), ('frexp', <built-in function frexp>), ('fsum', <built-in function fsum>), ('gamma', <built-in function gamma>), ('gcd', <built-in function gcd>), ('hypot', <built-in function hypot>), ('isclose', <built-in function isclose>), ('isfinite', <built-in function isfinite>), ('isinf', <built-in function isinf>), ('isnan', <built-in function isnan>), ('isqrt', <built-in function isqrt>), ('lcm', <built-in function lcm>), ('ldexp', <built-in function ldexp>), ('lgamma', <built-in function lgamma>), ('log', <built-in function log>), ('log1p', <built-in function log1p>), ('log10', <built-in function log10>), ('log2', <built-in function log2>), ('modf', <built-in function modf>), ('pow', <built-in function pow>), ('radians', <built-in function radians>), ('remainder', <built-in function remainder>), ('sin', <built-in function sin>), ('sinh', <built-in function sinh>), ('sqrt', <built-in function sqrt>), ('tan', <built-in function tan>), ('tanh', <built-in function tanh>), ('trunc', <built-in function trunc>), ('prod', <built-in function prod>), ('perm', <built-in function perm>), ('comb', <built-in function comb>), ('nextafter', <built-in function nextafter>), ('ulp', <built-in function ulp>), ('__file__', '/usr/share/miniconda3/envs/quantecon/lib/python3.11/lib-dynload/math.cpython-311-x86_64-linux-gnu.so'), ('pi', 3.141592653589793), ('e', 2.718281828459045), ('tau', 6.283185307179586), ('inf', inf), ('nan', nan)])
      +
      dict_items([('__name__', 'math'), ('__doc__', 'This module provides access to the mathematical functions\ndefined by the C standard.'), ('__package__', ''), ('__loader__', <_frozen_importlib_external.ExtensionFileLoader object at 0x7fc23f2bba50>), ('__spec__', ModuleSpec(name='math', loader=<_frozen_importlib_external.ExtensionFileLoader object at 0x7fc23f2bba50>, origin='/usr/share/miniconda3/envs/quantecon/lib/python3.11/lib-dynload/math.cpython-311-x86_64-linux-gnu.so')), ('acos', <built-in function acos>), ('acosh', <built-in function acosh>), ('asin', <built-in function asin>), ('asinh', <built-in function asinh>), ('atan', <built-in function atan>), ('atan2', <built-in function atan2>), ('atanh', <built-in function atanh>), ('cbrt', <built-in function cbrt>), ('ceil', <built-in function ceil>), ('copysign', <built-in function copysign>), ('cos', <built-in function cos>), ('cosh', <built-in function cosh>), ('degrees', <built-in function degrees>), ('dist', <built-in function dist>), ('erf', <built-in function erf>), ('erfc', <built-in function erfc>), ('exp', <built-in function exp>), ('exp2', <built-in function exp2>), ('expm1', <built-in function expm1>), ('fabs', <built-in function fabs>), ('factorial', <built-in function factorial>), ('floor', <built-in function floor>), ('fmod', <built-in function fmod>), ('frexp', <built-in function frexp>), ('fsum', <built-in function fsum>), ('gamma', <built-in function gamma>), ('gcd', <built-in function gcd>), ('hypot', <built-in function hypot>), ('isclose', <built-in function isclose>), ('isfinite', <built-in function isfinite>), ('isinf', <built-in function isinf>), ('isnan', <built-in function isnan>), ('isqrt', <built-in function isqrt>), ('lcm', <built-in function lcm>), ('ldexp', <built-in function ldexp>), ('lgamma', <built-in function lgamma>), ('log', <built-in function log>), ('log1p', <built-in function log1p>), ('log10', <built-in function log10>), ('log2', <built-in function log2>), ('modf', <built-in function modf>), ('pow', <built-in function pow>), ('radians', <built-in function radians>), ('remainder', <built-in function remainder>), ('sin', <built-in function sin>), ('sinh', <built-in function sinh>), ('sqrt', <built-in function sqrt>), ('tan', <built-in function tan>), ('tanh', <built-in function tanh>), ('trunc', <built-in function trunc>), ('prod', <built-in function prod>), ('perm', <built-in function perm>), ('comb', <built-in function comb>), ('nextafter', <built-in function nextafter>), ('ulp', <built-in function ulp>), ('__file__', '/usr/share/miniconda3/envs/quantecon/lib/python3.11/lib-dynload/math.cpython-311-x86_64-linux-gnu.so'), ('pi', 3.141592653589793), ('e', 2.718281828459045), ('tau', 6.283185307179586), ('inf', inf), ('nan', nan)])
       
      @@ -757,7 +768,7 @@

      6.3.2. Namespaces

      -
      dict_items([('__name__', 'mathfoo'), ('__doc__', None), ('__package__', ''), ('__loader__', <_frozen_importlib_external.SourceFileLoader object at 0x7f189067bc90>), ('__spec__', ModuleSpec(name='mathfoo', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7f189067bc90>, origin='/home/runner/work/lecture-python-programming.myst/lecture-python-programming.myst/lectures/mathfoo.py')), ('__file__', '/home/runner/work/lecture-python-programming.myst/lecture-python-programming.myst/lectures/mathfoo.py'), ('__cached__', '/home/runner/work/lecture-python-programming.myst/lecture-python-programming.myst/lectures/__pycache__/mathfoo.cpython-311.pyc'), ('__builtins__', {'__name__': 'builtins', '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__package__': '', '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), '__build_class__': <built-in function __build_class__>, '__import__': <built-in function __import__>, 'abs': <built-in function abs>, 'all': <built-in function all>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'breakpoint': <built-in function breakpoint>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'compile': <built-in function compile>, 'delattr': <built-in function delattr>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'format': <built-in function format>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <bound method Kernel.raw_input of <ipykernel.ipkernel.IPythonKernel object at 0x7f18a43d8910>>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'aiter': <built-in function aiter>, 'len': <built-in function len>, 'locals': <built-in function locals>, 'max': <built-in function max>, 'min': <built-in function min>, 'next': <built-in function next>, 'anext': <built-in function anext>, 'oct': <built-in function oct>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'repr': <built-in function repr>, 'round': <built-in function round>, 'setattr': <built-in function setattr>, 'sorted': <built-in function sorted>, 'sum': <built-in function sum>, 'vars': <built-in function vars>, 'None': None, 'Ellipsis': Ellipsis, 'NotImplemented': NotImplemented, 'False': False, 'True': True, 'bool': <class 'bool'>, 'memoryview': <class 'memoryview'>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'classmethod': <class 'classmethod'>, 'complex': <class 'complex'>, 'dict': <class 'dict'>, 'enumerate': <class 'enumerate'>, 'filter': <class 'filter'>, 'float': <class 'float'>, 'frozenset': <class 'frozenset'>, 'property': <class 'property'>, 'int': <class 'int'>, 'list': <class 'list'>, 'map': <class 'map'>, 'object': <class 'object'>, 'range': <class 'range'>, 'reversed': <class 'reversed'>, 'set': <class 'set'>, 'slice': <class 'slice'>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'zip': <class 'zip'>, '__debug__': True, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'Exception': <class 'Exception'>, 'GeneratorExit': <class 'GeneratorExit'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'SystemExit': <class 'SystemExit'>, 'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BufferError': <class 'BufferError'>, 'EOFError': <class 'EOFError'>, 'ImportError': <class 'ImportError'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'NameError': <class 'NameError'>, 'OSError': <class 'OSError'>, 'ReferenceError': <class 'ReferenceError'>, 'RuntimeError': <class 'RuntimeError'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SystemError': <class 'SystemError'>, 'TypeError': <class 'TypeError'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'FloatingPointError': <class 'FloatingPointError'>, 'OverflowError': <class 'OverflowError'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, 'BytesWarning': <class 'BytesWarning'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EncodingWarning': <class 'EncodingWarning'>, 'FutureWarning': <class 'FutureWarning'>, 'ImportWarning': <class 'ImportWarning'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'BlockingIOError': <class 'BlockingIOError'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionError': <class 'ConnectionError'>, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'NotADirectoryError': <class 'NotADirectoryError'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'TimeoutError': <class 'TimeoutError'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'KeyError': <class 'KeyError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NotImplementedError': <class 'NotImplementedError'>, 'RecursionError': <class 'RecursionError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeError': <class 'UnicodeError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'TabError': <class 'TabError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'EnvironmentError': <class 'OSError'>, 'IOError': <class 'OSError'>, 'open': <built-in function open>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation.
      +
      dict_items([('__name__', 'mathfoo'), ('__doc__', None), ('__package__', ''), ('__loader__', <_frozen_importlib_external.SourceFileLoader object at 0x7fc23fb7b350>), ('__spec__', ModuleSpec(name='mathfoo', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7fc23fb7b350>, origin='/home/runner/work/lecture-python-programming.myst/lecture-python-programming.myst/lectures/mathfoo.py')), ('__file__', '/home/runner/work/lecture-python-programming.myst/lecture-python-programming.myst/lectures/mathfoo.py'), ('__cached__', '/home/runner/work/lecture-python-programming.myst/lecture-python-programming.myst/lectures/__pycache__/mathfoo.cpython-311.pyc'), ('__builtins__', {'__name__': 'builtins', '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by 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'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <bound method Kernel.raw_input of <ipykernel.ipkernel.IPythonKernel object at 0x7fc23c5f0790>>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'aiter': <built-in function aiter>, 'len': <built-in function len>, 'locals': <built-in function locals>, 'max': <built-in function max>, 'min': <built-in function min>, 'next': <built-in function next>, 'anext': <built-in function anext>, 'oct': <built-in function oct>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'repr': <built-in function repr>, 'round': <built-in function round>, 'setattr': <built-in function setattr>, 'sorted': <built-in function sorted>, 'sum': <built-in function sum>, 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'ProcessLookupError'>, 'TimeoutError': <class 'TimeoutError'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'KeyError': <class 'KeyError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NotImplementedError': <class 'NotImplementedError'>, 'RecursionError': <class 'RecursionError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeError': <class 'UnicodeError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'TabError': <class 'TabError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'EnvironmentError': <class 'OSError'>, 'IOError': <class 'OSError'>, 'open': <built-in function open>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation.
       All Rights Reserved.
       
       Copyright (c) 2000 BeOpen.com.
      @@ -768,7 +779,7 @@ 

      6.3.2. Namespaces

      @@ -811,7 +822,7 @@

      6.3.3. Viewing Namespaces -
      dict_items([('__name__', 'math'), ('__doc__', 'This module provides access to the mathematical functions\ndefined by the C standard.'), ('__package__', ''), ('__loader__', <_frozen_importlib_external.ExtensionFileLoader object at 0x7f18a70bfa50>), ('__spec__', ModuleSpec(name='math', loader=<_frozen_importlib_external.ExtensionFileLoader object at 0x7f18a70bfa50>, origin='/usr/share/miniconda3/envs/quantecon/lib/python3.11/lib-dynload/math.cpython-311-x86_64-linux-gnu.so')), ('acos', <built-in function acos>), ('acosh', <built-in function acosh>), ('asin', <built-in function asin>), ('asinh', <built-in function asinh>), ('atan', <built-in function atan>), ('atan2', <built-in function atan2>), ('atanh', <built-in function atanh>), ('cbrt', <built-in function cbrt>), ('ceil', <built-in function ceil>), ('copysign', <built-in function copysign>), ('cos', <built-in function cos>), ('cosh', <built-in function cosh>), ('degrees', <built-in function degrees>), ('dist', <built-in function dist>), ('erf', <built-in function erf>), ('erfc', <built-in function erfc>), ('exp', <built-in function exp>), ('exp2', <built-in function exp2>), ('expm1', <built-in function expm1>), ('fabs', <built-in function fabs>), ('factorial', <built-in function factorial>), ('floor', <built-in function floor>), ('fmod', <built-in function fmod>), ('frexp', <built-in function frexp>), ('fsum', <built-in function fsum>), ('gamma', <built-in function gamma>), ('gcd', <built-in function gcd>), ('hypot', <built-in function hypot>), ('isclose', <built-in function isclose>), ('isfinite', <built-in function isfinite>), ('isinf', <built-in function isinf>), ('isnan', <built-in function isnan>), ('isqrt', <built-in function isqrt>), ('lcm', <built-in function lcm>), ('ldexp', <built-in function ldexp>), ('lgamma', <built-in function lgamma>), ('log', <built-in function log>), ('log1p', <built-in function log1p>), ('log10', <built-in function log10>), ('log2', <built-in function log2>), ('modf', <built-in function modf>), ('pow', <built-in function pow>), ('radians', <built-in function radians>), ('remainder', <built-in function remainder>), ('sin', <built-in function sin>), ('sinh', <built-in function sinh>), ('sqrt', <built-in function sqrt>), ('tan', <built-in function tan>), ('tanh', <built-in function tanh>), ('trunc', <built-in function trunc>), ('prod', <built-in function prod>), ('perm', <built-in function perm>), ('comb', <built-in function comb>), ('nextafter', <built-in function nextafter>), ('ulp', <built-in function ulp>), ('__file__', '/usr/share/miniconda3/envs/quantecon/lib/python3.11/lib-dynload/math.cpython-311-x86_64-linux-gnu.so'), ('pi', 3.141592653589793), ('e', 2.718281828459045), ('tau', 6.283185307179586), ('inf', inf), ('nan', nan)])
      +
      dict_items([('__name__', 'math'), ('__doc__', 'This module provides access to the mathematical functions\ndefined by the C standard.'), ('__package__', ''), ('__loader__', <_frozen_importlib_external.ExtensionFileLoader object at 0x7fc23f2bba50>), ('__spec__', ModuleSpec(name='math', loader=<_frozen_importlib_external.ExtensionFileLoader object at 0x7fc23f2bba50>, origin='/usr/share/miniconda3/envs/quantecon/lib/python3.11/lib-dynload/math.cpython-311-x86_64-linux-gnu.so')), ('acos', <built-in function acos>), ('acosh', <built-in function acosh>), ('asin', <built-in function asin>), ('asinh', <built-in function asinh>), ('atan', <built-in function atan>), ('atan2', <built-in function atan2>), ('atanh', <built-in function atanh>), ('cbrt', <built-in function cbrt>), ('ceil', <built-in function ceil>), ('copysign', <built-in function copysign>), ('cos', <built-in function cos>), ('cosh', <built-in function cosh>), ('degrees', <built-in function degrees>), ('dist', <built-in function dist>), ('erf', <built-in function erf>), ('erfc', <built-in function erfc>), ('exp', <built-in function exp>), ('exp2', <built-in function exp2>), ('expm1', <built-in function expm1>), ('fabs', <built-in function fabs>), ('factorial', <built-in function factorial>), ('floor', <built-in function floor>), ('fmod', <built-in function fmod>), ('frexp', <built-in function frexp>), ('fsum', <built-in function fsum>), ('gamma', <built-in function gamma>), ('gcd', <built-in function gcd>), ('hypot', <built-in function hypot>), ('isclose', <built-in function isclose>), ('isfinite', <built-in function isfinite>), ('isinf', <built-in function isinf>), ('isnan', <built-in function isnan>), ('isqrt', <built-in function isqrt>), ('lcm', <built-in function lcm>), ('ldexp', <built-in function ldexp>), ('lgamma', <built-in function lgamma>), ('log', <built-in function log>), ('log1p', <built-in function log1p>), ('log10', <built-in function log10>), ('log2', <built-in function log2>), ('modf', <built-in function modf>), ('pow', <built-in function pow>), ('radians', <built-in function radians>), ('remainder', <built-in function remainder>), ('sin', <built-in function sin>), ('sinh', <built-in function sinh>), ('sqrt', <built-in function sqrt>), ('tan', <built-in function tan>), ('tanh', <built-in function tanh>), ('trunc', <built-in function trunc>), ('prod', <built-in function prod>), ('perm', <built-in function perm>), ('comb', <built-in function comb>), ('nextafter', <built-in function nextafter>), ('ulp', <built-in function ulp>), ('__file__', '/usr/share/miniconda3/envs/quantecon/lib/python3.11/lib-dynload/math.cpython-311-x86_64-linux-gnu.so'), ('pi', 3.141592653589793), ('e', 2.718281828459045), ('tau', 6.283185307179586), ('inf', inf), ('nan', nan)])
       
      @@ -948,8 +959,8 @@

      6.3.4. Interactive Sessions
      +
        Downloading multitasking-0.0.11-py3-none-any.whl (8.5 kB)
       Requirement already satisfied: lxml>=4.9.1 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from yfinance) (4.9.3)
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      @@ -308,13 +321,15 @@ 

      13. <
      Collecting frozendict>=2.3.4 (from yfinance)
         Obtaining dependency information for frozendict>=2.3.4 from https://files.pythonhosted.org/packages/b6/2c/e391d6d57bbd837d383a6b69b54ecb4768d75b31d8bc7a380b4b4afe4cb2/frozendict-2.3.10-py3-none-any.whl.metadata
         Downloading frozendict-2.3.10-py3-none-any.whl.metadata (20 kB)
      +Collecting peewee>=3.16.2 (from yfinance)
       
      -
      Collecting peewee>=3.16.2 (from yfinance)
      -  Downloading peewee-3.17.0.tar.gz (2.9 MB)
      +
        Downloading peewee-3.17.0.tar.gz (2.9 MB)
       ?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/2.9 MB ? eta -:--:--
      -     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 2.9/2.9 MB 142.9 MB/s eta 0:00:01
      -     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.9/2.9 MB 85.4 MB/s eta 0:00:00
      +
      +
      +
           ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 2.5/2.9 MB 74.9 MB/s eta 0:00:01
      +     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.9/2.9 MB 59.5 MB/s eta 0:00:00
       ?25h
       
      @@ -346,7 +361,7 @@

      13. <

       done
      -?25h  Created wheel for peewee: filename=peewee-3.17.0-cp311-cp311-linux_x86_64.whl size=271614 sha256=7f6f3a9cc7f244c17f21b4fae1d0b432a7968bb8ba74211d346d45c8ceca4ca8
      -
      -
      -
        Stored in directory: /home/runner/.cache/pip/wheels/02/20/23/74a10d0cd31f5d41c19b92ddf4c138ceff01b9f4675f19dbf5
      +?25h  Created wheel for peewee: filename=peewee-3.17.0-cp311-cp311-linux_x86_64.whl size=271614 sha256=2dcae69c176be229a87a08c824c1be7f4cc082badb14ee6d118b2521de919223
      +  Stored in directory: /home/runner/.cache/pip/wheels/02/20/23/74a10d0cd31f5d41c19b92ddf4c138ceff01b9f4675f19dbf5
       Successfully built peewee
       
      @@ -448,10 +461,10 @@

      13.2.

      -
      -
      -
      0    1.275029
      -1    0.165879
      -2    2.168757
      -3    1.094866
      +
      0    0.720017
      +1    0.210659
      +2    0.262305
      +3    0.848900
       Name: daily returns, dtype: float64
       
      @@ -503,13 +516,13 @@

      13.2.
      -
      - -
      Requirement already satisfied: charset-normalizer<4,>=2 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from requests->quantecon) (2.0.4)
      -Requirement already satisfied: idna<4,>=2.5 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from requests->quantecon) (3.4)
      +
      Requirement already satisfied: idna<4,>=2.5 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from requests->quantecon) (3.4)
       Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from requests->quantecon) (1.26.16)
       Requirement already satisfied: certifi>=2017.4.17 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from requests->quantecon) (2023.7.22)
       Requirement already satisfied: mpmath>=0.19 in /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages (from sympy->quantecon) (1.3.0)
      @@ -410,7 +421,7 @@ 

      16.3.2. A Multithreaded Ufunc -
      -
      CPU times: user 5.71 s, sys: 76.5 ms, total: 5.79 s
      +
      CPU times: user 5.71 s, sys: 80.4 ms, total: 5.79 s
       Wall time: 5.78 s
       
      -
      -
      CPU times: user 6.67 s, sys: 8.09 ms, total: 6.67 s
      +
      CPU times: user 6.68 s, sys: 0 ns, total: 6.68 s
       Wall time: 1.94 s
       
      -
      -

      Let’s break this program down and see how it works.

      @@ -432,7 +443,7 @@

      3.3.3. Random Draws

      -_images/2652af5fe2f24ed6613002be0e47b01708afc1c60f919e0194d2bdf6bff20448.png +_images/6154208dd6c726533dc35427512aa99141b1ce968ff66197a88113f9f4e13da7.png

      The first line generates 100 (quasi) independent standard normals and stores @@ -465,7 +476,7 @@

      3.4.1. A Version with a For Loop

      -_images/0c62f3e22445e10336f6fb70365cb5bab7311924ed72b1b6c722ea1e8ba64ace.png +_images/0cf3dc7b3cf6b5b87a40a5ab41585f10ebeb6ec390468f24c59a37475f688a8f.png

      In brief,

      @@ -682,7 +693,7 @@

      3.4.5. While Loops

      -_images/25631be897438e17e244a12e2b57c9d2d2bd00a1f1c883c6292714556b845ac6.png +_images/8d467b70e3251af5dcf6b6f31a54e7f759af2b5f43f470b425e8021cd6054a7f.png

      A while loop will keep executing the code block delimited by indentation until the condition (i < ts_length) is satisfied.

      @@ -796,7 +807,7 @@

      3.6.

      -_images/fb56c3ad41af3ee3e742427de18a62a36451bfa4312dde875d40b7e189c53e10.png +_images/3e9ded9791985bfce2e23e78d830f51eda72cfc22792af4c042568eff1aea856.png

      @@ -840,7 +851,7 @@

      3.6.

      -_images/210efdaf183777a11225b69c02d78f6f8ceb7db3a9d90ad04170cf80ba2ad9eb.png +_images/e2f76adfc69b0dc32cb085c644cb80ed472a7dd2244370d25cb08b7c6deb0af4.png
      -_images/5ac4e72f16b93321d6c3afcdb215688bef0e3575dbc6b10a34fb79c8113e3e21.png +_images/5112afbdff61c6d49756cf9ca79ccffc092d76b72e7fa640df5be7d705bcc4f0.png
      @@ -957,7 +968,7 @@

      3.6.

      -_images/c05f56d8d6a3644fea0af5039e410dc1232b7821f7dcf69c6f7b913f434e18d8.png +_images/251562c4df22a6725c80ee2d2b4a40cffd405ac425b998165d5a1399859b7c94.png

      Here’s a shorter way to write the same thing:

      @@ -978,7 +989,7 @@

      3.6.

      -_images/3fd59eab0c555bdde550b775a40f80d4b347ea0def6ad43411c7c4923cd6ed2f.png +_images/7bd95126c06598f89b147761206a393788fa3e479a34080eb1afc64cf9529420.png
      @@ -1048,7 +1059,7 @@

      3.6.

      diff --git a/python_oop.html b/python_oop.html index bb676b32..3f2b85a9 100644 --- a/python_oop.html +++ b/python_oop.html @@ -71,7 +71,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -224,8 +224,19 @@

      OOP II: Building Classes

      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

      @@ -592,7 +603,7 @@

      7.3.1.3. Details

      -
      array([0.82611127, 0.51305663, 0.31157534])
      +
      array([0.28365394, 0.30195851, 0.83421157])
       
      @@ -357,7 +368,7 @@

      12.3.1. Random Variables and Distributio

      -_images/0dec33e80f7cea34d2667126d3b9a9616017b99c8b6df4f6e15ee71881b35d4a.png +_images/ba96eeb64424bdfb72fc3a71ebcc22ebdcb788cc5ee28be8ca6010e10df4dbab.png

      The object q that represents the distribution has additional useful methods, including

      @@ -422,7 +433,7 @@

      12.3.2. Alternative Syntax -_images/ffe5035500ab04c118ba7551f3d8fbfb9524e3bd3124e0b34b147a74a684ad13.png +_images/4871b72289c24e1db2d5762b16509c102a2c857b42cf631614f730199eb6bf01.png

      @@ -442,7 +453,7 @@

      12.3.3. Other Goodies in scipy.stats

      -
      (1.9945250936272352, -0.0004787982927113993)
      +
      (1.995172323965754, 0.011553895772083343)
       
      @@ -618,7 +629,7 @@

      12.4.3. Hybrid Methods -
      20.4 µs ± 54.9 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)
      +
      20.1 µs ± 170 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)
       
      @@ -630,7 +641,7 @@

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100644 --- a/status.html +++ b/status.html @@ -71,7 +71,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -197,8 +197,19 @@

      Execution Statistics

      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

      @@ -223,141 +234,141 @@

      22. Execution Statistics

      about_py

      -

      2023-12-14 03:45

      +

      2023-12-20 22:51

      cache

      -

      2.85

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      2.91

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      -

      2023-12-14 03:45

      +

      2023-12-20 22:51

      cache

      -

      2.09

      +

      2.25

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      -

      2023-12-14 03:45

      +

      2023-12-20 22:51

      cache

      -

      2.04

      +

      1.89

      getting_started

      -

      2023-12-14 03:45

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      2023-12-20 22:51

      cache

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      1.56

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      cache

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      4.72

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      2023-12-14 03:45

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      10.33

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      10.09

      numba

      -

      2023-12-14 03:46

      +

      2023-12-20 22:52

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      12.73

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      numpy

      -

      2023-12-14 03:46

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      2023-12-20 22:52

      cache

      -

      7.66

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      2023-12-14 03:46

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      2023-12-20 22:52

      cache

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      1.7

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      2023-12-20 22:53

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      -

      2023-12-14 03:48

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      2023-12-20 22:54

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      -

      2023-12-14 03:45

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      2023-12-20 22:51

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      2023-12-20 22:51

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      0.93

      writing_good_code

      -

      2023-12-14 03:48

      +

      2023-12-20 22:54

      cache

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      2.92

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      2.73

      diff --git a/sympy.html b/sympy.html index a213c3c3..f7cc2154 100644 --- a/sympy.html +++ b/sympy.html @@ -71,7 +71,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -230,8 +230,19 @@

      SymPy

      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

      @@ -970,7 +981,7 @@

      14.5.

      -_images/eb11f46e026405d270898db60b7b394e12f60649ada255506df3d9b2598161ca.png +_images/c2f7addbf4cd22a3528c75268345a17c7e11b85a0eff8e7e2f1212964b5c10d0.png

      Similar to Matplotlib, SymPy provides an interface to customize the graph

      @@ -990,7 +1001,7 @@

      14.5.

      -_images/d2c0e59982295ff5c04b50cb39d4d6f73f5398740241077a43fc456b2083b288.png +_images/48980d3400dceb4e30381ea44548a195e86c75c6815a647c7b1c479b71ff177e.png

      It also supports plotting implicit functions and visualizing inequalities

      @@ -1001,7 +1012,7 @@

      14.5.

      -_images/d7b328c73c364652baa059fec574a4ddad8061b47971d32e222df434cc2b0abe.png +_images/743fc5b70e4293f2e210d5e545db0ed16aaee57de16fd63cf078f9478f60f7da.png
      -_images/84f24c5862fe7384e7d8e035435a9431f17bb2a0e72c5b6e286ed8b84ddc8418.png +_images/eb0e75e8493678aa7204ee5b98dfbe52e44acbb0e00704162c74929cd58d2fc5.png

      and visualizations in three-dimensional space

      @@ -1148,7 +1159,7 @@

      14.6.

      -_images/b5acd93b05fee42eafb3d01974d5af75aad14316ce23f0804b686ec4c62ac3b6.png +_images/45758658e9cf9deaeab19f3adab3ff4ce77b8b51937eb52a1f71845e4ee45660.png

      We invite you to play with the parameters and see how the contract curves change and think about the following two questions:

      diff --git a/troubleshooting.html b/troubleshooting.html index 308d92dc..216000e4 100644 --- a/troubleshooting.html +++ b/troubleshooting.html @@ -71,7 +71,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -204,8 +204,19 @@

      Troubleshooting

      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

      diff --git a/workspace.html b/workspace.html index 2c8d95c2..d805bca9 100644 --- a/workspace.html +++ b/workspace.html @@ -71,7 +71,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -216,8 +216,19 @@

      Writing Longer Programs

      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

      diff --git a/writing_good_code.html b/writing_good_code.html index 548e6c9b..39c5920f 100644 --- a/writing_good_code.html +++ b/writing_good_code.html @@ -71,7 +71,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -221,8 +221,19 @@

      Writing Good Code

      + +

      + + + Thomas J. Sargent + + + + and John Stachurski + + +

      -

      Thomas J. Sargent & John Stachurski

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  • [1] Wikipedia defines munging as cleaning data from one raw form into a structured, purged one." @@ -1773,7 +1773,7 @@ } ], "metadata": { - "date": 1702956202.7126179, + "date": 1703113307.9559584, "filename": "pandas.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/parallelization.ipynb b/_notebooks/parallelization.ipynb index 494023a7..f8b7bfe4 100644 --- a/_notebooks/parallelization.ipynb +++ b/_notebooks/parallelization.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "85a1e9d7", + "id": "dc84f4cd", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "a1c45fe9", + "id": "f6a00374", "metadata": {}, "source": [ "# Parallelization" @@ -24,7 +24,7 @@ }, { "cell_type": "markdown", - "id": "3c476e61", + "id": "b4fc7780", "metadata": {}, "source": [ "## Contents\n", @@ -39,7 +39,7 @@ }, { "cell_type": "markdown", - "id": "fb6a09d5", + "id": "cecd783c", "metadata": {}, "source": [ "In addition to what’s in Anaconda, this lecture will need the following libraries:" @@ -48,7 +48,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0b67d122", + "id": "25a29034", "metadata": { "hide-output": false }, @@ -59,7 +59,7 @@ }, { "cell_type": "markdown", - "id": "fb2ff2ed", + "id": "7025eba3", "metadata": {}, "source": [ "## Overview\n", @@ -95,7 +95,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a9d290ea", + "id": "40120a54", "metadata": { "hide-output": false }, @@ -110,7 +110,7 @@ }, { "cell_type": "markdown", - "id": "03bc3a7f", + "id": "e9dbb02a", "metadata": {}, "source": [ "## Types of Parallelization\n", @@ -123,7 +123,7 @@ }, { "cell_type": "markdown", - "id": "d7141f3f", + "id": "4f3e8e44", "metadata": {}, "source": [ "### Multiprocessing\n", @@ -144,7 +144,7 @@ }, { "cell_type": "markdown", - "id": "32adfd7b", + "id": "5350e739", "metadata": {}, "source": [ "### Multithreading\n", @@ -162,7 +162,7 @@ }, { "cell_type": "markdown", - "id": "49a97f1a", + "id": "57786749", "metadata": {}, "source": [ "### Advantages and Disadvantages\n", @@ -182,7 +182,7 @@ }, { "cell_type": "markdown", - "id": "accf1902", + "id": "dcedf235", "metadata": {}, "source": [ "## Implicit Multithreading in NumPy\n", @@ -201,7 +201,7 @@ }, { "cell_type": "markdown", - "id": "babb80fe", + "id": "f270bea5", "metadata": {}, "source": [ "### A Matrix Operation\n", @@ -215,7 +215,7 @@ { "cell_type": "code", "execution_count": null, - "id": "29c12de8", + "id": "86f3e4f8", "metadata": { "hide-output": false }, @@ -230,7 +230,7 @@ }, { "cell_type": "markdown", - "id": "fea1b316", + "id": "db901c62", "metadata": {}, "source": [ "Now, let’s look at the output of the htop system monitor on our machine while\n", @@ -247,7 +247,7 @@ }, { "cell_type": "markdown", - "id": "bd2eb13b", + "id": "476522ce", "metadata": {}, "source": [ "### A Multithreaded Ufunc\n", @@ -261,7 +261,7 @@ { "cell_type": "code", "execution_count": null, - "id": "05b12914", + "id": "af3336ad", "metadata": { "hide-output": false }, @@ -277,7 +277,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f6556059", + "id": "0893de93", "metadata": { "hide-output": false }, @@ -288,7 +288,7 @@ }, { "cell_type": "markdown", - "id": "6d985449", + "id": "fdc8c5cf", "metadata": {}, "source": [ "If you have a system monitor such as htop (Linux/Mac) or perfmon\n", @@ -304,7 +304,7 @@ }, { "cell_type": "markdown", - "id": "b14c77d8", + "id": "2c6029de", "metadata": {}, "source": [ "### A Comparison with Numba\n", @@ -319,7 +319,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7fd1d622", + "id": "b74ecf0b", "metadata": { "hide-output": false }, @@ -337,7 +337,7 @@ { "cell_type": "code", "execution_count": null, - "id": "42f158a0", + "id": "c962d359", "metadata": { "hide-output": false }, @@ -348,7 +348,7 @@ }, { "cell_type": "markdown", - "id": "2efe55b8", + "id": "94cf4510", "metadata": {}, "source": [ "At least on our machine, the difference in the speed between the\n", @@ -379,7 +379,7 @@ }, { "cell_type": "markdown", - "id": "fb63dfbe", + "id": "74db1b7a", "metadata": {}, "source": [ "### Multithreading a Numba Ufunc\n", @@ -399,7 +399,7 @@ { "cell_type": "code", "execution_count": null, - "id": "41247e6a", + "id": "485cd7c7", "metadata": { "hide-output": false }, @@ -415,7 +415,7 @@ { "cell_type": "code", "execution_count": null, - "id": "02d8dbc3", + "id": "6d2ba8e0", "metadata": { "hide-output": false }, @@ -426,7 +426,7 @@ }, { "cell_type": "markdown", - "id": "cfcd9ffc", + "id": "20b7b40c", "metadata": {}, "source": [ "Now our code runs significantly faster than the NumPy version." @@ -434,7 +434,7 @@ }, { "cell_type": "markdown", - "id": "57e2431a", + "id": "4faf82f9", "metadata": {}, "source": [ "## Multithreaded Loops in Numba\n", @@ -471,7 +471,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7e5781c3", + "id": "1ea6c1ad", "metadata": { "hide-output": false }, @@ -497,7 +497,7 @@ }, { "cell_type": "markdown", - "id": "ccc7f2eb", + "id": "0190a210", "metadata": {}, "source": [ "Let’s have a look at how wealth evolves under this rule." @@ -506,7 +506,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7cbde10c", + "id": "beed0d48", "metadata": { "hide-output": false }, @@ -528,7 +528,7 @@ }, { "cell_type": "markdown", - "id": "5eaec825", + "id": "c09ca91f", "metadata": {}, "source": [ "Now let’s suppose that we have a large population of households and we want to\n", @@ -566,7 +566,7 @@ { "cell_type": "code", "execution_count": null, - "id": "81cc9ed1", + "id": "2b657351", "metadata": { "hide-output": false }, @@ -587,7 +587,7 @@ }, { "cell_type": "markdown", - "id": "30ba91f9", + "id": "73da2e8f", "metadata": {}, "source": [ "Let’s see how fast this runs:" @@ -596,7 +596,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0d3f46f6", + "id": "1b74cc57", "metadata": { "hide-output": false }, @@ -608,7 +608,7 @@ }, { "cell_type": "markdown", - "id": "b5bda68f", + "id": "db3a097b", "metadata": {}, "source": [ "To speed this up, we’re going to parallelize it via multithreading.\n", @@ -619,7 +619,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2fd945fb", + "id": "188ecfe7", "metadata": { "hide-output": false }, @@ -642,7 +642,7 @@ }, { "cell_type": "markdown", - "id": "28f9afde", + "id": "28176f31", "metadata": {}, "source": [ "Let’s look at the timing:" @@ -651,7 +651,7 @@ { "cell_type": "code", "execution_count": null, - "id": "85dbe28c", + "id": "4c7682fe", "metadata": { "hide-output": false }, @@ -663,7 +663,7 @@ }, { "cell_type": "markdown", - "id": "db2361a2", + "id": "9d75c7bc", "metadata": {}, "source": [ "The speed-up is significant." @@ -671,7 +671,7 @@ }, { "cell_type": "markdown", - "id": "3aada5f2", + "id": "51b6de78", "metadata": {}, "source": [ "### A Warning\n", @@ -691,7 +691,7 @@ }, { "cell_type": "markdown", - "id": "b891f535", + "id": "548131c3", "metadata": {}, "source": [ "## Exercises" @@ -699,7 +699,7 @@ }, { "cell_type": "markdown", - "id": "cf927bc5", + "id": "87e79ca4", "metadata": {}, "source": [ "## Exercise 16.1\n", @@ -726,7 +726,7 @@ }, { "cell_type": "markdown", - "id": "4abbb12c", + "id": "7ce2a5a2", "metadata": {}, "source": [ "## Solution to[ Exercise 16.1](https://python-programming.quantecon.org/#parallel_ex1)\n", @@ -737,7 +737,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3c4662cb", + "id": "c1e67758", "metadata": { "hide-output": false }, @@ -760,7 +760,7 @@ }, { "cell_type": "markdown", - "id": "7a066c43", + "id": "a27c57dc", "metadata": {}, "source": [ "Now let’s see how fast it runs:" @@ -769,7 +769,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8e8a4bed", + "id": "da506724", "metadata": { "hide-output": false }, @@ -781,7 +781,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3820cd0b", + "id": "b2ef7a35", "metadata": { "hide-output": false }, @@ -792,7 +792,7 @@ }, { "cell_type": "markdown", - "id": "a64250db", + "id": "0a1de106", "metadata": {}, "source": [ "By switching parallelization on and off (selecting `True` or\n", @@ -808,7 +808,7 @@ }, { "cell_type": "markdown", - "id": "68bc1a78", + "id": "6c23ac88", "metadata": {}, "source": [ "## Exercise 16.2\n", @@ -872,7 +872,7 @@ }, { "cell_type": "markdown", - "id": "fd855edf", + "id": "74653f46", "metadata": {}, "source": [ "## Solution to[ Exercise 16.2](https://python-programming.quantecon.org/#parallel_ex2)\n", @@ -889,7 +889,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f39b3378", + "id": "5d22c678", "metadata": { "hide-output": false }, @@ -928,7 +928,7 @@ }, { "cell_type": "markdown", - "id": "e01c7c3d", + "id": "9c2eb6de", "metadata": {}, "source": [ "Try swapping between `parallel=True` and `parallel=False` and noting the run time.\n", @@ -938,7 +938,7 @@ } ], "metadata": { - "date": 1702956202.744042, + "date": 1703113307.9871721, "filename": "parallelization.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/python_advanced_features.ipynb b/_notebooks/python_advanced_features.ipynb index d8e82792..de87c6f2 100644 --- a/_notebooks/python_advanced_features.ipynb +++ b/_notebooks/python_advanced_features.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "bba1c47a", + "id": "f5abcf8b", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "6fb22986", + "id": "e90abf6b", "metadata": {}, "source": [ "# More Language Features" @@ -24,7 +24,7 @@ }, { "cell_type": "markdown", - "id": "6ccddc67", + "id": "574c52fb", "metadata": {}, "source": [ "## Contents\n", @@ -40,7 +40,7 @@ }, { "cell_type": "markdown", - "id": "64241d6d", + "id": "c5081c88", "metadata": {}, "source": [ "## Overview\n", @@ -58,7 +58,7 @@ }, { "cell_type": "markdown", - "id": "bb36b330", + "id": "d5230bb1", "metadata": {}, "source": [ "## Iterables and Iterators\n", @@ -75,7 +75,7 @@ }, { "cell_type": "markdown", - "id": "2c08d927", + "id": "e062707c", "metadata": {}, "source": [ "### Iterators\n", @@ -97,7 +97,7 @@ { "cell_type": "code", "execution_count": null, - "id": "85fac3c2", + "id": "a66eb51b", "metadata": { "hide-output": false }, @@ -118,7 +118,7 @@ { "cell_type": "code", "execution_count": null, - "id": "943d7ac5", + "id": "a95630a3", "metadata": { "hide-output": false }, @@ -131,7 +131,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f6a04894", + "id": "dbf42c0f", "metadata": { "hide-output": false }, @@ -142,7 +142,7 @@ }, { "cell_type": "markdown", - "id": "b982f4d8", + "id": "14e35397", "metadata": {}, "source": [ "We see that file objects do indeed have a `__next__` method, and that calling this method returns the next line in the file.\n", @@ -154,7 +154,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2e38f8ab", + "id": "79e651be", "metadata": { "hide-output": false }, @@ -165,7 +165,7 @@ }, { "cell_type": "markdown", - "id": "9cf83667", + "id": "6508338d", "metadata": {}, "source": [ "The objects returned by `enumerate()` are also iterators" @@ -174,7 +174,7 @@ { "cell_type": "code", "execution_count": null, - "id": "35cd6e96", + "id": "27c819fd", "metadata": { "hide-output": false }, @@ -187,7 +187,7 @@ { "cell_type": "code", "execution_count": null, - "id": "15a64a63", + "id": "b9ee423e", "metadata": { "hide-output": false }, @@ -198,7 +198,7 @@ }, { "cell_type": "markdown", - "id": "20b8ef4a", + "id": "99b3d2d7", "metadata": {}, "source": [ "as are the reader objects from the `csv` module .\n", @@ -209,7 +209,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f8ff80a8", + "id": "7f2823ff", "metadata": { "hide-output": false }, @@ -232,7 +232,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f50e2fb9", + "id": "17a2cffa", "metadata": { "hide-output": false }, @@ -248,7 +248,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e53340ce", + "id": "e0d9aaef", "metadata": { "hide-output": false }, @@ -259,7 +259,7 @@ }, { "cell_type": "markdown", - "id": "ed655271", + "id": "4702b842", "metadata": {}, "source": [ "### Iterators in For Loops\n", @@ -273,7 +273,7 @@ }, { "cell_type": "markdown", - "id": "d9d23d07", + "id": "f3a8fc9a", "metadata": { "hide-output": false }, @@ -286,7 +286,7 @@ }, { "cell_type": "markdown", - "id": "a8aef27e", + "id": "f89ffc02", "metadata": {}, "source": [ "then the interpreter\n", @@ -301,7 +301,7 @@ }, { "cell_type": "markdown", - "id": "fc53599f", + "id": "9c1f613e", "metadata": { "hide-output": false }, @@ -315,7 +315,7 @@ }, { "cell_type": "markdown", - "id": "a6910d38", + "id": "4e1fa4db", "metadata": {}, "source": [ "The interpreter just keeps\n", @@ -329,7 +329,7 @@ }, { "cell_type": "markdown", - "id": "18b63d4a", + "id": "f5585794", "metadata": {}, "source": [ "### Iterables\n", @@ -342,7 +342,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4e5049cc", + "id": "c1b0a520", "metadata": { "hide-output": false }, @@ -354,7 +354,7 @@ }, { "cell_type": "markdown", - "id": "e4f71f0b", + "id": "aee8991e", "metadata": {}, "source": [ "So does that mean that a list is an iterator?\n", @@ -365,7 +365,7 @@ { "cell_type": "code", "execution_count": null, - "id": "694e5df2", + "id": "43b589af", "metadata": { "hide-output": false }, @@ -378,7 +378,7 @@ { "cell_type": "code", "execution_count": null, - "id": "99f9d52c", + "id": "234b9dda", "metadata": { "hide-output": false }, @@ -389,7 +389,7 @@ }, { "cell_type": "markdown", - "id": "de21fe4e", + "id": "49455430", "metadata": {}, "source": [ "So why can we iterate over a list in a `for` loop?\n", @@ -404,7 +404,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7b3ad238", + "id": "84ee3aa4", "metadata": { "hide-output": false }, @@ -417,7 +417,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b9eba212", + "id": "a848084c", "metadata": { "hide-output": false }, @@ -430,7 +430,7 @@ { "cell_type": "code", "execution_count": null, - "id": "31ac1215", + "id": "fb8e2f2c", "metadata": { "hide-output": false }, @@ -442,7 +442,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d081835f", + "id": "4b1c2140", "metadata": { "hide-output": false }, @@ -454,7 +454,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a09859ae", + "id": "bdd327ff", "metadata": { "hide-output": false }, @@ -465,7 +465,7 @@ }, { "cell_type": "markdown", - "id": "92539434", + "id": "aeee114d", "metadata": {}, "source": [ "Many other objects are iterable, such as dictionaries and tuples.\n", @@ -476,7 +476,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e25ea87f", + "id": "99b1316e", "metadata": { "hide-output": false }, @@ -487,7 +487,7 @@ }, { "cell_type": "markdown", - "id": "5365448b", + "id": "ef8172e9", "metadata": {}, "source": [ "To conclude our discussion of `for` loops\n", @@ -498,7 +498,7 @@ }, { "cell_type": "markdown", - "id": "b1067d61", + "id": "5084ad4f", "metadata": {}, "source": [ "### Iterators and built-ins\n", @@ -516,7 +516,7 @@ { "cell_type": "code", "execution_count": null, - "id": "298a2f52", + "id": "96a6e7c5", "metadata": { "hide-output": false }, @@ -529,7 +529,7 @@ { "cell_type": "code", "execution_count": null, - "id": "00b35ae6", + "id": "57b7520f", "metadata": { "hide-output": false }, @@ -542,7 +542,7 @@ { "cell_type": "code", "execution_count": null, - "id": "02007a52", + "id": "8f0877f1", "metadata": { "hide-output": false }, @@ -553,7 +553,7 @@ }, { "cell_type": "markdown", - "id": "61b2be34", + "id": "359c03b9", "metadata": {}, "source": [ "One thing to remember about iterators is that they are depleted by use" @@ -562,7 +562,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8da96ac4", + "id": "392b2b64", "metadata": { "hide-output": false }, @@ -576,7 +576,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c11b9127", + "id": "d2df87d0", "metadata": { "hide-output": false }, @@ -587,7 +587,7 @@ }, { "cell_type": "markdown", - "id": "49b55410", + "id": "d68790c8", "metadata": {}, "source": [ "## `*` and `**` Operators\n", @@ -599,7 +599,7 @@ }, { "cell_type": "markdown", - "id": "747e0e33", + "id": "100f3740", "metadata": {}, "source": [ "### Unpacking Arguments\n", @@ -616,7 +616,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5a90e321", + "id": "e1074c7a", "metadata": { "hide-output": false }, @@ -629,7 +629,7 @@ }, { "cell_type": "markdown", - "id": "8de579f8", + "id": "cfd09040", "metadata": {}, "source": [ "While the `print` function prints individual elements since `*` unpacks the list into individual arguments" @@ -638,7 +638,7 @@ { "cell_type": "code", "execution_count": null, - "id": "83647c19", + "id": "935f7964", "metadata": { "hide-output": false }, @@ -649,7 +649,7 @@ }, { "cell_type": "markdown", - "id": "d72de83b", + "id": "8079b7b3", "metadata": {}, "source": [ "Unpacking the list using `*` into positional arguments is equivalent to defining them individually when calling the function" @@ -658,7 +658,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f361f312", + "id": "8f053758", "metadata": { "hide-output": false }, @@ -669,7 +669,7 @@ }, { "cell_type": "markdown", - "id": "f7f80fc4", + "id": "0b325247", "metadata": {}, "source": [ "However, `*` operator is more convenient if we want to reuse them again" @@ -678,7 +678,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cb2f11e6", + "id": "814b3935", "metadata": { "hide-output": false }, @@ -691,7 +691,7 @@ }, { "cell_type": "markdown", - "id": "bfe94493", + "id": "1d5455d6", "metadata": {}, "source": [ "Similarly, `**` is used to unpack arguments.\n", @@ -711,7 +711,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0c0a4cc3", + "id": "69298f63", "metadata": { "hide-output": false }, @@ -769,7 +769,7 @@ }, { "cell_type": "markdown", - "id": "1d7b438d", + "id": "da44ec0b", "metadata": {}, "source": [ "In this example, `*` unpacked the zipped parameters `βs` and the output of `generate_data` function stored in tuples,\n", @@ -782,7 +782,7 @@ }, { "cell_type": "markdown", - "id": "dbe49c97", + "id": "af961410", "metadata": {}, "source": [ "### Arbitrary Arguments\n", @@ -797,7 +797,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f8d5d46a", + "id": "82d496f3", "metadata": { "hide-output": false }, @@ -808,7 +808,7 @@ }, { "cell_type": "markdown", - "id": "f0261949", + "id": "f8c2044f", "metadata": {}, "source": [ "We found `*` and `**` operators again in the context of the *function definition*.\n", @@ -821,7 +821,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3865cb26", + "id": "3910c7af", "metadata": { "hide-output": false }, @@ -838,7 +838,7 @@ }, { "cell_type": "markdown", - "id": "492d0287", + "id": "7ac6ecfc", "metadata": {}, "source": [ "The inputs are passed into the function and stored in a tuple.\n", @@ -849,7 +849,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8e143b7d", + "id": "e378e917", "metadata": { "hide-output": false }, @@ -861,7 +861,7 @@ }, { "cell_type": "markdown", - "id": "777f608b", + "id": "6ab189f9", "metadata": {}, "source": [ "Similarly, Python allows us to use `**kargs` to pass arbitrarily many *keyword arguments* into functions" @@ -870,7 +870,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f1c76b66", + "id": "4a32a0ab", "metadata": { "hide-output": false }, @@ -885,7 +885,7 @@ }, { "cell_type": "markdown", - "id": "22155370", + "id": "ed82a802", "metadata": {}, "source": [ "We can see Python uses a dictionary to store these keyword arguments.\n", @@ -896,7 +896,7 @@ { "cell_type": "code", "execution_count": null, - "id": "56240c33", + "id": "3174ca4a", "metadata": { "hide-output": false }, @@ -907,7 +907,7 @@ }, { "cell_type": "markdown", - "id": "d137585e", + "id": "c02ecd18", "metadata": {}, "source": [ "Overall, `*args` and `**kargs` are used when *defining a function*; they enable the function to take input with an arbitrary size.\n", @@ -917,7 +917,7 @@ }, { "cell_type": "markdown", - "id": "e8b1bb96", + "id": "a47ae841", "metadata": {}, "source": [ "## Decorators and Descriptors\n", @@ -934,7 +934,7 @@ }, { "cell_type": "markdown", - "id": "4b8194f6", + "id": "c612dec8", "metadata": {}, "source": [ "### Decorators\n", @@ -950,7 +950,7 @@ }, { "cell_type": "markdown", - "id": "3d7c0100", + "id": "a37a2e86", "metadata": {}, "source": [ "#### An Example\n", @@ -961,7 +961,7 @@ { "cell_type": "code", "execution_count": null, - "id": "081f91ea", + "id": "15574771", "metadata": { "hide-output": false }, @@ -980,7 +980,7 @@ }, { "cell_type": "markdown", - "id": "ee79d5e2", + "id": "d55686b0", "metadata": {}, "source": [ "Now suppose there’s a problem: occasionally negative numbers get fed to `f` and `g` in the calculations that follow.\n", @@ -1000,7 +1000,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f89a4e52", + "id": "06946a0c", "metadata": { "hide-output": false }, @@ -1021,7 +1021,7 @@ }, { "cell_type": "markdown", - "id": "057f0acc", + "id": "9881d43e", "metadata": {}, "source": [ "Notice however that there is some repetition here, in the form of two identical lines of code.\n", @@ -1041,7 +1041,7 @@ { "cell_type": "code", "execution_count": null, - "id": "655d8047", + "id": "9f708a1f", "metadata": { "hide-output": false }, @@ -1068,7 +1068,7 @@ }, { "cell_type": "markdown", - "id": "ae26e95b", + "id": "44b61bb7", "metadata": {}, "source": [ "This looks complicated so let’s work through it slowly.\n", @@ -1089,7 +1089,7 @@ }, { "cell_type": "markdown", - "id": "20fe644a", + "id": "8e96c453", "metadata": {}, "source": [ "#### Enter Decorators\n", @@ -1105,7 +1105,7 @@ { "cell_type": "code", "execution_count": null, - "id": "121adbfb", + "id": "6559048c", "metadata": { "hide-output": false }, @@ -1117,7 +1117,7 @@ }, { "cell_type": "markdown", - "id": "6ab7348f", + "id": "e6769d19", "metadata": {}, "source": [ "They may well miss the line `f = check_nonneg(f)`.\n", @@ -1130,7 +1130,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8127f25e", + "id": "be1732e1", "metadata": { "hide-output": false }, @@ -1148,7 +1148,7 @@ }, { "cell_type": "markdown", - "id": "4b8c9f1f", + "id": "d603b745", "metadata": {}, "source": [ "with" @@ -1157,7 +1157,7 @@ { "cell_type": "code", "execution_count": null, - "id": "405303e3", + "id": "313a0743", "metadata": { "hide-output": false }, @@ -1174,7 +1174,7 @@ }, { "cell_type": "markdown", - "id": "4a91b8b3", + "id": "7b2708a5", "metadata": {}, "source": [ "These two pieces of code do exactly the same thing.\n", @@ -1194,7 +1194,7 @@ }, { "cell_type": "markdown", - "id": "634d58b4", + "id": "bccc732a", "metadata": {}, "source": [ "### Descriptors\n", @@ -1214,7 +1214,7 @@ { "cell_type": "code", "execution_count": null, - "id": "99806c36", + "id": "a20a053c", "metadata": { "hide-output": false }, @@ -1231,7 +1231,7 @@ }, { "cell_type": "markdown", - "id": "0742feb4", + "id": "40659bb4", "metadata": {}, "source": [ "One potential problem we might have here is that a user alters one of these\n", @@ -1241,7 +1241,7 @@ { "cell_type": "code", "execution_count": null, - "id": "afd64eae", + "id": "99a5587e", "metadata": { "hide-output": false }, @@ -1254,7 +1254,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e472f5fd", + "id": "56efd8e1", "metadata": { "hide-output": false }, @@ -1266,7 +1266,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7a4704f4", + "id": "c6b3b440", "metadata": { "hide-output": false }, @@ -1278,7 +1278,7 @@ }, { "cell_type": "markdown", - "id": "d5a77d60", + "id": "1e12db5b", "metadata": {}, "source": [ "In the last two lines we see that `miles` and `kms` are out of sync.\n", @@ -1288,7 +1288,7 @@ }, { "cell_type": "markdown", - "id": "1587f8e5", + "id": "a27ae584", "metadata": {}, "source": [ "#### A Solution\n", @@ -1307,7 +1307,7 @@ { "cell_type": "code", "execution_count": null, - "id": "180766b5", + "id": "ce57f39c", "metadata": { "hide-output": false }, @@ -1339,7 +1339,7 @@ }, { "cell_type": "markdown", - "id": "1230503a", + "id": "ef8fbbff", "metadata": {}, "source": [ "First let’s check that we get the desired behavior" @@ -1348,7 +1348,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7ca2b418", + "id": "29e42ad3", "metadata": { "hide-output": false }, @@ -1361,7 +1361,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5877874b", + "id": "cd1a4843", "metadata": { "hide-output": false }, @@ -1373,7 +1373,7 @@ }, { "cell_type": "markdown", - "id": "168e7bc9", + "id": "2b361ee1", "metadata": {}, "source": [ "Yep, that’s what we want — `car.kms` is automatically updated." @@ -1381,7 +1381,7 @@ }, { "cell_type": "markdown", - "id": "4d62da88", + "id": "6de66732", "metadata": {}, "source": [ "#### How it Works\n", @@ -1406,7 +1406,7 @@ }, { "cell_type": "markdown", - "id": "6aa931f3", + "id": "e387442c", "metadata": {}, "source": [ "#### Decorators and Properties\n", @@ -1422,7 +1422,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d1af2a4a", + "id": "e7054385", "metadata": { "hide-output": false }, @@ -1455,7 +1455,7 @@ }, { "cell_type": "markdown", - "id": "742bf11c", + "id": "66f30d56", "metadata": {}, "source": [ "We won’t go through all the details here.\n", @@ -1468,7 +1468,7 @@ }, { "cell_type": "markdown", - "id": "ccd9adaa", + "id": "17bb1211", "metadata": {}, "source": [ "## Generators\n", @@ -1482,7 +1482,7 @@ }, { "cell_type": "markdown", - "id": "b2854be4", + "id": "4971d060", "metadata": {}, "source": [ "### Generator Expressions\n", @@ -1497,7 +1497,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7d2d1cd4", + "id": "55ee308a", "metadata": { "hide-output": false }, @@ -1510,7 +1510,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0ac4bc33", + "id": "b4a27216", "metadata": { "hide-output": false }, @@ -1523,7 +1523,7 @@ { "cell_type": "code", "execution_count": null, - "id": "361335a3", + "id": "5e8607db", "metadata": { "hide-output": false }, @@ -1534,7 +1534,7 @@ }, { "cell_type": "markdown", - "id": "bc4c3fbb", + "id": "1283d981", "metadata": {}, "source": [ "And here is the generator expression" @@ -1543,7 +1543,7 @@ { "cell_type": "code", "execution_count": null, - "id": "474b0286", + "id": "5e0bae9f", "metadata": { "hide-output": false }, @@ -1557,7 +1557,7 @@ { "cell_type": "code", "execution_count": null, - "id": "90221aa0", + "id": "151feac9", "metadata": { "hide-output": false }, @@ -1569,7 +1569,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3ac2ff6d", + "id": "87342930", "metadata": { "hide-output": false }, @@ -1581,7 +1581,7 @@ { "cell_type": "code", "execution_count": null, - "id": "40439111", + "id": "23f003a4", "metadata": { "hide-output": false }, @@ -1592,7 +1592,7 @@ }, { "cell_type": "markdown", - "id": "6889e496", + "id": "96b93f7a", "metadata": {}, "source": [ "Since `sum()` can be called on iterators, we can do this" @@ -1601,7 +1601,7 @@ { "cell_type": "code", "execution_count": null, - "id": "718a7ed5", + "id": "327efa24", "metadata": { "hide-output": false }, @@ -1612,7 +1612,7 @@ }, { "cell_type": "markdown", - "id": "6c7eabe8", + "id": "af0a844b", "metadata": {}, "source": [ "The function `sum()` calls `next()` to get the items, adds successive terms.\n", @@ -1623,7 +1623,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7ecec99b", + "id": "69fbcae0", "metadata": { "hide-output": false }, @@ -1634,7 +1634,7 @@ }, { "cell_type": "markdown", - "id": "d1ca5497", + "id": "293b58d9", "metadata": {}, "source": [ "### Generator Functions\n", @@ -1648,7 +1648,7 @@ }, { "cell_type": "markdown", - "id": "c3012220", + "id": "56299578", "metadata": {}, "source": [ "#### Example 1\n", @@ -1659,7 +1659,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0f6b0105", + "id": "d1feadfa", "metadata": { "hide-output": false }, @@ -1673,7 +1673,7 @@ }, { "cell_type": "markdown", - "id": "86e3caf4", + "id": "1cfe11cb", "metadata": {}, "source": [ "It looks like a function, but uses a keyword `yield` that we haven’t met before.\n", @@ -1684,7 +1684,7 @@ { "cell_type": "code", "execution_count": null, - "id": "194de387", + "id": "14af36b4", "metadata": { "hide-output": false }, @@ -1696,7 +1696,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7518b0cd", + "id": "1c59c3a4", "metadata": { "hide-output": false }, @@ -1709,7 +1709,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e4fe5086", + "id": "70a5c066", "metadata": { "hide-output": false }, @@ -1721,7 +1721,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2491db5c", + "id": "ff1e3213", "metadata": { "hide-output": false }, @@ -1733,7 +1733,7 @@ { "cell_type": "code", "execution_count": null, - "id": "dce9ca59", + "id": "ab167ba7", "metadata": { "hide-output": false }, @@ -1745,7 +1745,7 @@ { "cell_type": "code", "execution_count": null, - "id": "aa8136f3", + "id": "ce0721a6", "metadata": { "hide-output": false }, @@ -1756,7 +1756,7 @@ }, { "cell_type": "markdown", - "id": "a599bb42", + "id": "4e4ccfe0", "metadata": {}, "source": [ "The generator function `f()` is used to create generator objects (in this case `gen`).\n", @@ -1775,7 +1775,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0eb6cb9b", + "id": "ddb9e7bc", "metadata": { "hide-output": false }, @@ -1789,7 +1789,7 @@ }, { "cell_type": "markdown", - "id": "a7729e0b", + "id": "0848a05e", "metadata": {}, "source": [ "and continues until the next `yield` statement.\n", @@ -1801,7 +1801,7 @@ }, { "cell_type": "markdown", - "id": "71997a55", + "id": "a7b70de0", "metadata": {}, "source": [ "#### Example 2\n", @@ -1812,7 +1812,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f19a83ad", + "id": "d250512c", "metadata": { "hide-output": false }, @@ -1826,7 +1826,7 @@ }, { "cell_type": "markdown", - "id": "a3469b75", + "id": "3220aa01", "metadata": {}, "source": [ "Let’s see how it works" @@ -1835,7 +1835,7 @@ { "cell_type": "code", "execution_count": null, - "id": "085ba1a8", + "id": "17034277", "metadata": { "hide-output": false }, @@ -1847,7 +1847,7 @@ { "cell_type": "code", "execution_count": null, - "id": "eb70a862", + "id": "5e18067e", "metadata": { "hide-output": false }, @@ -1860,7 +1860,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d662bb56", + "id": "890980e9", "metadata": { "hide-output": false }, @@ -1872,7 +1872,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6646a10e", + "id": "d91e4c55", "metadata": { "hide-output": false }, @@ -1884,7 +1884,7 @@ { "cell_type": "code", "execution_count": null, - "id": "010fd3f2", + "id": "409b37fb", "metadata": { "hide-output": false }, @@ -1896,7 +1896,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a54c805c", + "id": "78fa5f2e", "metadata": { "hide-output": false }, @@ -1907,7 +1907,7 @@ }, { "cell_type": "markdown", - "id": "64a2e435", + "id": "32351114", "metadata": {}, "source": [ "The call `gen = g(2)` binds `gen` to a generator.\n", @@ -1927,7 +1927,7 @@ { "cell_type": "code", "execution_count": null, - "id": "af72430c", + "id": "7e4833bd", "metadata": { "hide-output": false }, @@ -1941,7 +1941,7 @@ }, { "cell_type": "markdown", - "id": "cc405406", + "id": "cb0f8d4e", "metadata": {}, "source": [ "When `x < 100` fails, the generator throws a `StopIteration` error.\n", @@ -1952,7 +1952,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6fb7a8e9", + "id": "1239bb83", "metadata": { "hide-output": false }, @@ -1966,7 +1966,7 @@ }, { "cell_type": "markdown", - "id": "20d031f2", + "id": "8a5e8da8", "metadata": {}, "source": [ "### Advantages of Iterators\n", @@ -1981,7 +1981,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f3a01fe2", + "id": "6da8bbc9", "metadata": { "hide-output": false }, @@ -1995,7 +1995,7 @@ }, { "cell_type": "markdown", - "id": "aac0005f", + "id": "b932579f", "metadata": {}, "source": [ "But we are creating two huge lists here, `range(n)` and `draws`.\n", @@ -2008,7 +2008,7 @@ { "cell_type": "code", "execution_count": null, - "id": "85192d8f", + "id": "77b65e01", "metadata": { "hide-output": false }, @@ -2020,7 +2020,7 @@ }, { "cell_type": "markdown", - "id": "2213ebad", + "id": "2d2cc27c", "metadata": {}, "source": [ "We can avoid these problems using iterators.\n", @@ -2031,7 +2031,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cce9e129", + "id": "d45b873e", "metadata": { "hide-output": false }, @@ -2046,7 +2046,7 @@ }, { "cell_type": "markdown", - "id": "d6685029", + "id": "96eb192c", "metadata": {}, "source": [ "Now let’s do the sum" @@ -2055,7 +2055,7 @@ { "cell_type": "code", "execution_count": null, - "id": "24cd8fba", + "id": "d7baf152", "metadata": { "hide-output": false }, @@ -2069,7 +2069,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ca70dac4", + "id": "efab2980", "metadata": { "hide-output": false }, @@ -2080,7 +2080,7 @@ }, { "cell_type": "markdown", - "id": "def731dc", + "id": "3ac7f33e", "metadata": {}, "source": [ "In summary, iterables\n", @@ -2091,7 +2091,7 @@ }, { "cell_type": "markdown", - "id": "529196b0", + "id": "f83d2d73", "metadata": {}, "source": [ "## Exercises" @@ -2099,7 +2099,7 @@ }, { "cell_type": "markdown", - "id": "9546a2fd", + "id": "c47388de", "metadata": {}, "source": [ "## Exercise 19.1\n", @@ -2109,7 +2109,7 @@ }, { "cell_type": "markdown", - "id": "42cd9dbf", + "id": "249a68c2", "metadata": { "hide-output": false }, @@ -2133,7 +2133,7 @@ }, { "cell_type": "markdown", - "id": "b2e51f23", + "id": "4d543680", "metadata": {}, "source": [ "## Solution to[ Exercise 19.1](https://python-programming.quantecon.org/#paf_ex1)\n", @@ -2144,7 +2144,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c2d4c030", + "id": "0b8835d6", "metadata": { "hide-output": false }, @@ -2174,7 +2174,7 @@ } ], "metadata": { - "date": 1702956202.803595, + "date": 1703113308.0477684, "filename": "python_advanced_features.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/python_by_example.ipynb b/_notebooks/python_by_example.ipynb index b646a568..2d7ad983 100644 --- a/_notebooks/python_by_example.ipynb +++ b/_notebooks/python_by_example.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "1c762472", + "id": "ec80aaf1", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "349b740e", + "id": "b0e93685", "metadata": {}, "source": [ "# An Introductory Example\n", @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "c4180bd6", + "id": "9ca59e4d", "metadata": {}, "source": [ "## Contents\n", @@ -43,7 +43,7 @@ }, { "cell_type": "markdown", - "id": "533428a9", + "id": "a903e5b7", "metadata": {}, "source": [ "## Overview\n", @@ -61,7 +61,7 @@ }, { "cell_type": "markdown", - "id": "cf9a2824", + "id": "379fafea", "metadata": {}, "source": [ "## The Task: Plotting a White Noise Process\n", @@ -83,7 +83,7 @@ }, { "cell_type": "markdown", - "id": "b9166bdf", + "id": "d813f0e7", "metadata": {}, "source": [ "## Version 1\n", @@ -96,7 +96,7 @@ { "cell_type": "code", "execution_count": null, - "id": "36a82820", + "id": "136139a8", "metadata": { "hide-output": false }, @@ -112,7 +112,7 @@ }, { "cell_type": "markdown", - "id": "100ad0c5", + "id": "b5804243", "metadata": {}, "source": [ "Let’s break this program down and see how it works.\n", @@ -123,7 +123,7 @@ }, { "cell_type": "markdown", - "id": "6f6c0771", + "id": "9dee6cbb", "metadata": {}, "source": [ "### Imports\n", @@ -147,7 +147,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6c8b17a6", + "id": "c8cd61f4", "metadata": { "hide-output": false }, @@ -159,7 +159,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4ec80828", + "id": "64077d2a", "metadata": { "hide-output": false }, @@ -170,7 +170,7 @@ }, { "cell_type": "markdown", - "id": "1467d5de", + "id": "bd0774c4", "metadata": {}, "source": [ "We could also use the following syntax:" @@ -179,7 +179,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5d89d88a", + "id": "7b07633d", "metadata": { "hide-output": false }, @@ -192,7 +192,7 @@ }, { "cell_type": "markdown", - "id": "3bc47bd5", + "id": "7b17a08f", "metadata": {}, "source": [ "But the former method (using the short name `np`) is convenient and more standard." @@ -200,7 +200,7 @@ }, { "cell_type": "markdown", - "id": "92541c90", + "id": "b61a8f54", "metadata": {}, "source": [ "#### Why So Many Imports?\n", @@ -215,7 +215,7 @@ }, { "cell_type": "markdown", - "id": "aca5fc6c", + "id": "8b9442ef", "metadata": {}, "source": [ "#### Packages\n", @@ -238,7 +238,7 @@ }, { "cell_type": "markdown", - "id": "fa85a680", + "id": "fb910425", "metadata": { "hide-output": false }, @@ -252,7 +252,7 @@ }, { "cell_type": "markdown", - "id": "65539451", + "id": "7bb44b10", "metadata": {}, "source": [ "#### Subpackages\n", @@ -270,7 +270,7 @@ }, { "cell_type": "markdown", - "id": "15c7460e", + "id": "96c8d15e", "metadata": {}, "source": [ "### Importing Names Directly\n", @@ -281,7 +281,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ed3b58d7", + "id": "fcbb4940", "metadata": { "hide-output": false }, @@ -294,7 +294,7 @@ }, { "cell_type": "markdown", - "id": "e3d895d5", + "id": "9f44f0ca", "metadata": {}, "source": [ "Here’s another way to access NumPy’s square root function" @@ -303,7 +303,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5c58352d", + "id": "983adeb3", "metadata": { "hide-output": false }, @@ -316,7 +316,7 @@ }, { "cell_type": "markdown", - "id": "d7fbd02d", + "id": "15616536", "metadata": {}, "source": [ "This is also fine.\n", @@ -331,7 +331,7 @@ }, { "cell_type": "markdown", - "id": "e923e370", + "id": "667d7e63", "metadata": {}, "source": [ "### Random Draws\n", @@ -343,7 +343,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e8265cce", + "id": "9a369e9a", "metadata": { "hide-output": false }, @@ -356,7 +356,7 @@ }, { "cell_type": "markdown", - "id": "cfb6cf83", + "id": "22006325", "metadata": {}, "source": [ "The first line generates 100 (quasi) independent standard normals and stores\n", @@ -369,7 +369,7 @@ }, { "cell_type": "markdown", - "id": "f23c6220", + "id": "a7500ff8", "metadata": {}, "source": [ "## Alternative Implementations\n", @@ -384,7 +384,7 @@ }, { "cell_type": "markdown", - "id": "60e8d6e4", + "id": "0274b790", "metadata": {}, "source": [ "### A Version with a For Loop\n", @@ -398,7 +398,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ef3e27ac", + "id": "f1088637", "metadata": { "hide-output": false }, @@ -417,7 +417,7 @@ }, { "cell_type": "markdown", - "id": "e4559ab7", + "id": "67209ae3", "metadata": {}, "source": [ "In brief,\n", @@ -437,7 +437,7 @@ }, { "cell_type": "markdown", - "id": "537843a2", + "id": "dda1276b", "metadata": {}, "source": [ "### Lists\n", @@ -456,7 +456,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e33fb352", + "id": "02ab7051", "metadata": { "hide-output": false }, @@ -468,7 +468,7 @@ }, { "cell_type": "markdown", - "id": "1ab15128", + "id": "81560e49", "metadata": {}, "source": [ "The first element of `x` is an [integer](https://en.wikipedia.org/wiki/Integer_%28computer_science%29), the next is a [string](https://en.wikipedia.org/wiki/String_%28computer_science%29), and the third is a [Boolean value](https://en.wikipedia.org/wiki/Boolean_data_type).\n", @@ -479,7 +479,7 @@ { "cell_type": "code", "execution_count": null, - "id": "87d6802c", + "id": "c04c0571", "metadata": { "hide-output": false }, @@ -491,7 +491,7 @@ { "cell_type": "code", "execution_count": null, - "id": "73b2f921", + "id": "27d68acd", "metadata": { "hide-output": false }, @@ -503,7 +503,7 @@ }, { "cell_type": "markdown", - "id": "4d27a080", + "id": "5c92a52a", "metadata": {}, "source": [ "Here `append()` is what’s called a *method*, which is a function “attached to” an object—in this case, the list `x`.\n", @@ -520,7 +520,7 @@ { "cell_type": "code", "execution_count": null, - "id": "31d6b67f", + "id": "300c34a8", "metadata": { "hide-output": false }, @@ -532,7 +532,7 @@ { "cell_type": "code", "execution_count": null, - "id": "39df53fe", + "id": "a49f07d9", "metadata": { "hide-output": false }, @@ -544,7 +544,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1821c298", + "id": "7e8fbb3d", "metadata": { "hide-output": false }, @@ -555,7 +555,7 @@ }, { "cell_type": "markdown", - "id": "eb1349aa", + "id": "429b29c8", "metadata": {}, "source": [ "Lists in Python are zero-based (as in C, Java or Go), so the first element is referenced by `x[0]`" @@ -564,7 +564,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f9fdf2ab", + "id": "f809c9cc", "metadata": { "hide-output": false }, @@ -576,7 +576,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b657f8cb", + "id": "138ba23a", "metadata": { "hide-output": false }, @@ -587,7 +587,7 @@ }, { "cell_type": "markdown", - "id": "335e73f4", + "id": "bc3b3b64", "metadata": {}, "source": [ "### The For Loop\n", @@ -600,7 +600,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9b8bcad4", + "id": "20f41fc4", "metadata": { "hide-output": false }, @@ -613,7 +613,7 @@ }, { "cell_type": "markdown", - "id": "9807bb57", + "id": "c157b183", "metadata": {}, "source": [ "Python executes the two indented lines `ts_length` times before moving on.\n", @@ -630,7 +630,7 @@ { "cell_type": "code", "execution_count": null, - "id": "dea563d0", + "id": "0f80996c", "metadata": { "hide-output": false }, @@ -643,7 +643,7 @@ }, { "cell_type": "markdown", - "id": "05d76c7b", + "id": "08bdcec9", "metadata": {}, "source": [ "This example helps to clarify how the `for` loop works: When we execute a\n", @@ -652,7 +652,7 @@ }, { "cell_type": "markdown", - "id": "11bbdf7e", + "id": "f093b4f8", "metadata": { "hide-output": false }, @@ -665,7 +665,7 @@ }, { "cell_type": "markdown", - "id": "e8e55f89", + "id": "671f6cde", "metadata": {}, "source": [ "The Python interpreter performs the following:\n", @@ -679,7 +679,7 @@ }, { "cell_type": "markdown", - "id": "2ba838c4", + "id": "e1a5beed", "metadata": {}, "source": [ "### A Comment on Indentation\n", @@ -711,7 +711,7 @@ }, { "cell_type": "markdown", - "id": "61946c7b", + "id": "47761ed7", "metadata": {}, "source": [ "### While Loops\n", @@ -729,7 +729,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6e4ae054", + "id": "f770d49e", "metadata": { "hide-output": false }, @@ -748,7 +748,7 @@ }, { "cell_type": "markdown", - "id": "22f44633", + "id": "4873ac07", "metadata": {}, "source": [ "A while loop will keep executing the code block delimited by indentation until the condition (`i < ts_length`) is satisfied.\n", @@ -759,7 +759,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0aa6cba0", + "id": "912f67b1", "metadata": { "hide-output": false }, @@ -770,7 +770,7 @@ }, { "cell_type": "markdown", - "id": "f19a4dc9", + "id": "1e5d0b35", "metadata": {}, "source": [ "Note that\n", @@ -781,7 +781,7 @@ }, { "cell_type": "markdown", - "id": "0bc1acdb", + "id": "5d2b896e", "metadata": {}, "source": [ "## Another Application\n", @@ -806,7 +806,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7fe609e1", + "id": "c5157e8a", "metadata": { "hide-output": false }, @@ -827,7 +827,7 @@ }, { "cell_type": "markdown", - "id": "4179138f", + "id": "69680dbb", "metadata": {}, "source": [ "The statement `b = np.empty(T+1)` allocates storage in memory for `T+1`\n", @@ -845,7 +845,7 @@ }, { "cell_type": "markdown", - "id": "d8a8aa1e", + "id": "c08ed1ab", "metadata": {}, "source": [ "## Exercises\n", @@ -856,7 +856,7 @@ }, { "cell_type": "markdown", - "id": "ff7b0bba", + "id": "562890a2", "metadata": {}, "source": [ "## Exercise 3.1\n", @@ -878,7 +878,7 @@ { "cell_type": "code", "execution_count": null, - "id": "376361fa", + "id": "1e257949", "metadata": { "hide-output": false }, @@ -890,7 +890,7 @@ }, { "cell_type": "markdown", - "id": "028de704", + "id": "7bf8b9d5", "metadata": {}, "source": [ "Set $ T=200 $ and $ \\alpha = 0.9 $." @@ -898,7 +898,7 @@ }, { "cell_type": "markdown", - "id": "4916ef3b", + "id": "29dd4167", "metadata": {}, "source": [ "## Solution to[ Exercise 3.1](https://python-programming.quantecon.org/#pbe_ex1)\n", @@ -909,7 +909,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b707b7bc", + "id": "87090019", "metadata": { "hide-output": false }, @@ -929,7 +929,7 @@ }, { "cell_type": "markdown", - "id": "de2e01c7", + "id": "ba0f4365", "metadata": {}, "source": [ "## Exercise 3.2\n", @@ -947,7 +947,7 @@ }, { "cell_type": "markdown", - "id": "08a87f08", + "id": "3b5e6781", "metadata": {}, "source": [ "## Solution to[ Exercise 3.2](https://python-programming.quantecon.org/#pbe_ex2)" @@ -956,7 +956,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f67e3256", + "id": "5f69f1ba", "metadata": { "hide-output": false }, @@ -978,7 +978,7 @@ }, { "cell_type": "markdown", - "id": "553f93ee", + "id": "5834ca73", "metadata": {}, "source": [ ">**Note**\n", @@ -990,7 +990,7 @@ }, { "cell_type": "markdown", - "id": "3afbf8d0", + "id": "8cac9b42", "metadata": {}, "source": [ "## Exercise 3.3\n", @@ -1011,7 +1011,7 @@ }, { "cell_type": "markdown", - "id": "89961a1c", + "id": "6c8f5e25", "metadata": {}, "source": [ "## Solution to[ Exercise 3.3](https://python-programming.quantecon.org/#pbe_ex3)\n", @@ -1022,7 +1022,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b0c627f8", + "id": "deed3026", "metadata": { "hide-output": false }, @@ -1042,7 +1042,7 @@ }, { "cell_type": "markdown", - "id": "a909fa3a", + "id": "b9056dae", "metadata": {}, "source": [ "## Exercise 3.4\n", @@ -1059,7 +1059,7 @@ { "cell_type": "code", "execution_count": null, - "id": "baaf8919", + "id": "21523b25", "metadata": { "hide-output": false }, @@ -1071,7 +1071,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1312a298", + "id": "835195b0", "metadata": { "hide-output": false }, @@ -1086,7 +1086,7 @@ }, { "cell_type": "markdown", - "id": "3167d78f", + "id": "497c6d24", "metadata": {}, "source": [ "Now, write a new solution to Exercise 3 that does not use an existing function\n", @@ -1097,7 +1097,7 @@ }, { "cell_type": "markdown", - "id": "2f0371d9", + "id": "2718caac", "metadata": {}, "source": [ "## Solution to[ Exercise 3.4](https://python-programming.quantecon.org/#pbe_ex4)\n", @@ -1108,7 +1108,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f7ea9476", + "id": "1ecca20a", "metadata": { "hide-output": false }, @@ -1132,7 +1132,7 @@ }, { "cell_type": "markdown", - "id": "e0458ad7", + "id": "ea06b49a", "metadata": {}, "source": [ "Here’s a shorter way to write the same thing:" @@ -1141,7 +1141,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3146f05d", + "id": "866211a5", "metadata": { "hide-output": false }, @@ -1162,7 +1162,7 @@ }, { "cell_type": "markdown", - "id": "60e6f2af", + "id": "1870fdb6", "metadata": {}, "source": [ "## Exercise 3.5\n", @@ -1177,7 +1177,7 @@ { "cell_type": "code", "execution_count": null, - "id": "84a370e0", + "id": "040db02e", "metadata": { "hide-output": false }, @@ -1188,7 +1188,7 @@ }, { "cell_type": "markdown", - "id": "d4f26d40", + "id": "aaad6bfc", "metadata": {}, "source": [ "Your hints are as follows:\n", @@ -1200,7 +1200,7 @@ }, { "cell_type": "markdown", - "id": "dbb03695", + "id": "e6379328", "metadata": {}, "source": [ "## Solution to[ Exercise 3.5](https://python-programming.quantecon.org/#pbe_ex5)\n", @@ -1225,7 +1225,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d7f69bd7", + "id": "19e33cbd", "metadata": { "hide-output": false }, @@ -1255,7 +1255,7 @@ } ], "metadata": { - "date": 1702956202.847335, + "date": 1703113308.0920002, "filename": "python_by_example.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/python_essentials.ipynb b/_notebooks/python_essentials.ipynb index ae210bd0..eff36f8a 100644 --- a/_notebooks/python_essentials.ipynb +++ b/_notebooks/python_essentials.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "25e93011", + "id": "f58738b1", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "2ea54d58", + "id": "d3b81dae", "metadata": {}, "source": [ "# Python Essentials" @@ -24,7 +24,7 @@ }, { "cell_type": "markdown", - "id": "3da0f84c", + "id": "008f293f", "metadata": {}, "source": [ "## Contents\n", @@ -41,7 +41,7 @@ }, { "cell_type": "markdown", - "id": "ab83b54a", + "id": "b2d7689d", "metadata": {}, "source": [ "## Overview\n", @@ -55,7 +55,7 @@ }, { "cell_type": "markdown", - "id": "416a3f28", + "id": "6c72b827", "metadata": {}, "source": [ "## Data Types\n", @@ -89,7 +89,7 @@ }, { "cell_type": "markdown", - "id": "3c7c4bd2", + "id": "718d41ff", "metadata": {}, "source": [ "### Primitive Data Types\n", @@ -100,7 +100,7 @@ }, { "cell_type": "markdown", - "id": "08d3b03e", + "id": "bdd7343c", "metadata": {}, "source": [ "#### Boolean Values\n", @@ -111,7 +111,7 @@ { "cell_type": "code", "execution_count": null, - "id": "78027af8", + "id": "46bec50b", "metadata": { "hide-output": false }, @@ -123,7 +123,7 @@ }, { "cell_type": "markdown", - "id": "84560727", + "id": "7cc0708d", "metadata": {}, "source": [ "We can check the type of any object in memory using the `type()` function." @@ -132,7 +132,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e7006433", + "id": "9da13f7f", "metadata": { "hide-output": false }, @@ -143,7 +143,7 @@ }, { "cell_type": "markdown", - "id": "0e4481a7", + "id": "665343f2", "metadata": {}, "source": [ "In the next line of code, the interpreter evaluates the expression on the right of = and binds y to this value" @@ -152,7 +152,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2eb4f6a7", + "id": "a31cfb84", "metadata": { "hide-output": false }, @@ -165,7 +165,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6519a067", + "id": "940d036f", "metadata": { "hide-output": false }, @@ -176,7 +176,7 @@ }, { "cell_type": "markdown", - "id": "38f34d4e", + "id": "7df77ed1", "metadata": {}, "source": [ "In arithmetic expressions, `True` is converted to `1` and `False` is converted `0`.\n", @@ -189,7 +189,7 @@ { "cell_type": "code", "execution_count": null, - "id": "048e0d1f", + "id": "c30b62d7", "metadata": { "hide-output": false }, @@ -201,7 +201,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f6125cdb", + "id": "da7126c7", "metadata": { "hide-output": false }, @@ -213,7 +213,7 @@ { "cell_type": "code", "execution_count": null, - "id": "28316f9c", + "id": "c7b60bf9", "metadata": { "hide-output": false }, @@ -225,7 +225,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0bbf211e", + "id": "63031dbe", "metadata": { "hide-output": false }, @@ -238,7 +238,7 @@ }, { "cell_type": "markdown", - "id": "0673b283", + "id": "e3efd901", "metadata": {}, "source": [ "#### Numeric Types\n", @@ -253,7 +253,7 @@ { "cell_type": "code", "execution_count": null, - "id": "32a0e1d2", + "id": "1a315208", "metadata": { "hide-output": false }, @@ -268,7 +268,7 @@ }, { "cell_type": "markdown", - "id": "a772e9c4", + "id": "815bcea2", "metadata": {}, "source": [ "### Containers\n", @@ -285,7 +285,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cf1fd165", + "id": "3ec977dc", "metadata": { "hide-output": false }, @@ -299,7 +299,7 @@ { "cell_type": "code", "execution_count": null, - "id": "935bd116", + "id": "94e9d6a6", "metadata": { "hide-output": false }, @@ -310,7 +310,7 @@ }, { "cell_type": "markdown", - "id": "8a50cd86", + "id": "3077caf8", "metadata": {}, "source": [ "In Python, an object is called **immutable** if, once created, the object cannot be changed.\n", @@ -323,7 +323,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d7a1d3a0", + "id": "c345901d", "metadata": { "hide-output": false }, @@ -336,7 +336,7 @@ }, { "cell_type": "markdown", - "id": "6012b86c", + "id": "9094d5a7", "metadata": {}, "source": [ "But tuples are not" @@ -345,7 +345,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1a7a9e47", + "id": "55f041b0", "metadata": { "hide-output": false }, @@ -357,7 +357,7 @@ }, { "cell_type": "markdown", - "id": "6be04107", + "id": "6839ceeb", "metadata": {}, "source": [ "We’ll say more about the role of mutable and immutable data a bit later.\n", @@ -368,7 +368,7 @@ { "cell_type": "code", "execution_count": null, - "id": "78af3086", + "id": "34846f5b", "metadata": { "hide-output": false }, @@ -382,7 +382,7 @@ { "cell_type": "code", "execution_count": null, - "id": "baab8399", + "id": "4593b24b", "metadata": { "hide-output": false }, @@ -393,7 +393,7 @@ }, { "cell_type": "markdown", - "id": "03b3704b", + "id": "aa884831", "metadata": {}, "source": [ "You’ve actually [seen an example of this](https://python-programming.quantecon.org/about_py.html#tuple-unpacking-example) already.\n", @@ -403,7 +403,7 @@ }, { "cell_type": "markdown", - "id": "6e08b2b9", + "id": "d5fbbb6f", "metadata": {}, "source": [ "#### Slice Notation\n", @@ -419,7 +419,7 @@ { "cell_type": "code", "execution_count": null, - "id": "104e2d95", + "id": "f1dd9325", "metadata": { "hide-output": false }, @@ -432,7 +432,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cc4a335e", + "id": "996e08ca", "metadata": { "hide-output": false }, @@ -443,7 +443,7 @@ }, { "cell_type": "markdown", - "id": "f15b1e23", + "id": "b37cfa88", "metadata": {}, "source": [ "The general rule is that `a[m:n]` returns `n - m` elements, starting at `a[m]`.\n", @@ -454,7 +454,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e88b52af", + "id": "b93e92f6", "metadata": { "hide-output": false }, @@ -465,7 +465,7 @@ }, { "cell_type": "markdown", - "id": "f863c0d6", + "id": "e838d06b", "metadata": {}, "source": [ "You can also use the format `[start:end:step]` to specify the step" @@ -474,7 +474,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d22d23b1", + "id": "c39ab5ad", "metadata": { "hide-output": false }, @@ -485,7 +485,7 @@ }, { "cell_type": "markdown", - "id": "8c6db707", + "id": "2989303e", "metadata": {}, "source": [ "Using a negative step, you can return the sequence in a reversed order" @@ -494,7 +494,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1a9a8dc6", + "id": "bc818e44", "metadata": { "hide-output": false }, @@ -505,7 +505,7 @@ }, { "cell_type": "markdown", - "id": "782129bb", + "id": "58ffef95", "metadata": {}, "source": [ "The same slice notation works on tuples and strings" @@ -514,7 +514,7 @@ { "cell_type": "code", "execution_count": null, - "id": "17d6d99f", + "id": "d6a8d67f", "metadata": { "hide-output": false }, @@ -526,7 +526,7 @@ }, { "cell_type": "markdown", - "id": "c95ca788", + "id": "c6b337f4", "metadata": {}, "source": [ "#### Sets and Dictionaries\n", @@ -542,7 +542,7 @@ { "cell_type": "code", "execution_count": null, - "id": "51fcea6c", + "id": "9d232b1c", "metadata": { "hide-output": false }, @@ -555,7 +555,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ce5b2ea0", + "id": "b89f6ca0", "metadata": { "hide-output": false }, @@ -566,7 +566,7 @@ }, { "cell_type": "markdown", - "id": "c930e239", + "id": "fe0bc9c4", "metadata": {}, "source": [ "The names `'name'` and `'age'` are called the *keys*.\n", @@ -580,7 +580,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6231aadb", + "id": "cb2e849e", "metadata": { "hide-output": false }, @@ -593,7 +593,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fca1be1f", + "id": "a50c85cb", "metadata": { "hide-output": false }, @@ -606,7 +606,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6d26b061", + "id": "dd5407d7", "metadata": { "hide-output": false }, @@ -617,7 +617,7 @@ }, { "cell_type": "markdown", - "id": "b99a9244", + "id": "15ded9a3", "metadata": {}, "source": [ "The `set()` function creates sets from sequences" @@ -626,7 +626,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9b148eba", + "id": "b65a358c", "metadata": { "hide-output": false }, @@ -638,7 +638,7 @@ }, { "cell_type": "markdown", - "id": "79c9784d", + "id": "ffc7b378", "metadata": {}, "source": [ "## Input and Output\n", @@ -651,7 +651,7 @@ { "cell_type": "code", "execution_count": null, - "id": "db4ee06d", + "id": "c735301b", "metadata": { "hide-output": false }, @@ -665,7 +665,7 @@ }, { "cell_type": "markdown", - "id": "19216de0", + "id": "496e1918", "metadata": {}, "source": [ "Here\n", @@ -682,7 +682,7 @@ { "cell_type": "code", "execution_count": null, - "id": "dba9e31c", + "id": "7e28b37b", "metadata": { "hide-output": false }, @@ -693,7 +693,7 @@ }, { "cell_type": "markdown", - "id": "2d05834e", + "id": "1dc34326", "metadata": {}, "source": [ "If a path is not specified, then this is where Python writes to.\n", @@ -704,7 +704,7 @@ { "cell_type": "code", "execution_count": null, - "id": "478fe766", + "id": "d50a58ba", "metadata": { "hide-output": false }, @@ -718,7 +718,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9d8d3c52", + "id": "152cabae", "metadata": { "hide-output": false }, @@ -729,7 +729,7 @@ }, { "cell_type": "markdown", - "id": "92022532", + "id": "98ccc187", "metadata": {}, "source": [ "In fact, the recommended approach in modern Python is to use a `with` statement to ensure the files are properly acquired and released.\n", @@ -748,7 +748,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d088b88a", + "id": "ad842664", "metadata": { "hide-output": false }, @@ -761,7 +761,7 @@ }, { "cell_type": "markdown", - "id": "4af615db", + "id": "7b1a0b48", "metadata": {}, "source": [ "Note that we do not need to call the `close()` method since the `with` block\n", @@ -773,7 +773,7 @@ { "cell_type": "code", "execution_count": null, - "id": "996397f4", + "id": "f9784de8", "metadata": { "hide-output": false }, @@ -786,7 +786,7 @@ }, { "cell_type": "markdown", - "id": "8228c6eb", + "id": "47ef9e97", "metadata": {}, "source": [ "Now suppose that we want to read input from one file and write output to another.\n", @@ -797,7 +797,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0c2c2577", + "id": "25015172", "metadata": { "hide-output": false }, @@ -812,7 +812,7 @@ }, { "cell_type": "markdown", - "id": "7a20620c", + "id": "10cba7d7", "metadata": {}, "source": [ "The output file will be" @@ -821,7 +821,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a347873a", + "id": "c2c464e0", "metadata": { "hide-output": false }, @@ -833,7 +833,7 @@ }, { "cell_type": "markdown", - "id": "6b96c45f", + "id": "30e5be6f", "metadata": {}, "source": [ "We can simplify the example above by grouping the two `with` statements into one line" @@ -842,7 +842,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b524d72c", + "id": "00e37d99", "metadata": { "hide-output": false }, @@ -855,7 +855,7 @@ }, { "cell_type": "markdown", - "id": "c91a686e", + "id": "2559fed4", "metadata": {}, "source": [ "The output file will be the same" @@ -864,7 +864,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e34ea29b", + "id": "3ccee227", "metadata": { "hide-output": false }, @@ -876,7 +876,7 @@ }, { "cell_type": "markdown", - "id": "4893fadc", + "id": "b65b4795", "metadata": {}, "source": [ "Suppose we want to continue to write into the existing file\n", @@ -888,7 +888,7 @@ { "cell_type": "code", "execution_count": null, - "id": "74e14f1d", + "id": "fa6af76b", "metadata": { "hide-output": false }, @@ -901,7 +901,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3dbe50b6", + "id": "36e4eb51", "metadata": { "hide-output": false }, @@ -913,7 +913,7 @@ }, { "cell_type": "markdown", - "id": "ea5b75ef", + "id": "94e4448f", "metadata": {}, "source": [ ">**Note**\n", @@ -925,7 +925,7 @@ }, { "cell_type": "markdown", - "id": "c5963a33", + "id": "f205fdaa", "metadata": {}, "source": [ "### Paths\n", @@ -939,7 +939,7 @@ }, { "cell_type": "markdown", - "id": "08cbd8c9", + "id": "578c3e3b", "metadata": { "hide-output": false }, @@ -951,7 +951,7 @@ }, { "cell_type": "markdown", - "id": "7fbbf558", + "id": "093d5bb9", "metadata": {}, "source": [ "\n", @@ -960,7 +960,7 @@ }, { "cell_type": "markdown", - "id": "f06e31b2", + "id": "519ae187", "metadata": {}, "source": [ "## Iterating\n", @@ -976,7 +976,7 @@ }, { "cell_type": "markdown", - "id": "4c9f1ef9", + "id": "5e4e44fd", "metadata": {}, "source": [ "### Looping over Different Objects\n", @@ -992,7 +992,7 @@ { "cell_type": "code", "execution_count": null, - "id": "27b14237", + "id": "9068cbef", "metadata": { "hide-output": false }, @@ -1012,7 +1012,7 @@ }, { "cell_type": "markdown", - "id": "b41b2fdf", + "id": "3ce12f64", "metadata": {}, "source": [ "Here `%%writefile` is an [IPython cell magic](https://ipython.readthedocs.io/en/stable/interactive/magics.html#cell-magics).\n", @@ -1025,7 +1025,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bef5303d", + "id": "8c6f8ab8", "metadata": { "hide-output": false }, @@ -1042,7 +1042,7 @@ }, { "cell_type": "markdown", - "id": "476bb914", + "id": "10f97fbb", "metadata": {}, "source": [ "Here `format()` is a string method [used for inserting variables into strings](https://docs.python.org/3/library/string.html#formatspec).\n", @@ -1063,7 +1063,7 @@ }, { "cell_type": "markdown", - "id": "985e996a", + "id": "f8d6cd9d", "metadata": {}, "source": [ "### Looping without Indices\n", @@ -1076,7 +1076,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f6b5be27", + "id": "0e8f9798", "metadata": { "hide-output": false }, @@ -1089,7 +1089,7 @@ }, { "cell_type": "markdown", - "id": "f163003b", + "id": "51831281", "metadata": {}, "source": [ "is preferred to" @@ -1098,7 +1098,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9a780ad5", + "id": "ea2c4a76", "metadata": { "hide-output": false }, @@ -1110,7 +1110,7 @@ }, { "cell_type": "markdown", - "id": "f0579a83", + "id": "6ff93766", "metadata": {}, "source": [ "When you compare these two alternatives, you can see why the first one is preferred.\n", @@ -1125,7 +1125,7 @@ { "cell_type": "code", "execution_count": null, - "id": "41ffed46", + "id": "758b2b4c", "metadata": { "hide-output": false }, @@ -1139,7 +1139,7 @@ }, { "cell_type": "markdown", - "id": "3fd71d30", + "id": "f5c20bef", "metadata": {}, "source": [ "The `zip()` function is also useful for creating dictionaries — for\n", @@ -1149,7 +1149,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1c681188", + "id": "444a2965", "metadata": { "hide-output": false }, @@ -1162,7 +1162,7 @@ }, { "cell_type": "markdown", - "id": "e1339d4a", + "id": "60be75b1", "metadata": {}, "source": [ "If we actually need the index from a list, one option is to use `enumerate()`.\n", @@ -1173,7 +1173,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bd65f9e0", + "id": "89d5249a", "metadata": { "hide-output": false }, @@ -1186,7 +1186,7 @@ }, { "cell_type": "markdown", - "id": "2d6fa91a", + "id": "41c135de", "metadata": {}, "source": [ "\n", @@ -1195,7 +1195,7 @@ }, { "cell_type": "markdown", - "id": "00f595a5", + "id": "bd4e70a2", "metadata": {}, "source": [ "### List Comprehensions\n", @@ -1213,7 +1213,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9e30765d", + "id": "3bc416e2", "metadata": { "hide-output": false }, @@ -1226,7 +1226,7 @@ }, { "cell_type": "markdown", - "id": "c78c46ac", + "id": "d604dc25", "metadata": {}, "source": [ "Here’s another example" @@ -1235,7 +1235,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4a9ccae4", + "id": "9e3b2428", "metadata": { "hide-output": false }, @@ -1247,7 +1247,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2b0018ee", + "id": "bd04cf9c", "metadata": { "hide-output": false }, @@ -1259,7 +1259,7 @@ }, { "cell_type": "markdown", - "id": "9afa4eb0", + "id": "4303d735", "metadata": {}, "source": [ "## Comparisons and Logical Operators" @@ -1267,7 +1267,7 @@ }, { "cell_type": "markdown", - "id": "5b0c0bc1", + "id": "3884b0ce", "metadata": {}, "source": [ "### Comparisons\n", @@ -1282,7 +1282,7 @@ { "cell_type": "code", "execution_count": null, - "id": "11edd363", + "id": "ebc226a9", "metadata": { "hide-output": false }, @@ -1295,7 +1295,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b5a9c052", + "id": "a1a5c8b2", "metadata": { "hide-output": false }, @@ -1306,7 +1306,7 @@ }, { "cell_type": "markdown", - "id": "6298a832", + "id": "846a4f25", "metadata": {}, "source": [ "One of the nice features of Python is that we can *chain* inequalities" @@ -1315,7 +1315,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1cf27bc3", + "id": "840b3999", "metadata": { "hide-output": false }, @@ -1327,7 +1327,7 @@ { "cell_type": "code", "execution_count": null, - "id": "02debe96", + "id": "8e3873a3", "metadata": { "hide-output": false }, @@ -1338,7 +1338,7 @@ }, { "cell_type": "markdown", - "id": "dcf878b8", + "id": "98f5d220", "metadata": {}, "source": [ "As we saw earlier, when testing for equality we use `==`" @@ -1347,7 +1347,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5f6d1a22", + "id": "6eaba1c3", "metadata": { "hide-output": false }, @@ -1359,7 +1359,7 @@ }, { "cell_type": "markdown", - "id": "f4297fc6", + "id": "0d31b80f", "metadata": {}, "source": [ "For “not equal” use `!=`" @@ -1368,7 +1368,7 @@ { "cell_type": "code", "execution_count": null, - "id": "84a0dbe9", + "id": "94841aa6", "metadata": { "hide-output": false }, @@ -1379,7 +1379,7 @@ }, { "cell_type": "markdown", - "id": "2bd1a5a2", + "id": "19363481", "metadata": {}, "source": [ "Note that when testing conditions, we can use **any** valid Python expression" @@ -1388,7 +1388,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bab17902", + "id": "fa27bb2a", "metadata": { "hide-output": false }, @@ -1401,7 +1401,7 @@ { "cell_type": "code", "execution_count": null, - "id": "64076344", + "id": "013a6290", "metadata": { "hide-output": false }, @@ -1413,7 +1413,7 @@ }, { "cell_type": "markdown", - "id": "2ac59f74", + "id": "9beae8d1", "metadata": {}, "source": [ "What’s going on here?\n", @@ -1428,7 +1428,7 @@ }, { "cell_type": "markdown", - "id": "3fa2855d", + "id": "1c36a3aa", "metadata": {}, "source": [ "### Combining Expressions\n", @@ -1443,7 +1443,7 @@ { "cell_type": "code", "execution_count": null, - "id": "db0c1e27", + "id": "a884b7b9", "metadata": { "hide-output": false }, @@ -1455,7 +1455,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f44dc733", + "id": "c8366c5d", "metadata": { "hide-output": false }, @@ -1467,7 +1467,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3ddc263e", + "id": "45129e5b", "metadata": { "hide-output": false }, @@ -1479,7 +1479,7 @@ { "cell_type": "code", "execution_count": null, - "id": "09ae634d", + "id": "f5418351", "metadata": { "hide-output": false }, @@ -1491,7 +1491,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0d11468c", + "id": "c58ae786", "metadata": { "hide-output": false }, @@ -1502,7 +1502,7 @@ }, { "cell_type": "markdown", - "id": "c40b0e84", + "id": "bd4a7d8b", "metadata": {}, "source": [ "Remember\n", @@ -1517,7 +1517,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4298931d", + "id": "dcc58595", "metadata": { "hide-output": false }, @@ -1529,7 +1529,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c54be876", + "id": "4ef34ba5", "metadata": { "hide-output": false }, @@ -1541,7 +1541,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2e785224", + "id": "1a3681b7", "metadata": { "hide-output": false }, @@ -1552,7 +1552,7 @@ }, { "cell_type": "markdown", - "id": "380db8fc", + "id": "e560dd82", "metadata": {}, "source": [ ">**Note**\n", @@ -1563,7 +1563,7 @@ }, { "cell_type": "markdown", - "id": "f00a2ef7", + "id": "5f85f4ec", "metadata": {}, "source": [ "## Coding Style and Documentation\n", @@ -1574,7 +1574,7 @@ }, { "cell_type": "markdown", - "id": "6c590fd9", + "id": "d3a1b2d8", "metadata": {}, "source": [ "### Python Style Guidelines: PEP8\n", @@ -1604,7 +1604,7 @@ }, { "cell_type": "markdown", - "id": "7407a8d1", + "id": "39279dce", "metadata": {}, "source": [ "### Docstrings\n", @@ -1621,7 +1621,7 @@ { "cell_type": "code", "execution_count": null, - "id": "33d0f05e", + "id": "9ac420e4", "metadata": { "hide-output": false }, @@ -1636,7 +1636,7 @@ }, { "cell_type": "markdown", - "id": "daa1a1f5", + "id": "d492d57d", "metadata": {}, "source": [ "After running this code, the docstring is available" @@ -1645,7 +1645,7 @@ { "cell_type": "code", "execution_count": null, - "id": "dc4b52df", + "id": "8018bcd3", "metadata": { "hide-output": false }, @@ -1656,7 +1656,7 @@ }, { "cell_type": "markdown", - "id": "8af55fa3", + "id": "2009fccf", "metadata": { "hide-output": false }, @@ -1673,7 +1673,7 @@ { "cell_type": "code", "execution_count": null, - "id": "57546b3d", + "id": "0b752458", "metadata": { "hide-output": false }, @@ -1684,7 +1684,7 @@ }, { "cell_type": "markdown", - "id": "e1099756", + "id": "d2358669", "metadata": { "hide-output": false }, @@ -1705,7 +1705,7 @@ }, { "cell_type": "markdown", - "id": "d393877c", + "id": "686c0bd0", "metadata": {}, "source": [ "With one question mark we bring up the docstring, and with two we get the source code as well.\n", @@ -1715,7 +1715,7 @@ }, { "cell_type": "markdown", - "id": "1ceffbed", + "id": "1af2392f", "metadata": {}, "source": [ "## Exercises\n", @@ -1727,7 +1727,7 @@ }, { "cell_type": "markdown", - "id": "c478c1a8", + "id": "885f5203", "metadata": {}, "source": [ "## Exercise 5.1\n", @@ -1745,7 +1745,7 @@ }, { "cell_type": "markdown", - "id": "16e3ac8e", + "id": "31de5080", "metadata": {}, "source": [ "## Solution to[ Exercise 5.1](https://python-programming.quantecon.org/#pyess_ex1)\n", @@ -1758,7 +1758,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4c2ab3c2", + "id": "3b88c9f6", "metadata": { "hide-output": false }, @@ -1771,7 +1771,7 @@ }, { "cell_type": "markdown", - "id": "031e1297", + "id": "b2998761", "metadata": {}, "source": [ "This also works" @@ -1780,7 +1780,7 @@ { "cell_type": "code", "execution_count": null, - "id": "26df9127", + "id": "fc2ac038", "metadata": { "hide-output": false }, @@ -1791,7 +1791,7 @@ }, { "cell_type": "markdown", - "id": "bf317be9", + "id": "23122979", "metadata": {}, "source": [ "**Part 2 Solution:**\n", @@ -1802,7 +1802,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ad3dfe2e", + "id": "96d41dab", "metadata": { "hide-output": false }, @@ -1813,7 +1813,7 @@ }, { "cell_type": "markdown", - "id": "54408d81", + "id": "9ae8deb1", "metadata": {}, "source": [ "This also works:" @@ -1822,7 +1822,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c9db09d4", + "id": "db7f038f", "metadata": { "hide-output": false }, @@ -1833,7 +1833,7 @@ }, { "cell_type": "markdown", - "id": "7c2b0ef2", + "id": "e358dcd6", "metadata": {}, "source": [ "Some less natural alternatives that nonetheless help to illustrate the\n", @@ -1843,7 +1843,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2c259eaa", + "id": "e29da4df", "metadata": { "hide-output": false }, @@ -1854,7 +1854,7 @@ }, { "cell_type": "markdown", - "id": "03b5d5e6", + "id": "17c46992", "metadata": {}, "source": [ "and" @@ -1863,7 +1863,7 @@ { "cell_type": "code", "execution_count": null, - "id": "340ffa6d", + "id": "f05fc399", "metadata": { "hide-output": false }, @@ -1874,7 +1874,7 @@ }, { "cell_type": "markdown", - "id": "b3302677", + "id": "6d26276a", "metadata": {}, "source": [ "**Part 3 Solution:**\n", @@ -1885,7 +1885,7 @@ { "cell_type": "code", "execution_count": null, - "id": "765a92f9", + "id": "5d785fa2", "metadata": { "hide-output": false }, @@ -1897,7 +1897,7 @@ }, { "cell_type": "markdown", - "id": "ccca647f", + "id": "ce2658fc", "metadata": {}, "source": [ "## Exercise 5.2\n", @@ -1919,7 +1919,7 @@ }, { "cell_type": "markdown", - "id": "41d510f8", + "id": "fcb05c46", "metadata": {}, "source": [ "## Solution to[ Exercise 5.2](https://python-programming.quantecon.org/#pyess_ex2)\n", @@ -1930,7 +1930,7 @@ { "cell_type": "code", "execution_count": null, - "id": "204296e3", + "id": "0cd43c14", "metadata": { "hide-output": false }, @@ -1943,7 +1943,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1eec7efc", + "id": "e31ab07b", "metadata": { "hide-output": false }, @@ -1954,7 +1954,7 @@ }, { "cell_type": "markdown", - "id": "f027da33", + "id": "e4c375e1", "metadata": {}, "source": [ "## Exercise 5.3\n", @@ -1966,7 +1966,7 @@ }, { "cell_type": "markdown", - "id": "38d600f7", + "id": "3dd36759", "metadata": {}, "source": [ "## Solution to[ Exercise 5.3](https://python-programming.quantecon.org/#pyess_ex3)\n", @@ -1977,7 +1977,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9682fd6a", + "id": "a153464d", "metadata": { "hide-output": false }, @@ -1995,7 +1995,7 @@ }, { "cell_type": "markdown", - "id": "abd3b297", + "id": "5fdaec04", "metadata": {}, "source": [ "An alternative, more pythonic solution:" @@ -2004,7 +2004,7 @@ { "cell_type": "code", "execution_count": null, - "id": "30c7ffc6", + "id": "cd907895", "metadata": { "hide-output": false }, @@ -2018,7 +2018,7 @@ }, { "cell_type": "markdown", - "id": "c9f85948", + "id": "6ee5529c", "metadata": {}, "source": [ "## Exercise 5.4\n", @@ -2033,7 +2033,7 @@ }, { "cell_type": "markdown", - "id": "0c9c7394", + "id": "e905bc9e", "metadata": {}, "source": [ "## Solution to[ Exercise 5.4](https://python-programming.quantecon.org/#pyess_ex4)\n", @@ -2044,7 +2044,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0f12c7e0", + "id": "a3ba35e3", "metadata": { "hide-output": false }, @@ -2065,7 +2065,7 @@ }, { "cell_type": "markdown", - "id": "ad052826", + "id": "33db7c60", "metadata": {}, "source": [ "An alternative, more pythonic solution using `all()`:" @@ -2074,7 +2074,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2d5c17f7", + "id": "0165200c", "metadata": { "hide-output": false }, @@ -2092,7 +2092,7 @@ }, { "cell_type": "markdown", - "id": "85beaeab", + "id": "a7ade659", "metadata": {}, "source": [ "Of course, if we use the `sets` data type then the solution is easier" @@ -2101,7 +2101,7 @@ { "cell_type": "code", "execution_count": null, - "id": "90f818c5", + "id": "acbc5078", "metadata": { "hide-output": false }, @@ -2113,7 +2113,7 @@ }, { "cell_type": "markdown", - "id": "d1775fcd", + "id": "a1e1cf8a", "metadata": {}, "source": [ "## Exercise 5.5\n", @@ -2138,7 +2138,7 @@ }, { "cell_type": "markdown", - "id": "bde99962", + "id": "11cf88cc", "metadata": {}, "source": [ "## Solution to[ Exercise 5.5](https://python-programming.quantecon.org/#pyess_ex5)\n", @@ -2149,7 +2149,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6aa7e9f4", + "id": "0f5be187", "metadata": { "hide-output": false }, @@ -2193,7 +2193,7 @@ }, { "cell_type": "markdown", - "id": "1549a147", + "id": "dc36b048", "metadata": {}, "source": [ "## Exercise 5.6\n", @@ -2205,7 +2205,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c9fe34e8", + "id": "3037a0b4", "metadata": { "hide-output": false }, @@ -2222,7 +2222,7 @@ }, { "cell_type": "markdown", - "id": "28665cd2", + "id": "44e9483c", "metadata": {}, "source": [ "## Solution to[ Exercise 5.6](https://python-programming.quantecon.org/#pyess_ex6)\n", @@ -2233,7 +2233,7 @@ { "cell_type": "code", "execution_count": null, - "id": "35b4bf82", + "id": "1ca10378", "metadata": { "hide-output": false }, @@ -2245,7 +2245,7 @@ } ], "metadata": { - "date": 1702956202.9120371, + "date": 1703113308.1570675, "filename": "python_essentials.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/python_oop.ipynb b/_notebooks/python_oop.ipynb index 1cdef6c8..76e9e29b 100644 --- a/_notebooks/python_oop.ipynb +++ b/_notebooks/python_oop.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "364b8304", + "id": "8091d7af", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "797c4f3a", + "id": "58374049", "metadata": {}, "source": [ "# OOP II: Building Classes\n", @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "6945aeb7", + "id": "cae10c4e", "metadata": {}, "source": [ "## Contents\n", @@ -42,7 +42,7 @@ }, { "cell_type": "markdown", - "id": "df0ea535", + "id": "fc4f3c6f", "metadata": {}, "source": [ "## Overview\n", @@ -86,7 +86,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1ef6cd11", + "id": "cdda0f86", "metadata": { "hide-output": false }, @@ -100,7 +100,7 @@ }, { "cell_type": "markdown", - "id": "8cd828f0", + "id": "745e56bc", "metadata": {}, "source": [ "## OOP Review\n", @@ -118,7 +118,7 @@ }, { "cell_type": "markdown", - "id": "b6e77575", + "id": "71b971df", "metadata": {}, "source": [ "### Key Concepts\n", @@ -133,7 +133,7 @@ { "cell_type": "code", "execution_count": null, - "id": "64cd8efc", + "id": "b1c1e535", "metadata": { "hide-output": false }, @@ -146,7 +146,7 @@ }, { "cell_type": "markdown", - "id": "3b0f5540", + "id": "6c87124f", "metadata": {}, "source": [ "As we now know, `sort` is a function that is “part of” the list object — and hence called a *method*.\n", @@ -181,7 +181,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a99655bb", + "id": "357333aa", "metadata": { "hide-output": false }, @@ -194,7 +194,7 @@ }, { "cell_type": "markdown", - "id": "fcf97157", + "id": "7d8622e5", "metadata": {}, "source": [ "- `x` is an object or instance, created from the definition for Python lists, but with its own particular data. \n", @@ -208,7 +208,7 @@ }, { "cell_type": "markdown", - "id": "856213bc", + "id": "c0f509bb", "metadata": {}, "source": [ "### Why is OOP Useful?\n", @@ -235,7 +235,7 @@ }, { "cell_type": "markdown", - "id": "d38eed15", + "id": "fa731de8", "metadata": {}, "source": [ "## Defining Your Own Classes\n", @@ -252,7 +252,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e061bbd7", + "id": "8e94c3b9", "metadata": { "hide-output": false }, @@ -273,7 +273,7 @@ }, { "cell_type": "markdown", - "id": "3c8be608", + "id": "8fe0cd86", "metadata": {}, "source": [ "The `earn` function takes a consumer’s initial wealth $ w $ and adds to it her current earnings $ y $.\n", @@ -288,7 +288,7 @@ { "cell_type": "code", "execution_count": null, - "id": "38aa01f9", + "id": "de1c9509", "metadata": { "hide-output": false }, @@ -304,7 +304,7 @@ }, { "cell_type": "markdown", - "id": "204ebdd0", + "id": "3dc2ba1d", "metadata": {}, "source": [ "A *Class* bundles a set of data tied to a particular *instance* together with a collection of functions that operate on the data.\n", @@ -322,7 +322,7 @@ }, { "cell_type": "markdown", - "id": "fe1672c9", + "id": "c3cd72a4", "metadata": {}, "source": [ "### Example: A Consumer Class\n", @@ -342,7 +342,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a58729c2", + "id": "afbc9e35", "metadata": { "hide-output": false }, @@ -369,7 +369,7 @@ }, { "cell_type": "markdown", - "id": "869b12f6", + "id": "e11fdd06", "metadata": {}, "source": [ "There’s some special syntax here so let’s step through carefully\n", @@ -395,7 +395,7 @@ }, { "cell_type": "markdown", - "id": "249cca56", + "id": "6a788406", "metadata": {}, "source": [ "#### Usage\n", @@ -408,7 +408,7 @@ { "cell_type": "code", "execution_count": null, - "id": "46f6b78b", + "id": "b985faa3", "metadata": { "hide-output": false }, @@ -422,7 +422,7 @@ { "cell_type": "code", "execution_count": null, - "id": "28c228a8", + "id": "41dc3d29", "metadata": { "hide-output": false }, @@ -434,7 +434,7 @@ }, { "cell_type": "markdown", - "id": "d4dd00d9", + "id": "0dd449a4", "metadata": {}, "source": [ "We can of course create multiple instances, i.e., multiple consumers, each with its own name and data" @@ -443,7 +443,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ef5261ea", + "id": "1d284c50", "metadata": { "hide-output": false }, @@ -458,7 +458,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c96d637d", + "id": "c98063e3", "metadata": { "hide-output": false }, @@ -469,7 +469,7 @@ }, { "cell_type": "markdown", - "id": "69845a99", + "id": "804bf9a0", "metadata": {}, "source": [ "Each instance, i.e., each consumer, stores its data in a separate namespace dictionary" @@ -478,7 +478,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c4ef2f93", + "id": "8d12ac9e", "metadata": { "hide-output": false }, @@ -490,7 +490,7 @@ { "cell_type": "code", "execution_count": null, - "id": "90622681", + "id": "629cf9bf", "metadata": { "hide-output": false }, @@ -501,7 +501,7 @@ }, { "cell_type": "markdown", - "id": "24787733", + "id": "ca1b530f", "metadata": {}, "source": [ "When we access or set attributes we’re actually just modifying the dictionary\n", @@ -510,7 +510,7 @@ }, { "cell_type": "markdown", - "id": "cdd499bf", + "id": "61eae151", "metadata": {}, "source": [ "#### Self\n", @@ -532,7 +532,7 @@ }, { "cell_type": "markdown", - "id": "40ad0c48", + "id": "0802bab7", "metadata": {}, "source": [ "#### Details\n", @@ -550,7 +550,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a6cfff98", + "id": "5a4f8c09", "metadata": { "hide-output": false }, @@ -561,7 +561,7 @@ }, { "cell_type": "markdown", - "id": "21e94895", + "id": "b54d2b5e", "metadata": {}, "source": [ "Note how the three methods `__init__`, `earn` and `spend` are stored in the class object.\n", @@ -572,7 +572,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b69e39f9", + "id": "c21be453", "metadata": { "hide-output": false }, @@ -585,7 +585,7 @@ }, { "cell_type": "markdown", - "id": "10688fc0", + "id": "6d9951c8", "metadata": {}, "source": [ "When you call `earn` via `c1.earn(10)` the interpreter passes the instance `c1` and the argument `10` to `Consumer.earn`.\n", @@ -604,7 +604,7 @@ { "cell_type": "code", "execution_count": null, - "id": "86e61a85", + "id": "30d537ad", "metadata": { "hide-output": false }, @@ -617,7 +617,7 @@ }, { "cell_type": "markdown", - "id": "3a70e80a", + "id": "85964fd5", "metadata": {}, "source": [ "The end result is that `self` is bound to the instance `c1` inside the function call.\n", @@ -630,7 +630,7 @@ }, { "cell_type": "markdown", - "id": "5c249876", + "id": "b1ae9441", "metadata": {}, "source": [ "### Example: The Solow Growth Model\n", @@ -675,7 +675,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ceeef4b2", + "id": "a838fcf3", "metadata": { "hide-output": false }, @@ -727,7 +727,7 @@ }, { "cell_type": "markdown", - "id": "6fca6f70", + "id": "48e73145", "metadata": {}, "source": [ "Here’s a little program that uses the class to compute time series from two different initial conditions.\n", @@ -738,7 +738,7 @@ { "cell_type": "code", "execution_count": null, - "id": "553e82d2", + "id": "f2053732", "metadata": { "hide-output": false }, @@ -766,7 +766,7 @@ }, { "cell_type": "markdown", - "id": "bb44435b", + "id": "63b66371", "metadata": {}, "source": [ "### Example: A Market\n", @@ -795,7 +795,7 @@ { "cell_type": "code", "execution_count": null, - "id": "41b82c4f", + "id": "3a8a124d", "metadata": { "hide-output": false }, @@ -856,7 +856,7 @@ }, { "cell_type": "markdown", - "id": "2259208c", + "id": "4cf05488", "metadata": {}, "source": [ "Here’s a sample of usage" @@ -865,7 +865,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5ad16137", + "id": "d591a1e5", "metadata": { "hide-output": false }, @@ -879,7 +879,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4baa1e06", + "id": "e2d06065", "metadata": { "hide-output": false }, @@ -890,7 +890,7 @@ }, { "cell_type": "markdown", - "id": "8b3fefec", + "id": "7d51046b", "metadata": {}, "source": [ "Here’s a short program that uses this class to plot an inverse demand curve together with inverse\n", @@ -900,7 +900,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5e0f65cf", + "id": "1856c0aa", "metadata": { "hide-output": false }, @@ -929,7 +929,7 @@ }, { "cell_type": "markdown", - "id": "661163ae", + "id": "7eaa3db8", "metadata": {}, "source": [ "The next program provides a function that\n", @@ -941,7 +941,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bc4423be", + "id": "6ed1522a", "metadata": { "hide-output": false }, @@ -959,7 +959,7 @@ }, { "cell_type": "markdown", - "id": "541dde21", + "id": "a9272a2d", "metadata": {}, "source": [ "Here’s an example of usage" @@ -968,7 +968,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9fee767f", + "id": "95414a8b", "metadata": { "hide-output": false }, @@ -981,7 +981,7 @@ }, { "cell_type": "markdown", - "id": "613dff2c", + "id": "f727da2a", "metadata": {}, "source": [ "### Example: Chaos\n", @@ -1006,7 +1006,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0ab5dcd9", + "id": "8aa7ecc3", "metadata": { "hide-output": false }, @@ -1037,7 +1037,7 @@ }, { "cell_type": "markdown", - "id": "3c709a36", + "id": "313c2287", "metadata": {}, "source": [ "Here’s an example of usage" @@ -1046,7 +1046,7 @@ { "cell_type": "code", "execution_count": null, - "id": "acb54ac3", + "id": "7760cb9e", "metadata": { "hide-output": false }, @@ -1058,7 +1058,7 @@ }, { "cell_type": "markdown", - "id": "711b5de6", + "id": "da09de98", "metadata": {}, "source": [ "This piece of code plots a longer trajectory" @@ -1067,7 +1067,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1a4c220d", + "id": "569e6055", "metadata": { "hide-output": false }, @@ -1086,7 +1086,7 @@ }, { "cell_type": "markdown", - "id": "fceb2f3a", + "id": "808447a3", "metadata": {}, "source": [ "The next piece of code provides a bifurcation diagram" @@ -1095,7 +1095,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7a66453b", + "id": "97e8914d", "metadata": { "hide-output": false }, @@ -1117,7 +1117,7 @@ }, { "cell_type": "markdown", - "id": "f4145965", + "id": "61f27ee1", "metadata": {}, "source": [ "On the horizontal axis is the parameter $ r $ in [(7.2)](#equation-quadmap2).\n", @@ -1143,7 +1143,7 @@ }, { "cell_type": "markdown", - "id": "aab82fff", + "id": "9ef0d359", "metadata": {}, "source": [ "## Special Methods\n", @@ -1158,7 +1158,7 @@ { "cell_type": "code", "execution_count": null, - "id": "842d13c8", + "id": "6327626e", "metadata": { "hide-output": false }, @@ -1170,7 +1170,7 @@ }, { "cell_type": "markdown", - "id": "d54466d0", + "id": "c70c9665", "metadata": {}, "source": [ "If you want to provide a return value for the `len` function when applied to\n", @@ -1180,7 +1180,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f709de4c", + "id": "ec023716", "metadata": { "hide-output": false }, @@ -1194,7 +1194,7 @@ }, { "cell_type": "markdown", - "id": "4b85bb45", + "id": "3b652602", "metadata": {}, "source": [ "Now we get" @@ -1203,7 +1203,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b2ee40eb", + "id": "354bc067", "metadata": { "hide-output": false }, @@ -1215,7 +1215,7 @@ }, { "cell_type": "markdown", - "id": "ccc77396", + "id": "1dbe460a", "metadata": {}, "source": [ "\n", @@ -1228,7 +1228,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b5cb5c2b", + "id": "58388eb2", "metadata": { "hide-output": false }, @@ -1242,7 +1242,7 @@ }, { "cell_type": "markdown", - "id": "8e0fefa6", + "id": "fa3b8d01", "metadata": {}, "source": [ "After running we get" @@ -1251,7 +1251,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7474755d", + "id": "f11ca071", "metadata": { "hide-output": false }, @@ -1263,7 +1263,7 @@ }, { "cell_type": "markdown", - "id": "7d4ee7f8", + "id": "3819c940", "metadata": {}, "source": [ "Exercise 1 provides a more useful example." @@ -1271,7 +1271,7 @@ }, { "cell_type": "markdown", - "id": "9b4c428a", + "id": "f2c5ec8a", "metadata": {}, "source": [ "## Exercises" @@ -1279,7 +1279,7 @@ }, { "cell_type": "markdown", - "id": "d6c1c5ff", + "id": "f05022b1", "metadata": {}, "source": [ "## Exercise 7.1\n", @@ -1309,7 +1309,7 @@ }, { "cell_type": "markdown", - "id": "fe23f291", + "id": "30578e87", "metadata": { "hide-output": false }, @@ -1325,7 +1325,7 @@ }, { "cell_type": "markdown", - "id": "cbdf7dfd", + "id": "3aabb4bc", "metadata": { "hide-output": false }, @@ -1338,7 +1338,7 @@ }, { "cell_type": "markdown", - "id": "36ead6c6", + "id": "e0e90a7c", "metadata": {}, "source": [ "Aim for clarity, not efficiency." @@ -1346,7 +1346,7 @@ }, { "cell_type": "markdown", - "id": "8f6dba28", + "id": "b120e0e0", "metadata": {}, "source": [ "## Solution to[ Exercise 7.1](https://python-programming.quantecon.org/#oop_ex1)" @@ -1355,7 +1355,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d3a59eb7", + "id": "22b6efa4", "metadata": { "hide-output": false }, @@ -1377,7 +1377,7 @@ { "cell_type": "code", "execution_count": null, - "id": "af6f098c", + "id": "4a85de1c", "metadata": { "hide-output": false }, @@ -1399,7 +1399,7 @@ }, { "cell_type": "markdown", - "id": "642ee0a6", + "id": "463ababb", "metadata": {}, "source": [ "## Exercise 7.2\n", @@ -1428,7 +1428,7 @@ }, { "cell_type": "markdown", - "id": "e26823b6", + "id": "6acbb27c", "metadata": {}, "source": [ "## Solution to[ Exercise 7.2](https://python-programming.quantecon.org/#oop_ex2)" @@ -1437,7 +1437,7 @@ { "cell_type": "code", "execution_count": null, - "id": "71a9ed14", + "id": "8507bcb6", "metadata": { "hide-output": false }, @@ -1476,7 +1476,7 @@ } ], "metadata": { - "date": 1702956203.1325433, + "date": 1703113308.3872879, "filename": "python_oop.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/scipy.ipynb b/_notebooks/scipy.ipynb index 12fad8bb..5d9a5933 100644 --- a/_notebooks/scipy.ipynb +++ b/_notebooks/scipy.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "8f0e17dd", + "id": "ea775e26", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "91be4601", + "id": "b6f8ca33", "metadata": {}, "source": [ "# SciPy\n", @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "21e902d2", + "id": "5ed3261d", "metadata": {}, "source": [ "## Contents\n", @@ -45,7 +45,7 @@ }, { "cell_type": "markdown", - "id": "2028db9d", + "id": "cdf8012e", "metadata": {}, "source": [ "## Overview\n", @@ -74,7 +74,7 @@ }, { "cell_type": "markdown", - "id": "d0048845", + "id": "6fb36699", "metadata": {}, "source": [ "## SciPy versus NumPy\n", @@ -87,7 +87,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d814989f", + "id": "9a05bc40", "metadata": { "hide-output": false }, @@ -102,7 +102,7 @@ }, { "cell_type": "markdown", - "id": "318014a8", + "id": "b7b5b9a2", "metadata": {}, "source": [ "However, it’s more common and better practice to use NumPy functionality explicitly." @@ -111,7 +111,7 @@ { "cell_type": "code", "execution_count": null, - "id": "62dd01db", + "id": "0d421542", "metadata": { "hide-output": false }, @@ -124,7 +124,7 @@ }, { "cell_type": "markdown", - "id": "65d62f4d", + "id": "7feb687e", "metadata": {}, "source": [ "What is useful in SciPy is the functionality in its sub-packages\n", @@ -137,7 +137,7 @@ }, { "cell_type": "markdown", - "id": "ec0ba709", + "id": "40c2549b", "metadata": {}, "source": [ "## Statistics\n", @@ -153,7 +153,7 @@ }, { "cell_type": "markdown", - "id": "e56a6849", + "id": "3b130d43", "metadata": {}, "source": [ "### Random Variables and Distributions\n", @@ -164,7 +164,7 @@ { "cell_type": "code", "execution_count": null, - "id": "056026ae", + "id": "27afb529", "metadata": { "hide-output": false }, @@ -175,7 +175,7 @@ }, { "cell_type": "markdown", - "id": "9fe5a01f", + "id": "fd9c95bc", "metadata": {}, "source": [ "This generates a draw from the distribution with the density function below when `a, b = 5, 5`\n", @@ -198,7 +198,7 @@ { "cell_type": "code", "execution_count": null, - "id": "434d5116", + "id": "5673bd94", "metadata": { "hide-output": false }, @@ -221,7 +221,7 @@ }, { "cell_type": "markdown", - "id": "ef2c1ce3", + "id": "0ab145e5", "metadata": {}, "source": [ "The object `q` that represents the distribution has additional useful methods, including" @@ -230,7 +230,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f8d1886c", + "id": "76955293", "metadata": { "hide-output": false }, @@ -242,7 +242,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9199b4f8", + "id": "6c9ea75e", "metadata": { "hide-output": false }, @@ -254,7 +254,7 @@ { "cell_type": "code", "execution_count": null, - "id": "50124bae", + "id": "7b5b298b", "metadata": { "hide-output": false }, @@ -265,7 +265,7 @@ }, { "cell_type": "markdown", - "id": "0d67601d", + "id": "a213a23c", "metadata": {}, "source": [ "The general syntax for creating these objects that represent distributions (of type `rv_frozen`) is\n", @@ -281,7 +281,7 @@ }, { "cell_type": "markdown", - "id": "ab381d16", + "id": "cb937cfb", "metadata": {}, "source": [ "### Alternative Syntax\n", @@ -294,7 +294,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5cde28d0", + "id": "1c68e643", "metadata": { "hide-output": false }, @@ -311,7 +311,7 @@ }, { "cell_type": "markdown", - "id": "67d9b786", + "id": "8f758c76", "metadata": {}, "source": [ "### Other Goodies in scipy.stats\n", @@ -324,7 +324,7 @@ { "cell_type": "code", "execution_count": null, - "id": "00043e50", + "id": "e7b8d8e4", "metadata": { "hide-output": false }, @@ -340,7 +340,7 @@ }, { "cell_type": "markdown", - "id": "5bb524b8", + "id": "4c072695", "metadata": {}, "source": [ "To see the full list, consult the [documentation](https://docs.scipy.org/doc/scipy/reference/stats.html#statistical-functions-scipy-stats)." @@ -348,7 +348,7 @@ }, { "cell_type": "markdown", - "id": "1555a789", + "id": "75f522d5", "metadata": {}, "source": [ "## Roots and Fixed Points\n", @@ -369,7 +369,7 @@ { "cell_type": "code", "execution_count": null, - "id": "47f29b13", + "id": "841c67f9", "metadata": { "hide-output": false }, @@ -389,7 +389,7 @@ }, { "cell_type": "markdown", - "id": "9b725afe", + "id": "fa2e50d8", "metadata": {}, "source": [ "The unique root is approximately 0.408.\n", @@ -399,7 +399,7 @@ }, { "cell_type": "markdown", - "id": "89e64ae1", + "id": "f8f269e4", "metadata": {}, "source": [ "### Bisection\n", @@ -431,7 +431,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c0efc578", + "id": "5e261236", "metadata": { "hide-output": false }, @@ -456,7 +456,7 @@ }, { "cell_type": "markdown", - "id": "291545aa", + "id": "6e112707", "metadata": {}, "source": [ "Let’s test it using the function $ f $ defined in [(12.2)](#equation-root-f)" @@ -465,7 +465,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a70111e3", + "id": "bf9443a5", "metadata": { "hide-output": false }, @@ -476,7 +476,7 @@ }, { "cell_type": "markdown", - "id": "2db5bfa7", + "id": "8320d122", "metadata": {}, "source": [ "Not surprisingly, SciPy provides its own bisection function.\n", @@ -487,7 +487,7 @@ { "cell_type": "code", "execution_count": null, - "id": "70bea9f5", + "id": "275c21b5", "metadata": { "hide-output": false }, @@ -500,7 +500,7 @@ }, { "cell_type": "markdown", - "id": "33703bae", + "id": "2351b710", "metadata": {}, "source": [ "### The Newton-Raphson Method\n", @@ -521,7 +521,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6c65dafb", + "id": "37cfd053", "metadata": { "hide-output": false }, @@ -534,7 +534,7 @@ }, { "cell_type": "markdown", - "id": "80cbf1d9", + "id": "c1513d03", "metadata": {}, "source": [ "But other initial conditions lead to failure of convergence:" @@ -543,7 +543,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3a8e4a98", + "id": "437566a9", "metadata": { "hide-output": false }, @@ -554,7 +554,7 @@ }, { "cell_type": "markdown", - "id": "e045fdf2", + "id": "8c412d95", "metadata": {}, "source": [ "### Hybrid Methods\n", @@ -580,7 +580,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cbc6ce35", + "id": "6379a46f", "metadata": { "hide-output": false }, @@ -593,7 +593,7 @@ }, { "cell_type": "markdown", - "id": "af1b8206", + "id": "52c8f29a", "metadata": {}, "source": [ "Here the correct solution is found and the speed is better than bisection:" @@ -602,7 +602,7 @@ { "cell_type": "code", "execution_count": null, - "id": "960cea7c", + "id": "e1dd42af", "metadata": { "hide-output": false }, @@ -614,7 +614,7 @@ { "cell_type": "code", "execution_count": null, - "id": "788d1b71", + "id": "264b6d4a", "metadata": { "hide-output": false }, @@ -625,7 +625,7 @@ }, { "cell_type": "markdown", - "id": "403d482f", + "id": "bc09230e", "metadata": {}, "source": [ "### Multivariate Root-Finding\n", @@ -639,7 +639,7 @@ }, { "cell_type": "markdown", - "id": "8d76f3e6", + "id": "e0b3fab9", "metadata": {}, "source": [ "### Fixed Points\n", @@ -654,7 +654,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fb31a59d", + "id": "2d42b072", "metadata": { "hide-output": false }, @@ -667,7 +667,7 @@ }, { "cell_type": "markdown", - "id": "c632c9f0", + "id": "79c6ea0d", "metadata": {}, "source": [ "If you don’t get good results, you can always switch back to the `brentq` root finder, since\n", @@ -676,7 +676,7 @@ }, { "cell_type": "markdown", - "id": "40ea6a11", + "id": "7dc0b991", "metadata": {}, "source": [ "## Optimization\n", @@ -700,7 +700,7 @@ { "cell_type": "code", "execution_count": null, - "id": "76e56c1a", + "id": "e5d5a950", "metadata": { "hide-output": false }, @@ -713,7 +713,7 @@ }, { "cell_type": "markdown", - "id": "f448e36a", + "id": "92eadfca", "metadata": {}, "source": [ "### Multivariate Optimization\n", @@ -729,7 +729,7 @@ }, { "cell_type": "markdown", - "id": "8d716a9b", + "id": "7e50b341", "metadata": {}, "source": [ "## Integration\n", @@ -748,7 +748,7 @@ { "cell_type": "code", "execution_count": null, - "id": "26309ef8", + "id": "9c65d951", "metadata": { "hide-output": false }, @@ -762,7 +762,7 @@ }, { "cell_type": "markdown", - "id": "7696b545", + "id": "be4a1ca1", "metadata": {}, "source": [ "In fact, `quad` is an interface to a very standard numerical integration routine in the Fortran library QUADPACK.\n", @@ -778,7 +778,7 @@ }, { "cell_type": "markdown", - "id": "d5d20cef", + "id": "a05e701a", "metadata": {}, "source": [ "## Linear Algebra\n", @@ -796,7 +796,7 @@ }, { "cell_type": "markdown", - "id": "9f817a06", + "id": "fe4c9641", "metadata": {}, "source": [ "## Exercises\n", @@ -825,7 +825,7 @@ }, { "cell_type": "markdown", - "id": "5c56bbfd", + "id": "9c09075d", "metadata": {}, "source": [ "## Exercise 12.1\n", @@ -849,7 +849,7 @@ }, { "cell_type": "markdown", - "id": "5973b621", + "id": "1a8c0cac", "metadata": {}, "source": [ "## Solution to[ Exercise 12.1](https://python-programming.quantecon.org/#sp_ex01)\n", @@ -860,7 +860,7 @@ { "cell_type": "code", "execution_count": null, - "id": "25c897e8", + "id": "5eb3b1d7", "metadata": { "hide-output": false }, @@ -885,7 +885,7 @@ }, { "cell_type": "markdown", - "id": "95a7e1cf", + "id": "0aa587dc", "metadata": {}, "source": [ "## Exercise 12.2\n", @@ -895,7 +895,7 @@ }, { "cell_type": "markdown", - "id": "cec4436c", + "id": "429660b0", "metadata": {}, "source": [ "## Solution to[ Exercise 12.2](https://python-programming.quantecon.org/#sp_ex02)" @@ -904,7 +904,7 @@ { "cell_type": "code", "execution_count": null, - "id": "de5f80d7", + "id": "bf1d4883", "metadata": { "hide-output": false }, @@ -916,7 +916,7 @@ }, { "cell_type": "markdown", - "id": "b9dd6d47", + "id": "b984a4b3", "metadata": {}, "source": [ "## Exercise 12.3\n", @@ -938,7 +938,7 @@ }, { "cell_type": "markdown", - "id": "dc169e4f", + "id": "d7b9d2f6", "metadata": {}, "source": [ "## Solution to[ Exercise 12.3](https://python-programming.quantecon.org/#sp_ex03)\n", @@ -949,7 +949,7 @@ { "cell_type": "code", "execution_count": null, - "id": "acc11a2a", + "id": "30efa86f", "metadata": { "hide-output": false }, @@ -964,7 +964,7 @@ }, { "cell_type": "markdown", - "id": "4ebd43ba", + "id": "ca042673", "metadata": {}, "source": [ "## Exercise 12.4\n", @@ -978,7 +978,7 @@ }, { "cell_type": "markdown", - "id": "3a80a279", + "id": "2b8fb45d", "metadata": {}, "source": [ "## Solution to[ Exercise 12.4](https://python-programming.quantecon.org/#sp_ex1)\n", @@ -989,7 +989,7 @@ { "cell_type": "code", "execution_count": null, - "id": "27036019", + "id": "c874b136", "metadata": { "hide-output": false }, @@ -1014,7 +1014,7 @@ }, { "cell_type": "markdown", - "id": "e0cadb01", + "id": "2b3c912c", "metadata": {}, "source": [ "We can test it as follows" @@ -1023,7 +1023,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f98a67cd", + "id": "51966e6c", "metadata": { "hide-output": false }, @@ -1035,7 +1035,7 @@ } ], "metadata": { - "date": 1702956203.1682878, + "date": 1703113308.4241705, "filename": "scipy.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/status.ipynb b/_notebooks/status.ipynb index 00f44b06..aa01ef1b 100644 --- a/_notebooks/status.ipynb +++ b/_notebooks/status.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "d042e1f0", + "id": "2c04115c", "metadata": {}, "source": [ "# Execution Statistics\n", @@ -11,29 +11,29 @@ "\n", "[](https://python-programming.quantecon.org/about_py.html)[](https://python-programming.quantecon.org/debugging.html)[](https://python-programming.quantecon.org/functions.html)[](https://python-programming.quantecon.org/getting_started.html)[](https://python-programming.quantecon.org/intro.html)[](https://python-programming.quantecon.org/jax_intro.html)[](https://python-programming.quantecon.org/matplotlib.html)[](https://python-programming.quantecon.org/need_for_speed.html)[](https://python-programming.quantecon.org/numba.html)[](https://python-programming.quantecon.org/numpy.html)[](https://python-programming.quantecon.org/oop_intro.html)[](https://python-programming.quantecon.org/pandas.html)[](https://python-programming.quantecon.org/parallelization.html)[](https://python-programming.quantecon.org/python_advanced_features.html)[](https://python-programming.quantecon.org/python_by_example.html)[](https://python-programming.quantecon.org/python_essentials.html)[](https://python-programming.quantecon.org/python_oop.html)[](https://python-programming.quantecon.org/scipy.html)[](https://python-programming.quantecon.org/.html)[](https://python-programming.quantecon.org/sympy.html)[](https://python-programming.quantecon.org/troubleshooting.html)[](https://python-programming.quantecon.org/workspace.html)[](https://python-programming.quantecon.org/writing_good_code.html)|Document|Modified|Method|Run Time (s)|Status|\n", "|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|\n", - "|about_py|2023-12-14 03:45|cache|2.85|✅|\n", - "|debugging|2023-12-14 03:45|cache|2.09|✅|\n", - "|functions|2023-12-14 03:45|cache|2.04|✅|\n", - "|getting_started|2023-12-14 03:45|cache|1.38|✅|\n", - "|intro|2023-12-14 03:45|cache|1.0|✅|\n", - "|jax_intro|2023-12-14 03:45|cache|1.0|✅|\n", - "|matplotlib|2023-12-14 03:45|cache|4.37|✅|\n", - "|need_for_speed|2023-12-14 03:45|cache|10.33|✅|\n", - "|numba|2023-12-14 03:46|cache|12.73|✅|\n", - "|numpy|2023-12-14 03:46|cache|7.66|✅|\n", - "|oop_intro|2023-12-14 03:46|cache|1.63|✅|\n", - "|pandas|2023-12-14 03:46|cache|41.84|✅|\n", - "|parallelization|2023-12-14 03:47|cache|40.35|✅|\n", - "|python_advanced_features|2023-12-14 03:47|cache|18.05|✅|\n", - "|python_by_example|2023-12-14 03:48|cache|6.55|✅|\n", - "|python_essentials|2023-12-14 03:48|cache|1.61|✅|\n", - "|python_oop|2023-12-14 03:48|cache|2.33|✅|\n", - "|scipy|2023-12-14 03:48|cache|10.58|✅|\n", - "|status|2023-12-14 03:45|cache|1.0|✅|\n", - "|sympy|2023-12-14 03:48|cache|5.99|✅|\n", - "|troubleshooting|2023-12-14 03:45|cache|1.0|✅|\n", - "|workspace|2023-12-14 03:45|cache|1.0|✅|\n", - "|writing_good_code|2023-12-14 03:48|cache|2.92|✅|\n", + "|about_py|2023-12-20 22:51|cache|2.91|✅|\n", + "|debugging|2023-12-20 22:51|cache|2.25|✅|\n", + "|functions|2023-12-20 22:51|cache|1.89|✅|\n", + "|getting_started|2023-12-20 22:51|cache|1.56|✅|\n", + "|intro|2023-12-20 22:51|cache|0.93|✅|\n", + "|jax_intro|2023-12-20 22:51|cache|0.84|✅|\n", + "|matplotlib|2023-12-20 22:51|cache|4.72|✅|\n", + "|need_for_speed|2023-12-20 22:51|cache|10.09|✅|\n", + "|numba|2023-12-20 22:52|cache|12.9|✅|\n", + "|numpy|2023-12-20 22:52|cache|7.7|✅|\n", + "|oop_intro|2023-12-20 22:52|cache|1.7|✅|\n", + "|pandas|2023-12-20 22:53|cache|41.49|✅|\n", + "|parallelization|2023-12-20 22:53|cache|41.0|✅|\n", + "|python_advanced_features|2023-12-20 22:54|cache|17.68|✅|\n", + "|python_by_example|2023-12-20 22:54|cache|6.79|✅|\n", + "|python_essentials|2023-12-20 22:54|cache|1.74|✅|\n", + "|python_oop|2023-12-20 22:54|cache|2.41|✅|\n", + "|scipy|2023-12-20 22:54|cache|10.87|✅|\n", + "|status|2023-12-20 22:51|cache|0.93|✅|\n", + "|sympy|2023-12-20 22:54|cache|6.19|✅|\n", + "|troubleshooting|2023-12-20 22:51|cache|0.93|✅|\n", + "|workspace|2023-12-20 22:51|cache|0.93|✅|\n", + "|writing_good_code|2023-12-20 22:54|cache|2.73|✅|\n", "\n", "\n", "These lectures are built on `linux` instances through `github actions`." @@ -41,7 +41,7 @@ } ], "metadata": { - "date": 1702956203.1824121, + "date": 1703113308.439477, "filename": "status.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/sympy.ipynb b/_notebooks/sympy.ipynb index 8cf6cf99..c82623cb 100644 --- a/_notebooks/sympy.ipynb +++ b/_notebooks/sympy.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "cb36b1b9", + "id": "38e47e6e", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "4bcb9d86", + "id": "494cbbb7", "metadata": {}, "source": [ "# SymPy\n", @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "30146afd", + "id": "b4c03104", "metadata": {}, "source": [ "## Contents\n", @@ -44,7 +44,7 @@ }, { "cell_type": "markdown", - "id": "8690ef04", + "id": "955c627d", "metadata": {}, "source": [ "## Overview\n", @@ -68,7 +68,7 @@ }, { "cell_type": "markdown", - "id": "27a38b61", + "id": "3271ba03", "metadata": {}, "source": [ "## Getting Started\n", @@ -79,7 +79,7 @@ { "cell_type": "code", "execution_count": null, - "id": "73734bc9", + "id": "a890fe83", "metadata": { "hide-output": false }, @@ -99,7 +99,7 @@ }, { "cell_type": "markdown", - "id": "9938da60", + "id": "2ce9b1ac", "metadata": {}, "source": [ "## Symbolic algebra" @@ -107,7 +107,7 @@ }, { "cell_type": "markdown", - "id": "66530cd9", + "id": "8686956f", "metadata": {}, "source": [ "### Symbols\n", @@ -118,7 +118,7 @@ { "cell_type": "code", "execution_count": null, - "id": "35da608e", + "id": "ef663e81", "metadata": { "hide-output": false }, @@ -129,7 +129,7 @@ }, { "cell_type": "markdown", - "id": "b55ca7d3", + "id": "f73fad18", "metadata": {}, "source": [ "Symbols are the basic units for symbolic computation in SymPy." @@ -137,7 +137,7 @@ }, { "cell_type": "markdown", - "id": "fb04f64b", + "id": "32fcf01d", "metadata": {}, "source": [ "### Expressions\n", @@ -150,7 +150,7 @@ { "cell_type": "code", "execution_count": null, - "id": "69e418ed", + "id": "b2529be9", "metadata": { "hide-output": false }, @@ -162,7 +162,7 @@ }, { "cell_type": "markdown", - "id": "7af31b74", + "id": "f7ecc2a6", "metadata": {}, "source": [ "We can expand this expression with the `expand` function" @@ -171,7 +171,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bc9af5a2", + "id": "ee2476e2", "metadata": { "hide-output": false }, @@ -183,7 +183,7 @@ }, { "cell_type": "markdown", - "id": "c78fff0f", + "id": "1d15883d", "metadata": {}, "source": [ "and factorize it back to the factored form with the `factor` function" @@ -192,7 +192,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4722b926", + "id": "fbac489c", "metadata": { "hide-output": false }, @@ -203,7 +203,7 @@ }, { "cell_type": "markdown", - "id": "a1db063a", + "id": "7afeefd9", "metadata": {}, "source": [ "We can solve this expression" @@ -212,7 +212,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4417a07e", + "id": "dade2053", "metadata": { "hide-output": false }, @@ -223,7 +223,7 @@ }, { "cell_type": "markdown", - "id": "18a5bf56", + "id": "97005c5e", "metadata": {}, "source": [ "Note this is equivalent to solving the following equation for `x`\n", @@ -241,7 +241,7 @@ }, { "cell_type": "markdown", - "id": "75707ffc", + "id": "188905fb", "metadata": {}, "source": [ "### Equations\n", @@ -254,7 +254,7 @@ { "cell_type": "code", "execution_count": null, - "id": "53ae8ad7", + "id": "bf690540", "metadata": { "hide-output": false }, @@ -266,7 +266,7 @@ }, { "cell_type": "markdown", - "id": "ecfc9426", + "id": "d78253fa", "metadata": {}, "source": [ "Solving this equation with respect to $ x $ gives the same output as solving the expression directly" @@ -275,7 +275,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b2a8fede", + "id": "5e09c5a4", "metadata": { "hide-output": false }, @@ -286,7 +286,7 @@ }, { "cell_type": "markdown", - "id": "903d6872", + "id": "bde3e316", "metadata": {}, "source": [ "SymPy can handle equations with multiple solutions" @@ -295,7 +295,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f7dadfc6", + "id": "c0f27754", "metadata": { "hide-output": false }, @@ -307,7 +307,7 @@ }, { "cell_type": "markdown", - "id": "6442d54f", + "id": "97ca41be", "metadata": {}, "source": [ "`solve` function can also combine multiple equations together and solve a system of equations" @@ -316,7 +316,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0fc28412", + "id": "65513983", "metadata": { "hide-output": false }, @@ -329,7 +329,7 @@ { "cell_type": "code", "execution_count": null, - "id": "78dd9cfc", + "id": "82a9d1d6", "metadata": { "hide-output": false }, @@ -340,7 +340,7 @@ }, { "cell_type": "markdown", - "id": "8c37a51b", + "id": "6a563dc2", "metadata": {}, "source": [ "We can also solve for the value of $ y $ by simply substituting $ x $ with $ y $" @@ -349,7 +349,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cd7a92e2", + "id": "00e3c0f2", "metadata": { "hide-output": false }, @@ -362,7 +362,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8b57d5d5", + "id": "08811c63", "metadata": { "hide-output": false }, @@ -373,7 +373,7 @@ }, { "cell_type": "markdown", - "id": "4d89e28a", + "id": "e1a2faed", "metadata": {}, "source": [ "Below is another example equation with the symbol `x` and functions `sin`, `cos`, and `tan` using the `Eq` function" @@ -382,7 +382,7 @@ { "cell_type": "code", "execution_count": null, - "id": "66e187fa", + "id": "1dd9a803", "metadata": { "hide-output": false }, @@ -395,7 +395,7 @@ }, { "cell_type": "markdown", - "id": "0b6c9c85", + "id": "39887c4d", "metadata": {}, "source": [ "Now we simplify this equation using the `simplify` function" @@ -404,7 +404,7 @@ { "cell_type": "code", "execution_count": null, - "id": "83287499", + "id": "b2e19e0c", "metadata": { "hide-output": false }, @@ -417,7 +417,7 @@ }, { "cell_type": "markdown", - "id": "d08e7107", + "id": "0998df69", "metadata": {}, "source": [ "Again, we use the `solve` function to solve this equation" @@ -426,7 +426,7 @@ { "cell_type": "code", "execution_count": null, - "id": "dca7d0c0", + "id": "ae1e76e6", "metadata": { "hide-output": false }, @@ -439,7 +439,7 @@ }, { "cell_type": "markdown", - "id": "6fbcc91d", + "id": "b920164c", "metadata": {}, "source": [ "SymPy can also handle more complex equations involving trigonometry and complex numbers.\n", @@ -450,7 +450,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3526dfd0", + "id": "c85cb81c", "metadata": { "hide-output": false }, @@ -464,7 +464,7 @@ { "cell_type": "code", "execution_count": null, - "id": "584f9671", + "id": "a4552e18", "metadata": { "hide-output": false }, @@ -475,7 +475,7 @@ }, { "cell_type": "markdown", - "id": "bec13677", + "id": "45988a7e", "metadata": {}, "source": [ "If you are interested, we encourage you to read the lecture on [trigonometry and complex numbers](https://python.quantecon.org/complex_and_trig.html)." @@ -483,7 +483,7 @@ }, { "cell_type": "markdown", - "id": "4852c6be", + "id": "9f2890d3", "metadata": {}, "source": [ "#### Example: fixed point computation\n", @@ -512,7 +512,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0b700046", + "id": "11fefe81", "metadata": { "hide-output": false }, @@ -523,7 +523,7 @@ }, { "cell_type": "markdown", - "id": "0b174b89", + "id": "0282a17b", "metadata": {}, "source": [ "Now we solve for the fixed point $ k^* $\n", @@ -536,7 +536,7 @@ { "cell_type": "code", "execution_count": null, - "id": "75c080ef", + "id": "1f2a81bf", "metadata": { "hide-output": false }, @@ -550,7 +550,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c1b69b2a", + "id": "34ed7663", "metadata": { "hide-output": false }, @@ -561,7 +561,7 @@ }, { "cell_type": "markdown", - "id": "4f56a299", + "id": "26372341", "metadata": {}, "source": [ "### Inequalities and logic\n", @@ -572,7 +572,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e459342f", + "id": "64d572ab", "metadata": { "hide-output": false }, @@ -584,7 +584,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0caec579", + "id": "c463d5cb", "metadata": { "hide-output": false }, @@ -595,7 +595,7 @@ }, { "cell_type": "markdown", - "id": "f49f8edf", + "id": "124a57ac", "metadata": {}, "source": [ "### Series\n", @@ -608,7 +608,7 @@ { "cell_type": "code", "execution_count": null, - "id": "25f048d8", + "id": "9ae6906a", "metadata": { "hide-output": false }, @@ -623,7 +623,7 @@ }, { "cell_type": "markdown", - "id": "7caee96a", + "id": "8d12034d", "metadata": {}, "source": [ "To evaluate the sum, we can [`lambdify`](https://docs.sympy.org/latest/modules/utilities/lambdify.html#sympy.utilities.lambdify.lambdify) the formula.\n", @@ -634,7 +634,7 @@ { "cell_type": "code", "execution_count": null, - "id": "6d80d8fb", + "id": "e8a601b0", "metadata": { "hide-output": false }, @@ -647,7 +647,7 @@ }, { "cell_type": "markdown", - "id": "c64ed841", + "id": "e4843ff5", "metadata": {}, "source": [ "#### Example: bank deposits\n", @@ -668,7 +668,7 @@ { "cell_type": "code", "execution_count": null, - "id": "38a48178", + "id": "9156b686", "metadata": { "hide-output": false }, @@ -682,7 +682,7 @@ }, { "cell_type": "markdown", - "id": "5382ff40", + "id": "2d05a837", "metadata": {}, "source": [ "We can call the `doit` method to evaluate the series" @@ -691,7 +691,7 @@ { "cell_type": "code", "execution_count": null, - "id": "85c27ac2", + "id": "7d59e146", "metadata": { "hide-output": false }, @@ -702,7 +702,7 @@ }, { "cell_type": "markdown", - "id": "bd19c01d", + "id": "1edfbed8", "metadata": {}, "source": [ "Simplifying the expression above gives" @@ -711,7 +711,7 @@ { "cell_type": "code", "execution_count": null, - "id": "79303d43", + "id": "b70aa21c", "metadata": { "hide-output": false }, @@ -722,7 +722,7 @@ }, { "cell_type": "markdown", - "id": "6aee36c1", + "id": "7b3955a1", "metadata": {}, "source": [ "This is consistent with the solution in the lecture on [geometric series](https://python.quantecon.org/geom_series.html#example-the-money-multiplier-in-fractional-reserve-banking)." @@ -730,7 +730,7 @@ }, { "cell_type": "markdown", - "id": "960b10be", + "id": "3a198793", "metadata": {}, "source": [ "#### Example: discrete random variable\n", @@ -747,7 +747,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8d3b4f45", + "id": "201e299a", "metadata": { "hide-output": false }, @@ -763,7 +763,7 @@ }, { "cell_type": "markdown", - "id": "a15296a3", + "id": "ccebf64e", "metadata": {}, "source": [ "We can verify if the sum of probabilities for all possible values equals $ 1 $:\n", @@ -776,7 +776,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1aa9c82e", + "id": "fabaf528", "metadata": { "hide-output": false }, @@ -788,7 +788,7 @@ }, { "cell_type": "markdown", - "id": "cf6cc037", + "id": "3680b5c4", "metadata": {}, "source": [ "The expectation of the distribution is:\n", @@ -801,7 +801,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bd776bef", + "id": "fb1a7a01", "metadata": { "hide-output": false }, @@ -813,7 +813,7 @@ }, { "cell_type": "markdown", - "id": "52e382ac", + "id": "b33cfd4e", "metadata": {}, "source": [ "SymPy includes a statistics submodule called [`Stats`](https://docs.sympy.org/latest/modules/stats.html).\n", @@ -826,7 +826,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4bc478b9", + "id": "eff6777b", "metadata": { "hide-output": false }, @@ -841,7 +841,7 @@ }, { "cell_type": "markdown", - "id": "e1088b08", + "id": "235686b9", "metadata": {}, "source": [ "## Symbolic Calculus\n", @@ -851,7 +851,7 @@ }, { "cell_type": "markdown", - "id": "ae6394a5", + "id": "86f3f7d8", "metadata": {}, "source": [ "### Limits\n", @@ -862,7 +862,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1bd26ac8", + "id": "0c109898", "metadata": { "hide-output": false }, @@ -878,7 +878,7 @@ }, { "cell_type": "markdown", - "id": "c0c7b525", + "id": "1ece2d97", "metadata": {}, "source": [ "### Derivatives\n", @@ -889,7 +889,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d69d15e6", + "id": "0b4c1ce0", "metadata": { "hide-output": false }, @@ -902,7 +902,7 @@ }, { "cell_type": "markdown", - "id": "924fd8cb", + "id": "8c660d70", "metadata": {}, "source": [ "### Integrals\n", @@ -913,7 +913,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fbc2d1e6", + "id": "2361b900", "metadata": { "hide-output": false }, @@ -926,7 +926,7 @@ }, { "cell_type": "markdown", - "id": "273d3601", + "id": "d9d4a640", "metadata": {}, "source": [ "Let’s use this function to compute the moment-generating function of [exponential distribution](https://en.wikipedia.org/wiki/Exponential_distribution) with the probability density function:\n", @@ -939,7 +939,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5e0dcfa5", + "id": "95b8ba9f", "metadata": { "hide-output": false }, @@ -954,7 +954,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e660aac3", + "id": "54052b3e", "metadata": { "hide-output": false }, @@ -967,7 +967,7 @@ }, { "cell_type": "markdown", - "id": "c6e7ef01", + "id": "13605622", "metadata": {}, "source": [ "Note that we can also use `Stats` module to compute the moment" @@ -976,7 +976,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e0324962", + "id": "734ddd09", "metadata": { "hide-output": false }, @@ -988,7 +988,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c19128d6", + "id": "3194c1bd", "metadata": { "hide-output": false }, @@ -1000,7 +1000,7 @@ { "cell_type": "code", "execution_count": null, - "id": "328d1804", + "id": "fb197cf8", "metadata": { "hide-output": false }, @@ -1011,7 +1011,7 @@ }, { "cell_type": "markdown", - "id": "0aaa03d3", + "id": "5b7692ac", "metadata": {}, "source": [ "Using the `integrate` function, we can derive the cumulative density function of the exponential distribution with $ \\lambda = 0.5 $" @@ -1020,7 +1020,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e91d9251", + "id": "bb716c30", "metadata": { "hide-output": false }, @@ -1033,7 +1033,7 @@ { "cell_type": "code", "execution_count": null, - "id": "409aa1aa", + "id": "325a91f9", "metadata": { "hide-output": false }, @@ -1044,7 +1044,7 @@ }, { "cell_type": "markdown", - "id": "bc946a9b", + "id": "e10bde12", "metadata": {}, "source": [ "Using `cdf` in `Stats` module gives the same solution" @@ -1053,7 +1053,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4bbaaf11", + "id": "73893cd3", "metadata": { "hide-output": false }, @@ -1065,7 +1065,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3ed4b1b1", + "id": "31265e1f", "metadata": { "hide-output": false }, @@ -1079,7 +1079,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9950a302", + "id": "fc8794c6", "metadata": { "hide-output": false }, @@ -1091,7 +1091,7 @@ }, { "cell_type": "markdown", - "id": "b16f89e7", + "id": "3ac71b75", "metadata": {}, "source": [ "## Plotting\n", @@ -1104,7 +1104,7 @@ { "cell_type": "code", "execution_count": null, - "id": "79f3a4b2", + "id": "32687a09", "metadata": { "hide-output": false }, @@ -1118,7 +1118,7 @@ }, { "cell_type": "markdown", - "id": "6ca3e804", + "id": "5daba66c", "metadata": {}, "source": [ "Similar to Matplotlib, SymPy provides an interface to customize the graph" @@ -1127,7 +1127,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4e97b271", + "id": "a05e6cf3", "metadata": { "hide-output": false }, @@ -1147,7 +1147,7 @@ }, { "cell_type": "markdown", - "id": "bc1ab0ad", + "id": "ae58e8ea", "metadata": {}, "source": [ "It also supports plotting implicit functions and visualizing inequalities" @@ -1156,7 +1156,7 @@ { "cell_type": "code", "execution_count": null, - "id": "be597a8d", + "id": "e99105dc", "metadata": { "hide-output": false }, @@ -1168,7 +1168,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a784ca69", + "id": "8e1386ff", "metadata": { "hide-output": false }, @@ -1180,7 +1180,7 @@ }, { "cell_type": "markdown", - "id": "4aa22288", + "id": "2bdc6264", "metadata": {}, "source": [ "and visualizations in three-dimensional space" @@ -1189,7 +1189,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a5ef6e6d", + "id": "50c6ef6a", "metadata": { "hide-output": false }, @@ -1200,7 +1200,7 @@ }, { "cell_type": "markdown", - "id": "e96dcbf5", + "id": "e5401755", "metadata": {}, "source": [ "## Application: Two-person Exchange Economy\n", @@ -1227,7 +1227,7 @@ { "cell_type": "code", "execution_count": null, - "id": "008434ea", + "id": "0b4fee3c", "metadata": { "hide-output": false }, @@ -1242,7 +1242,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a6775ab4", + "id": "efcc7b1c", "metadata": { "hide-output": false }, @@ -1254,7 +1254,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ea4712fc", + "id": "64242501", "metadata": { "hide-output": false }, @@ -1265,7 +1265,7 @@ }, { "cell_type": "markdown", - "id": "5509e90f", + "id": "25137c8b", "metadata": {}, "source": [ "We are interested in the Pareto optimal allocation of goods $ x $ and $ y $.\n", @@ -1282,7 +1282,7 @@ { "cell_type": "code", "execution_count": null, - "id": "893ccb7a", + "id": "dca62719", "metadata": { "hide-output": false }, @@ -1299,7 +1299,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0c793658", + "id": "4a13284d", "metadata": { "hide-output": false }, @@ -1312,7 +1312,7 @@ }, { "cell_type": "markdown", - "id": "271a9fb9", + "id": "e8766836", "metadata": {}, "source": [ "Let’s compute the Pareto optimal allocations of the economy (contract curves) with $ \\alpha = \\beta = 0.5 $ using SymPy" @@ -1321,7 +1321,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1fa7e686", + "id": "a65423ce", "metadata": { "hide-output": false }, @@ -1333,7 +1333,7 @@ }, { "cell_type": "markdown", - "id": "8be31f64", + "id": "f1768170", "metadata": {}, "source": [ "We can use this result to visualize more contract curves under different parameters" @@ -1342,7 +1342,7 @@ { "cell_type": "code", "execution_count": null, - "id": "52ee6546", + "id": "06c8893f", "metadata": { "hide-output": false }, @@ -1370,7 +1370,7 @@ }, { "cell_type": "markdown", - "id": "1b524f5d", + "id": "3c0d7fcf", "metadata": {}, "source": [ "We invite you to play with the parameters and see how the contract curves change and think about the following two questions:\n", @@ -1381,7 +1381,7 @@ }, { "cell_type": "markdown", - "id": "24853894", + "id": "bcbb79fb", "metadata": {}, "source": [ "## Exercises" @@ -1389,7 +1389,7 @@ }, { "cell_type": "markdown", - "id": "3205a372", + "id": "f93b3ad8", "metadata": {}, "source": [ "## Exercise 14.1\n", @@ -1411,7 +1411,7 @@ }, { "cell_type": "markdown", - "id": "2f4ba8b9", + "id": "b650cd96", "metadata": {}, "source": [ "## Solution to[ Exercise 14.1](https://python-programming.quantecon.org/#sympy_ex1)\n", @@ -1422,7 +1422,7 @@ { "cell_type": "code", "execution_count": null, - "id": "de0954f7", + "id": "3e21d585", "metadata": { "hide-output": false }, @@ -1436,7 +1436,7 @@ }, { "cell_type": "markdown", - "id": "ace718c9", + "id": "69667b21", "metadata": {}, "source": [ "Sympy is smart enough to solve this limit" @@ -1445,7 +1445,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c40d3271", + "id": "f7e1c052", "metadata": { "hide-output": false }, @@ -1457,7 +1457,7 @@ }, { "cell_type": "markdown", - "id": "4204b813", + "id": "6ad58106", "metadata": {}, "source": [ "We compare the result suggested by L’Hôpital’s rule" @@ -1466,7 +1466,7 @@ { "cell_type": "code", "execution_count": null, - "id": "19e964b4", + "id": "8f40939c", "metadata": { "hide-output": false }, @@ -1479,7 +1479,7 @@ }, { "cell_type": "markdown", - "id": "01a4e01f", + "id": "134c135c", "metadata": {}, "source": [ "## Exercise 14.2\n", @@ -1503,7 +1503,7 @@ }, { "cell_type": "markdown", - "id": "655d3c3a", + "id": "e6cd5370", "metadata": {}, "source": [ "## Solution to[ Exercise 14.2](https://python-programming.quantecon.org/#sympy_ex2)\n", @@ -1514,7 +1514,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ec13e165", + "id": "b63dd3a3", "metadata": { "hide-output": false }, @@ -1529,7 +1529,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f616b7ec", + "id": "d559f8fe", "metadata": { "hide-output": false }, @@ -1541,7 +1541,7 @@ }, { "cell_type": "markdown", - "id": "7cd45b1d", + "id": "563b6310", "metadata": {}, "source": [ "Now we compute the log-likelihood function and solve for the result" @@ -1550,7 +1550,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d37d05ce", + "id": "65009919", "metadata": { "hide-output": false }, @@ -1562,7 +1562,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a8239d8e", + "id": "73c59ee1", "metadata": { "hide-output": false }, @@ -1575,7 +1575,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e3d974ac", + "id": "27fa9456", "metadata": { "hide-output": false }, @@ -1586,7 +1586,7 @@ } ], "metadata": { - "date": 1702956203.2270775, + "date": 1703113308.4856417, "filename": "sympy.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/troubleshooting.ipynb b/_notebooks/troubleshooting.ipynb index 48dea922..0fc57415 100644 --- a/_notebooks/troubleshooting.ipynb +++ b/_notebooks/troubleshooting.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "866d0db9", + "id": "eeea8e2f", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "a7eafec4", + "id": "97d4937a", "metadata": {}, "source": [ "# Troubleshooting" @@ -24,7 +24,7 @@ }, { "cell_type": "markdown", - "id": "1d16a308", + "id": "c74890a8", "metadata": {}, "source": [ "## Contents\n", @@ -36,7 +36,7 @@ }, { "cell_type": "markdown", - "id": "a1a59d89", + "id": "bf5439f2", "metadata": {}, "source": [ "This page is for readers experiencing errors when running the code from the lectures." @@ -44,7 +44,7 @@ }, { "cell_type": "markdown", - "id": "d5c351ef", + "id": "1d7e3e6c", "metadata": {}, "source": [ "## Fixing Your Local Environment\n", @@ -86,7 +86,7 @@ }, { "cell_type": "markdown", - "id": "833898c1", + "id": "b59563dc", "metadata": {}, "source": [ "## Reporting an Issue\n", @@ -103,7 +103,7 @@ } ], "metadata": { - "date": 1702956203.237312, + "date": 1703113308.496338, "filename": "troubleshooting.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/workspace.ipynb b/_notebooks/workspace.ipynb index f99ef69c..1c1f4498 100644 --- a/_notebooks/workspace.ipynb +++ b/_notebooks/workspace.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "a24db5a8", + "id": "75f5563c", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "00ef7a28", + "id": "1674473d", "metadata": {}, "source": [ "# Writing Longer Programs" @@ -24,7 +24,7 @@ }, { "cell_type": "markdown", - "id": "e77bfb21", + "id": "629e69a3", "metadata": {}, "source": [ "## Contents\n", @@ -40,7 +40,7 @@ }, { "cell_type": "markdown", - "id": "59bbb62a", + "id": "4ce8e689", "metadata": {}, "source": [ "## Overview\n", @@ -73,7 +73,7 @@ }, { "cell_type": "markdown", - "id": "1a8deeff", + "id": "f3b39fa2", "metadata": {}, "source": [ "## Working with Python files\n", @@ -88,7 +88,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c1b5b5ca", + "id": "0e9e4fa7", "metadata": { "hide-output": false }, @@ -109,7 +109,7 @@ }, { "cell_type": "markdown", - "id": "5d03a87c", + "id": "744e0625", "metadata": {}, "source": [ "The code is first saved locally on the computer before it is executed.\n", @@ -126,7 +126,7 @@ { "cell_type": "code", "execution_count": null, - "id": "67344fde", + "id": "49ab4dae", "metadata": { "hide-output": false }, @@ -149,7 +149,7 @@ }, { "cell_type": "markdown", - "id": "b421cf03", + "id": "57f25501", "metadata": {}, "source": [ "second_script.py" @@ -158,7 +158,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4e9829b1", + "id": "529aa2a4", "metadata": { "hide-output": false }, @@ -172,7 +172,7 @@ }, { "cell_type": "markdown", - "id": "1e567999", + "id": "b0a2f647", "metadata": {}, "source": [ "This allows you to split your code into chunks and structure your codebase better.\n", @@ -182,7 +182,7 @@ }, { "cell_type": "markdown", - "id": "d294d697", + "id": "7195affb", "metadata": {}, "source": [ "## Development environments\n", @@ -199,7 +199,7 @@ }, { "cell_type": "markdown", - "id": "c18f9f01", + "id": "cead9c47", "metadata": {}, "source": [ "## A step forward from Jupyter Notebooks: JupyterLab\n", @@ -214,7 +214,7 @@ { "cell_type": "code", "execution_count": null, - "id": "88e7a601", + "id": "a2044245", "metadata": { "hide-output": false }, @@ -225,7 +225,7 @@ }, { "cell_type": "markdown", - "id": "7cdc8628", + "id": "e8e72349", "metadata": {}, "source": [ "and launch it in the browser, similar to Jupyter Notebooks." @@ -234,7 +234,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2d711c4b", + "id": "53dc0ee2", "metadata": { "hide-output": false }, @@ -245,7 +245,7 @@ }, { "cell_type": "markdown", - "id": "6f504fb3", + "id": "b195d7a7", "metadata": {}, "source": [ "![https://python-programming.quantecon.org/_static/lecture_specific/workspace/jupyter_lab_cmd.png](https://python-programming.quantecon.org/_static/lecture_specific/workspace/jupyter_lab_cmd.png)\n", @@ -286,7 +286,7 @@ }, { "cell_type": "markdown", - "id": "fe400d5a", + "id": "8630c5d1", "metadata": {}, "source": [ "### Using magic commands\n", @@ -302,7 +302,7 @@ }, { "cell_type": "markdown", - "id": "51e9376b", + "id": "61c99d66", "metadata": {}, "source": [ "### Using the terminal\n", @@ -315,7 +315,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a21f73d1", + "id": "8e7859f8", "metadata": { "hide-output": false }, @@ -326,7 +326,7 @@ }, { "cell_type": "markdown", - "id": "c7e7e311", + "id": "76a9e46e", "metadata": {}, "source": [ "![https://python-programming.quantecon.org/_static/lecture_specific/workspace/jupyter_lab_py_run_term.png](https://python-programming.quantecon.org/_static/lecture_specific/workspace/jupyter_lab_py_run_term.png)\n", @@ -347,7 +347,7 @@ }, { "cell_type": "markdown", - "id": "da351c8d", + "id": "a97511af", "metadata": {}, "source": [ "## A walk through Visual Studio Code\n", @@ -427,7 +427,7 @@ }, { "cell_type": "markdown", - "id": "33cf2611", + "id": "df07ecf8", "metadata": {}, "source": [ "### Using the run button\n", @@ -447,7 +447,7 @@ }, { "cell_type": "markdown", - "id": "3bf4990c", + "id": "ad5c7e11", "metadata": {}, "source": [ "### Using the terminal\n", @@ -470,7 +470,7 @@ }, { "cell_type": "markdown", - "id": "5360295d", + "id": "08240bf1", "metadata": {}, "source": [ "## Git your hands dirty\n", @@ -510,7 +510,7 @@ }, { "cell_type": "markdown", - "id": "e340b2fe", + "id": "1e61d022", "metadata": { "hide-output": false }, @@ -522,7 +522,7 @@ }, { "cell_type": "markdown", - "id": "4daefa43", + "id": "81b8e050", "metadata": {}, "source": [ "(This is just `git clone` in front of the URL for the repository)\n", @@ -548,7 +548,7 @@ } ], "metadata": { - "date": 1702956203.2529619, + "date": 1703113308.5125108, "filename": "workspace.md", "kernelspec": { "display_name": "Python", diff --git a/_notebooks/writing_good_code.ipynb b/_notebooks/writing_good_code.ipynb index 4cd53176..d83c15cc 100644 --- a/_notebooks/writing_good_code.ipynb +++ b/_notebooks/writing_good_code.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "158afddc", + "id": "7ddd6409", "metadata": {}, "source": [ "\n", @@ -16,7 +16,7 @@ }, { "cell_type": "markdown", - "id": "5ca426bd", + "id": "d7ed2ab8", "metadata": {}, "source": [ "# Writing Good Code\n", @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "b47186e4", + "id": "8bca285d", "metadata": {}, "source": [ "## Contents\n", @@ -42,7 +42,7 @@ }, { "cell_type": "markdown", - "id": "86b0e295", + "id": "0dc1b502", "metadata": {}, "source": [ "> “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” – Martin Fowler" @@ -50,7 +50,7 @@ }, { "cell_type": "markdown", - "id": "2932dd8a", + "id": "b2749408", "metadata": {}, "source": [ "## Overview\n", @@ -70,7 +70,7 @@ }, { "cell_type": "markdown", - "id": "c86999d0", + "id": "56758477", "metadata": {}, "source": [ "## An Example of Poor Code\n", @@ -107,7 +107,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e5978c4f", + "id": "4a00d1c3", "metadata": { "hide-output": false }, @@ -179,7 +179,7 @@ }, { "cell_type": "markdown", - "id": "25a1ac2f", + "id": "726d13df", "metadata": {}, "source": [ "True, the code more or less follows [PEP8](https://www.python.org/dev/peps/pep-0008/).\n", @@ -191,7 +191,7 @@ }, { "cell_type": "markdown", - "id": "d5eb6f19", + "id": "79209033", "metadata": {}, "source": [ "## Good Coding Practice\n", @@ -211,7 +211,7 @@ }, { "cell_type": "markdown", - "id": "285f643b", + "id": "2d7013af", "metadata": {}, "source": [ "### Don’t Use Magic Numbers\n", @@ -237,7 +237,7 @@ }, { "cell_type": "markdown", - "id": "e81689b5", + "id": "1eb49812", "metadata": {}, "source": [ "### Don’t Repeat Yourself\n", @@ -264,7 +264,7 @@ }, { "cell_type": "markdown", - "id": "8399f0e2", + "id": "c760a25d", "metadata": {}, "source": [ "### Minimize Global Variables\n", @@ -290,7 +290,7 @@ }, { "cell_type": "markdown", - "id": "8a387af1", + "id": "ae97f449", "metadata": {}, "source": [ "#### JIT Compilation\n", @@ -307,7 +307,7 @@ }, { "cell_type": "markdown", - "id": "11868b44", + "id": "b6bf2ad2", "metadata": {}, "source": [ "### Use Functions or Classes\n", @@ -324,7 +324,7 @@ }, { "cell_type": "markdown", - "id": "bac305f1", + "id": "c37b62a2", "metadata": {}, "source": [ "#### Which One, Functions or Classes?\n", @@ -340,7 +340,7 @@ }, { "cell_type": "markdown", - "id": "c0e4cc32", + "id": "aa07f56d", "metadata": {}, "source": [ "## Revisiting the Example\n", @@ -351,7 +351,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d8e20ee0", + "id": "776cf8ae", "metadata": { "hide-output": false }, @@ -392,7 +392,7 @@ }, { "cell_type": "markdown", - "id": "2d6e7889", + "id": "15fdba16", "metadata": {}, "source": [ "If you inspect this code, you will see that\n", @@ -405,7 +405,7 @@ }, { "cell_type": "markdown", - "id": "faf2d8b5", + "id": "8c255e59", "metadata": {}, "source": [ "## Exercises" @@ -413,7 +413,7 @@ }, { "cell_type": "markdown", - "id": "ad948ddd", + "id": "cf2d08bc", "metadata": {}, "source": [ "## Exercise 18.1\n", @@ -462,7 +462,7 @@ { "cell_type": "code", "execution_count": null, - "id": "282b0456", + "id": "b83cee8b", "metadata": { "hide-output": false }, @@ -483,7 +483,7 @@ }, { "cell_type": "markdown", - "id": "dda0a5b8", + "id": "c66416ae", "metadata": {}, "source": [ "Let’s also plot our results." @@ -492,7 +492,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ad1c081e", + "id": "d70b14c7", "metadata": { "hide-output": false }, @@ -518,7 +518,7 @@ }, { "cell_type": "markdown", - "id": "29242ae5", + "id": "89468356", "metadata": {}, "source": [ "We also want to consider supply and demand shifts.\n", @@ -529,7 +529,7 @@ { "cell_type": "code", "execution_count": null, - "id": "807fc852", + "id": "0963cbdd", "metadata": { "hide-output": false }, @@ -549,7 +549,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e1ee2432", + "id": "fdec2d3d", "metadata": { "hide-output": false }, @@ -575,7 +575,7 @@ }, { "cell_type": "markdown", - "id": "d42637a8", + "id": "1e021c65", "metadata": {}, "source": [ "Now we might consider supply shifts, but you already get the idea that there’s\n", @@ -587,7 +587,7 @@ }, { "cell_type": "markdown", - "id": "62a397ed", + "id": "8f26427c", "metadata": {}, "source": [ "## Solution to[ Exercise 18.1](https://python-programming.quantecon.org/#wgc-exercise-1)\n", @@ -598,7 +598,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c24fabdd", + "id": "f0edd6ec", "metadata": { "hide-output": false }, @@ -641,7 +641,7 @@ }, { "cell_type": "markdown", - "id": "6d5a33f4", + "id": "d1f35c7e", "metadata": {}, "source": [ "Let’s create an instance at the default parameter values." @@ -650,7 +650,7 @@ { "cell_type": "code", "execution_count": null, - "id": "da1c4bd5", + "id": "ee5e5c4a", "metadata": { "hide-output": false }, @@ -661,7 +661,7 @@ }, { "cell_type": "markdown", - "id": "3b890ca4", + "id": "39b707cc", "metadata": {}, "source": [ "Now we’ll compute the equilibrium and plot it." @@ -670,7 +670,7 @@ { "cell_type": "code", "execution_count": null, - "id": "de4b5a7a", + "id": "2148945c", "metadata": { "hide-output": false }, @@ -682,7 +682,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5b2ac46c", + "id": "469145ec", "metadata": { "hide-output": false }, @@ -693,7 +693,7 @@ }, { "cell_type": "markdown", - "id": "97828a4e", + "id": "9991e777", "metadata": {}, "source": [ "One of the nice things about our refactored code is that, when we change\n", @@ -703,7 +703,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8869c029", + "id": "2d54cffe", "metadata": { "hide-output": false }, @@ -715,7 +715,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8c84ce0e", + "id": "81482a66", "metadata": { "hide-output": false }, @@ -727,7 +727,7 @@ { "cell_type": "code", "execution_count": null, - "id": "f2fa8fae", + "id": "029e26df", "metadata": { "hide-output": false }, @@ -738,7 +738,7 @@ } ], "metadata": { - "date": 1702956203.272342, + "date": 1703113308.532248, "filename": "writing_good_code.md", "kernelspec": { "display_name": "Python", diff --git a/_pdf/quantecon-python-programming.pdf b/_pdf/quantecon-python-programming.pdf index d54f3e2db2025868a63ae6a0d1db02901242cfea..d8ab1c80069252349114b609ae76bfde7a1b5c8e 100644 GIT binary patch delta 1261580 zcmZ5{2RxPU`@dt)>~WBpk$HHIBb$sUqp0jqdW=pIvXaNj9?3Y4lO0lIoOF=v%yU8# z${taf*(?9k=kxvjU%%h?dA)AOx!1Mc*LC05^?(^{q5c`yO8o={p|rIbef@lHyWC|A z{CeB6&%9lixp9;GPq^IMk;#~-VBLs|<1#+_f)|AymI|aoh40PYwR+j%qj@8xYqAAS 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