This cookiecutter ds-template is a customized modification of py-pkgs-cookiecutter for data science projects, mainly adding the following features:

• Development Container with pre-configured tools:Conda, Poetry and Git
• Makefile with commands for installation, testing, qa, etc.
• Complete pre-commit yaml for code formatting and qa

py-pkgs-cookiecutter is a cookiecutter template for creating a fully-featured Python package using poetry. It supplements the Python Packages book by Tomas Beuzen and Tiffany Timbers but can be used independently.

Please refer to the documentation for more detail on using py-pkgs-cookiecutter. We provide the fundamental steps below:

1. Install cookiecutter:

   pip install cookiecutter

2. Generate a Python package structure using cookiecutter-ds-generic:

   cookiecutter https://github.com/Yago-145/ds_template.git

3. After responding to the prompts you should have a directory structure similar to that shown below. To learn more about the contents of this directory structure, please refer to the reference py-pkgs-cookiecutter documentation.

├── CHANGELOG.md
├── CONDUCT.md
├── CONTRIBUTING.md
├── .devcontainer
│   ├── devcontainer.json
│   └── Dockerfile
├── Dockerfile
├── docs
│   ├── changelog.md
│   ├── conduct.md
│   ├── conf.py
│   ├── contributing.md
│   ├── index.md
│   ├── make.bat
│   ├── Makefile
│   ├── requirements.txt
│   └── usage.ipynb
├── .gitignore
├── LICENSE
├── Makefile
├── notebooks_dev
│   └── pkg_dev.ipynb
├── .pre-commit-config.yaml
├── pyproject.toml
├── README.md
├── .readthedocs.yml
├── src
│   └── my_pkg
│       ├── __init__.py
│       ├── logger.py
│       └── pkg.py
├── styleguide.md
└── tests
    ├── conftest.py
    ├── __pycache__
    └── test_pkg.py

4. Open the README.md created in the new structure and refer to the Installation in Dev / Editor modeMode Section

The original py-pkgs-cookiecutter was created by Tomas Beuzen and Tiffany Timbers. It is licensed under the terms of the BSD license. This modified version of py-pkgs-cookiecutter was created by Angel Martinez-Tenor.

Original py-pkgs-cookiecutter: https://github.com/py-pkgs/py-pkgs-cookiecutter

py-pkgs-cookiecutter was originally developed for use in the University of British Columbia's (UBC) Master of Data Science_ program (MDS). It was inspired by the pyOpenSci cookiecutter template.