Cookiecutter Data Science

My personal simplified version of Cookiecutter Data Science.

Key differences:

• Reduced total files generated
• Option to initialize git repo

Requirements

cookiecutters is a python command-line utility that creates projects from templates.

pip install cookiecutter

Run

In terminal simply run the following command and enter the user prompts. I recommend creating an alias of the command for future use.

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

Result

The above command will create the following directory structure.

.
.
├── .git
├── .gitattributes
├── .gitignore
├── R
├── README.md
├── data
│   ├── processed
│   └── raw
├── docs
├── environment.yml
├── notebooks
│   ├── .ipynb_checkpoints
│   └── Untitled.ipynb
├── reports
└── src
    └── __init__.py