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UCSB Data Science Capstone Projects 2022

This Jupyter book contains work from UCSB's Data Science Capstone Project Class sequence: https://ucsb-ds-capstone-2022.github.io/

Jupyter Book with Github Pages

https://jupyterbook.org/publish/gh-pages.html

Building locally for development

If you'd like to develop on and build the UCSB Data Science Capstone Projects 2022 book, you need to setup your environment:

  • Install Anaconda
  • Create a virtual environment. Let's call it jb:
    conda create -n jb python=3.8
    conda activate jb
  • Clone and build Capstone 2022 Jupyter book repository:
    git clone https://github.com/ucsb-ds-capstone-2022/ucsb-ds-capstone-2022.github.io.git
    pip install -r ucsb-ds-capstone-2022.github.io/requirements.txt	## install python dependencies
    conda activate jb                   				## makes newly installed packages available
    cd ucsb-ds-capstone-2022.github.io/ucsb_ds_capstone_projects_2022
    jupyter-book build .
  • Rendered HTML version of the book will be in ./ucsb_ds_capstone_projects_2022/_build/html/.
  • Start local webserver using Python:
    cd _build/html
    python -m http.server
  • (Optional) Issuing build command and reloading browser can be automated. Using live.js and some command line codes below can improve your experience.
    # cd ucsb-ds-capstone-2022.github.io/ucsb_ds_capstone_projects_2022
    mkdir -p _static && \
        wget -nc -O _static/live.js https://livejs.com/live.js
    jb build . && \
        python -m http.server --directory _build/html 2>/dev/null &
    while inotifywait -re modify --exclude='_build' .
    do 
        jb build .
    done

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