YET ANOTHER DATASCIENCE COOKIECUTTER TEMPLATE

This is a modern Cookiecutter template that can be used to initiate a Python Data Science project with all the necessary tools for development, testing, and deployment. It supports the following features:

• Poetry for dependency management
• CI/CD with GitHub Actions
• Pre-commit hooks with pre-commit
• Code quality with Black, flake8, isort, mypy, and pylint
• A repository creation in GitHub if agreed by the user using GitHub CLI
• Testing and coverage with pytest
• Compatibility testing for multiple versions of Python with Tox

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Quickstart

On your local machine, install cookiecutter and directly pass the URL to this Github repository to the cookiecutter command:

pip install cookiecutter
cookiecutter https://github.com/fpgmaas/cookiecutter-poetry.git

You are now ready to start development on your project! The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.

Acknowledgements

This project is partially based on:

• Audrey Feldroy's great cookiecutter-pypackage repository
• The cookiecutter-datascience repository
• Florian Maas's cookiecutter-poetry repository