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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

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

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  • Makefile 40.2%
  • Python 39.1%
  • Batchfile 20.7%