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Richard's Cookiecutter Data Science project

This project's goals are:

  • ✅ Newest packaging guidelines
  • ✅ Publishing PyPI package
  • ✅ Linting

Quickstart

TODO check these commands lol

pipx install cookiecutter # OR
uvx install cookiecutter # OR
# Just have installed cookiecutter

cookiecutter https://github.com/richard-hajek/cookiecutter-richards-datascience 

Notes

This template is aimed at data science projects, ie minimal support for tests, minimal support for typing, highest support for uv, pypi, semi-complex data pipelines.

This project (by itself) does not support

  • dev contains
  • Docker deployment

Note that it would not be difficult to support these. It just. Isn't nececssary.

This project is opinionated

  • Uses uv
  • Uses ruff

However usage of uv and ruff is not rooted in affection towards Astral and I will jump ship the second Astral does any bullshit.

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A cookie cutter template for data science projects

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