A reproducible data science template using a bunch of snakes 🐍, i.e., Python, snakemake, mamba, and more.

This cookiecutter is based on cookiecutter-data-science, with the following main differences:

• snakemake to orchestrate the data analysis workflow instead of GNU Make (recommended in cookiecutter-data-science). The advantages of snakemake are its more Pythonic syntax as well as the availability of a dedicated code formatter, i.e., snakefmt (see pre-commit item below).
• pre-commit to manage multi-language pre-commit hooks, including: black, isort and flake8 to format and lint Python files (.py), nbstripout and nbQA to format and lint Jupyter Notebooks (.ipynb); snakefmt to format Snakefiles and more.
• mamba as a package manager, which provides a CLI that is almost identical to conda but (much) faster.

• Python 3.7+
• cookiecutter, which can be installed with pip, conda or mamba (see the official installation instructions).
• mamba, which can be installed using conda or mambaforge (see the official installation instructions)

$ cookiecutter https://github.com/martibosch/cookiecutter-data-snake

• Project based on Henk Griffioen's version of the cookiecutter data science project template. #cookiecutterdatascience