alexrods/cookiecutter-datascience-basic

Template for Data Science projects

Cookiecutter Data Science Basic

Template for Data Science projects structure

Requirements

• Conda

• Cookiecutter Python package

    pip install cookiecutter
  

or

conda install -c conda-forge cookiecutter

Create a new project

In a folder where you want your project generated:

cookiecutter https://github.com/alexrods/Cookiecutter-DataScience-Basic.git

Resulting directory structure

{{ cookiecutter.project_slug }}/
├── LICENSE
├── README.md       <- The top-level README for developers using this project.
├── data
│   ├── processed   <- The final, canonical data sets for modeling.
│   └── raw         <- The original, immutable data dump.
├── enviroment.yml  <- The requirements file for reproducing the analysis environment.
├── models          <- Trained and serialized models, model predictions, or model summaries.
│
└── notebooks       <- Jupyter notebooks. Naming convention is a number (for ordering),
                    the creator's initials, and a short `-` delimited description, e.g.
                    `1.0-jqp-initial-data-exploration`.

Credits

This project was created following a class to jvelezmagic and his repository cookiecutter conda data science.