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A easy, reliable, fluid template for python packages complete with docs, testing suites, readme's, github workflows, linting and much much more

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Python Package Template

A easy, reliable, fluid template for python packages complete with docs, testing suites, readme's, github workflows, linting and much much more

Installation

You can install the package using pip

pip install -e .

Usage

print("hello world")

Code Quality 🧹

This project uses poetry, venv and pre-commit hooks.

Once on project set up run:

python -m venv /path/to/new/virtual/environment

where /path/to/new/virtual/environment is the path to the new virtual environment you want to create. I suggest /project/.venv as a good idea.

Then activate the virtual environment by running:

source .venv/bin/activate

When you are done working in this venv you can deactivate it by running:

source deactivate

We provide two handy commands inside the Makefile, namely:

  • make style to format the code
  • make check_code_quality to check code quality (PEP8 basically)
  • black .
  • ruff . --fix

Tests 🧪

pytests is used to run our tests.

Publish on PyPi 🚀

Important: Before publishing, edit __version__ in src/init to match the wanted new version.

poetry build
poetry publish

CI/CD 🤖

We use GitHub actions to automatically run tests and check code quality when a new PR is done on main.

On any pull request, we will check the code quality and tests.

When a new release is created, we will try to push the new code to PyPi. We use twine to make our life easier.

The correct steps to create a new realease are the following:

  • edit __version__ in src/init to match the wanted new version.
  • create a new tag with the release name, e.g. git tag v0.0.1 && git push origin v0.0.1 or from the GitHub UI.
  • create a new release from GitHub UI

The CI will run when you create the new release.

Docs

We use MK docs. This repo comes with the zeta docs. All the docs configurations are already here along with the readthedocs configs.

License

MIT

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A easy, reliable, fluid template for python packages complete with docs, testing suites, readme's, github workflows, linting and much much more

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  • Dockerfile 18.8%
  • Python 3.1%