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Overview

This repository contains a data management and analysis tutorial using Python. The folders contain:

  • data/ - data for an example project
  • docs/ - the actual tutorial docs
  • fastapi/ - example web server providing data

Installation

  1. Download and unpack:

    $ curl -O https://codeload.github.com/cusyio/python4datascience/zip/main
    $ unzip main
    Archive:  main
    
       creating: python4datascience-main/
    
  2. Install Python packages:

    $ cd python4datascience-main
    $ python3 -m venv .venv
    $ . .venv/bin/activate
    $ python -m pip install -e ".[dev]"
  3. Install the Jupyter Notebook Extensions Javascript and CSS files:

    $ jupyter contrib nbextension install --user
    jupyter contrib nbextension install --user
    Installing jupyter_contrib_nbextensions nbextension files to jupyter data directory
    
    Successfully installed jupyter-contrib-core-0.3.3 jupyter-contrib-nbextensions-0.5.1
    jupyter-highlight-selected-word-0.2.0 jupyter-latex-envs-1.4.6
    jupyter-nbextensions-configurator-0.4.1
    
    $ jupyter nbextension enable latex_envs --user --py
    Enabling notebook extension latex_envs/latex_envs...
          - Validating: OK
  4. Create HTML documentation:

    Note that pandoc has to be installed. On Debian/Ubuntu you can just run

    $  sudo apt-get install pandoc

    To create the HTML documentation run these commands:

    $ cd docs $ make html

  5. Create a PDF:

    For the creation of a PDF file you need additional packages.

    For Debian/Ubuntu you get them with the following command:

    $ sudo apt install texlive-latex-recommended texlive-latex-extra texlive-fonts-recommended latexmk

    or for macOS with:

    $ brew cask install mactex
    
    🍺  mactex was successfully installed!
    $ curl --remote-name https://www.tug.org/fonts/getnonfreefonts/install-getnonfreefonts
    $ sudo texlua install-getnonfreefonts
    
    mktexlsr: Updating /usr/local/texlive/2020/texmf-dist/ls-R...
    mktexlsr: Done.

    Then you can generate a PDF with:

    $ make latexpdf
    
    The LaTeX files are in _build/latex.
    Run 'make' in that directory to run these through (pdf)latex
    

    You can find the PDF at docs/_build/latex/jupytertutorial.pdf.

  6. Install and run ale to check spelling

    You can install Vale with:

    $ brew install vale

    You can install the parser for reStructuredText with:

    $ brew install docutils
    .. seealso::
       * `Vale installation <https://docs.errata.ai/vale/install>`_
       * `Vale formats <https://docs.errata.ai/vale/scoping#formats>`_
    
    

    Now you can check the reStructuredText files with:

    $ vale .
    ✔ 0 errors, 0 warnings and 0 suggestions in 201 files.

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Pull-Requests

If you have suggestions for improvements and additions, I recommend that you create a Fork of my GitHub Repository and make your changes there. You are also welcome to make a pull request. If the changes contained therein are small and atomic, I’ll be happy to look at your suggestions.

The following guidelines help us to maintain the German translation of the tutorial:

  • Write commit messages in English
  • Start commit messages with a Gitmoji
  • Stick to English names of files and folders.