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mkdocs.yml
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site_name: dan_friedman_learnings
site_description: Dan Friedman tutorials and articles on programming & data
site_url: https://dfrieds.com
site_author: Dan Friedman
copyright: Copyright © 2023 Dan Friedman
repo_url: https://github.com/frieds/frieds.github.io
use_directory_urls: false
theme:
name: material
custom_dir: overrides
icon:
logo: bicycle
features:
- navigation.instant
- navigation.tracking
- content.code.copy
palette:
- scheme: default
primary: teal
accent: deep orange
toggle:
icon: material/weather-night
name: Switch to dark mode
# Palette toggle for dark mode
- scheme: slate
primary: teal
accent: deep orange
toggle:
icon: material/weather-sunny
name: Switch to light mode
plugins:
- mkdocs-jupyter:
execute: false
allow_errors: true
execute_ignore:
- "python/intro-multithreading-and-multiprocessing.ipynb"
- redirects:
redirect_maps:
'articles/data-science-reality-vs-expectations.md': 'article/data-science-as-a-career-path.md'
'articles/recipe-great-data-science-work.md': 'article/scientific-method-driven-product-development.md'
'python/cl-minesweeper.md': 'https://github.com/frieds/minesweeper'
nav:
- about-me-and-the-site: index.md
- data-visualizations:
- matplotlib_plotting:
- style-plots-python-matplotlib: data-visualizations/style-plots-python-matplotlib.ipynb
- style-line-plots-python-matplotlib: data-visualizations/style-line-plots-python-matplotlib.ipynb
- line-plots-python-matplotlib: data-visualizations/line-plots-python-matplotlib.ipynb
- customize-scatter-plot-styles-python-matplotlib: data-visualizations/customize-scatter-plot-styles-python-matplotlib.ipynb
- scatter-plots-python-matplotlib: data-visualizations/scatter-plots-python-matplotlib.ipynb
- pandas_plot:
- line-plot-python-pandas: data-visualizations/line-plot-python-pandas.ipynb
- histogram-plot-python-pandas: data-visualizations/histogram-plot-python-pandas.ipynb
- bar-plot-python-pandas: data-visualizations/bar-plot-python-pandas.ipynb
- best_practices:
- how-format-large-tick-values: data-visualizations/how-format-large-tick-values.ipynb
- when-use-vertical-grouped-barplots: data-visualizations/when-use-vertical-grouped-barplots.ipynb
- when-use-box-plots: data-visualizations/when-use-box-plots.ipynb
- when-use-scatter-plot: data-visualizations/when-use-scatter-plot.ipynb
- when-use-histogram: data-visualizations/when-use-histogram.ipynb
- when-use-log-scale: data-visualizations/when-use-log-scale.ipynb
- when-use-heatmaps: data-visualizations/when-use-heatmaps.ipynb
- when-use-cumulative-frequency-graph: data-visualizations/when-use-cumulative-frequency-graph.ipynb
- when-use-pie-chart: data-visualizations/when-use-pie-chart.ipynb
- when-use-vertical-bar-chart: data-visualizations/when-use-vertical-bar-chart.ipynb
- visualize-historical-time-comparisons: data-visualizations/visualize-historical-time-comparisons.ipynb
- when-use-vertical-stacked-bar-charts: data-visualizations/when-use-vertical-stacked-bar-charts.ipynb
- when-use-categorical-scatterplots: data-visualizations/when-use-categorical-scatterplots.ipynb
- when-use-line-plots: data-visualizations/when-use-line-plots.ipynb
- when-use-horizontal-bar-charts: data-visualizations/when-use-horizontal-bar-charts.ipynb
- python:
- intermediate_concepts:
- list-comprehensions: python/list-comprehensions.ipynb
- intro-to-apis: python/intro-to-apis.ipynb
- intro-multithreading-and-multiprocessing: python/intro-multithreading-and-multiprocessing.ipynb
- design-classes: python/design-classes.ipynb
- beginner_concepts:
- string-formatting: python/string-formatting.ipynb
- incremental-development: python/incremental-development.ipynb
- string-methods: python/string-methods.ipynb
- list-methods: python/list-methods.ipynb
- math-operations: python/math-operations.ipynb
- conditional-logic-if-statements: python/conditional-logic-if-statements.ipynb
- lists: python/lists.ipynb
- tuples: python/tuples.ipynb
- enumerate-function: python/enumerate-function.ipynb
- iterate-using-for-and-while-loops: python/iterate-using-for-and-while-loops.ipynb
- functions-generalization: python/functions-generalization.ipynb
- functions: python/functions.ipynb
- docstrings-functions: python/docstrings-functions.ipynb
- types-and-values: python/types-and-values.ipynb
- fundamental-programming-terms: python/fundamental-programming-terms.ipynb
- count-occurences-each-unique-element-in-list: python/count-occurences-each-unique-element-in-list.ipynb
- dictionaries: python/dictionaries.ipynb
- dictionary-methods: python/dictionary-methods.ipynb
- guessing-game-with-keyboard-input: python/guessing-game-with-keyboard-input.ipynb
- strings: python/strings.ipynb
- zip-function: python/zip-function.ipynb
- read-in-csv-files: python/read-in-csv-files.ipynb
- validate-function-arguments: python/validate-function-arguments.ipynb
- beginner_algorithms:
- unique-number-of-occurences-python: python/unique-number-of-occurences-python.ipynb
- find-words-formed-by-characters: python/find-words-formed-by-characters.ipynb
- how-many-numbers-smaller-than-current-number: python/how-many-numbers-smaller-than-current-number.ipynb
- rank-transform-array: python/rank-transform-array.ipynb
- check-if-double-exists: python/check-if-double-exists.ipynb
- two-sums-python: python/two-sums-python.ipynb
- longest-common-prefix-python: python/longest-common-prefix-python.ipynb
- partition-array-three-equal-sums: python/partition-array-three-equal-sums.ipynb
- subtract-product-sum-of-digits: python/subtract-product-sum-of-digits.ipynb
- number-steps-reduce-number-to-zero: python/number-steps-reduce-number-to-zero.ipynb
- height-checker: python/height-checker.ipynb
- valid-parentheses-python: python/valid-parentheses-python.ipynb
- find-numbers-disappeared-in-array: python/find-numbers-disappeared-in-array.ipynb
- largest-substring-python: python/largest-substring-python.ipynb
- create-target-array-given-order: python/create-target-array-given-order.ipynb
- minimum-absolute-difference: python/minimum-absolute-difference.ipynb
- jewels-and-stones-python: python/jewels-and-stones-python.ipynb
- sorted-squares: python/sorted-squares.ipynb
- intersection-two-arrays: python/intersection-two-arrays.ipynb
- intermediate_algorithms:
- two-sums2: python/two-sums2.ipynb
- advanced_algorithms:
- median-two-sorted-arrays-python: python/median-two-sorted-arrays-python.ipynb
- math:
- miscellaneous:
- intro-math-symbols: math/intro-math-symbols.ipynb
- inferential_statistics:
- z-tests: math/z-tests.ipynb
- independent-samples-t-test: math/independent-samples-t-test.ipynb
- correlation-does-not-imply-causation: math/correlation-does-not-imply-causation.ipynb
- errors-hypothesis-testing: math/errors-hypothesis-testing.ipynb
- dependent-samples-t-test: math/dependent-samples-t-test.ipynb
- intro-t-test-terms-and-one-sample-test: math/intro-t-test-terms-and-one-sample-test.ipynb
- confidence-intervals: math/confidence-intervals.ipynb
- effect-size: math/effect-size.ipynb
- descriptive_statistics:
- skewness: math/skewness.ipynb
- pearsons-correlation-coefficient: math/pearsons-correlation-coefficient.ipynb
- outliers: math/outliers.ipynb
- central-limit-theorem: math/central-limit-theorem.ipynb
- z-scores: math/z-scores.ipynb
- bessels-correction: math/bessels-correction.ipynb
- mean-median-mode: math/mean-median-mode.ipynb
- standard-deviation: math/standard-deviation.ipynb
- correlation: math/correlation.ipynb
- spearmans-correlation: math/spearmans-correlation.ipynb
- distributions:
- normal-distribution: math/normal-distribution.ipynb
- exponential-distribution: math/exponential-distribution.ipynb
- probability-plot: math/probability-plot.ipynb
- teaching:
- 2018-summer-msis-2629-syllabus: teaching/2018-summer-msis-2629-syllabus.ipynb
- data-analysis:
- data_wrangling:
- bin-values-python-pandas: data-analysis/bin-values-python-pandas.ipynb
- create-new-column-python-pandas: data-analysis/create-new-column-python-pandas.ipynb
- groupby-python-pandas: data-analysis/groupby-python-pandas.ipynb
- categorical-data-python-pandas: data-analysis/categorical-data-python-pandas.ipynb
- pivot-python-pandas: data-analysis/pivot-python-pandas.ipynb
- value-counts-python-pandas: data-analysis/value-counts-python-pandas.ipynb
- rank-method-python-pandas: data-analysis/rank-method-python-pandas.ipynb
- pivot-table-python-pandas: data-analysis/pivot-table-python-pandas.ipynb
- create-year-month-column: data-analysis/create-year-month-column.ipynb
- self-join-python-pandas: data-analysis/self-join-python-pandas.ipynb
- query-python-pandas: data-analysis/query-python-pandas.ipynb
- melt-unpivot-python-pandas: data-analysis/melt-unpivot-python-pandas.ipynb
- crosstabs-python-pandas: data-analysis/crosstabs-python-pandas.ipynb
- shift-method-python-pandas: data-analysis/shift-method-python-pandas.ipynb
- business_metrics:
- popular-summary-business-metrics: data-analysis/popular-summary-business-metrics.ipynb
- article:
- data-science-as-a-career-path: article/data-science-as-a-career-path.md
- scientific-method-driven-product-development: article/scientific-method-driven-product-development.md
- machine-learning:
- classification:
- visual-introduction-classification-logistic-regression-python: machine-learning/visual-introduction-classification-logistic-regression-python.ipynb
- clustering:
- k-means-from-scratch-python: machine-learning/k-means-from-scratch-python.ipynb
- segmentation-vs-clustering: machine-learning/segmentation-vs-clustering.ipynb