Pythia Foundations contributor’s guide¶
This content is under construction!
General information on how to contribute to any Project Pythia repository may be found here.
A full contributor’s guide will appear here, cross-referencing our tutorials on open Pull Requests on GitHub.
A simple way to comment on anything you find in this book is to use the “open issue” and “suggest edit” buttons under the GitHub Octocat logo at the top of each page. These links will take you to GitHub where the source material for the book is hosted. You’ll need a free (and broadly useful) GitHub account. See the main Project Pythia Contributor’s Guide.
You may also quickly provide feedback via this Google form.
Contributing a new Jupyter Notebook¶
If you’d like to contribute a Jupyter Notebook to these materials, please reference our template viewable on the next page. This template is available to you in
appendix/template.ipynb if you’ve cloned the source repository, or available as a download directly from GitHub.
Building the site¶
Create a conda environment¶
The first time you check out this repository, run:
conda env update -f environment.yml
This will create or update the dev environment (
This repository includes
pre-commit hooks (defined in
.pre-commit-config.yaml). To activate/install these pre-commit hooks, run:
conda activate pythia-book-dev pre-commit install
This is also a one-time step.
pre-commit package is already installed via the
pythia-book-dev conda environment.
Building the book locally¶
To build the book locally, run the following:
conda activate pythia-book-dev jupyter-book build .
Finally, you can view the book by opening the file
_build/html/index.html with your favorite web browser. On most platforms you can simply run:
Keeping your dev environment up to date¶
It’s good practice to update the packages in your
pythia-book-dev conda environment frequently to their latest versions, especially if it’s been a while since you used it. If the
jupyter-book build . command above generates error messages, that is a good indication that your conda environment may be out of date.
To update all packages in the currently activated environment to their latest versions, do this:
conda update --all