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A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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Cookiecutter Data Science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Requirements to use the cookiecutter template:


  • Python 2.7 or 3.5
  • Cookiecutter Python package >= 1.4.0: This can be installed with pip by or conda depending on how you manage your Python packages:
$ pip install cookiecutter

or

$ conda config --add channels conda-forge
$ conda install cookiecutter

To start a new project, run:


cookiecutter https://github.com/drivendata/cookiecutter-data-science

asciicast

Contributing

We welcome contributions! See the docs for guidelines.

Installing development requirements


pip install -r requirements.txt

Running the tests


py.test tests

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A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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  • Python 43.7%
  • Makefile 37.9%
  • Batchfile 18.4%