cookiecuter - Data Analysis project

This is a Cookiecutter template for creating a data analysis project

Project Features

• Python 3.9
• Git integration
• Python preset functions

Requirements

• Anaconda >= 4.x
• git >= 2.x
• Cookiecutter Python package >= 1.4.0:

You could install cookiecutter depending on how you manage your Python packages (pip or conda), follow the code below:

• pip:

pip install cookiecutter

• conda:

conda install -c conda-forge cookiecutter

Directories Distribution

├── README.md
├── cookiecutter.json
├── environment.yml
├── .gitignore
├── hooks
│   ├── pre_gen_project.py
│   └── post_gen_project.py
└── {{ cookiecutter.project_slug }}
    ├── LICENCE
    ├── README.md
    ├── environment.yml
    ├── .gitignore
    ├── data
    │   ├── .gitkeep
    ├── notebooks
    │   └── .gitkeep

Usage

In the directory that you create for the project, execute in terminal:

cookiecutter https://github.com/Pipe-Vash/cookiecutter-personal

Credits

This project was made it in base of:

• Platzi Configuración Profesional de Entorno de Trabajo para Ciencia de Datos course by Jesús Vélez Santiago
• Cookiecutter Data Science repository by Driven Data