jah 1.1.0

Autohinter for data science assignments

JAH (Jeff's AutoHinter)

For data science and public policy courses at Georgetown.

Publishing to PyPI

There are a few steps where, if one is skipped, the project won't update on PyPI!

1. Increment the version number (can use semantic versioning etc.) in pyproject.toml
2. Run python3 -m build, which will create new tar.gz files in the dist directory corresponding to the new version number
3. Run add-dots.sh, which just handles the annoying-ness of JupyterHub's interface not allowing me to see dotfiles
4. Push to github like usual

Testing the PyPI Version

1. Create a new virtual environment with e.g. python3 -m venv .venv
2. Activate that environment with source .venv/bin/activate
3. Install jah into the virtual environment with python3 -m pip install jah
4. Start a Python REPL shell with python
5. Try importing and using jah
6. Use quit() to exit the Python REPL shell
7. Uninstall with python3 -m pip uninstall jah
8. Deactivate the virtual environment by just typing deactivate