Skip to content

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

License

Notifications You must be signed in to change notification settings

nomr/cookiecutter-data-science

 
 

Repository files navigation

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

About

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

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 50.9%
  • Makefile 49.1%