clementcome-toolkit 0.5.0

My data science toolkit.

toolkit

My data science tool kit

Documentation

Documentation will be available at https://clementcome-toolkit.readthedocs.io/en/latest/.

Installation

pip install clementcome-toolkit

Locally work with the toolkit

If you want to work locally with the toolkit, you can clone the repository and execute pip install --editable .

Development

This project uses mainly poetry, pytest and ruff for development.

If you cloned this project and want to start developing, you can install the package locally within a virtual environment.

poetry install

by default, it will create a virtual environment if you have no virtual environment activate. My current setup is to first create a virtual environment (pyenv is my preferred choice but feel free) and then install the package locally.

For development you can add dependency groups specified in pyproject.toml especially the following ones:

poetry install --with dev,lint,test

Perform ruff checks with

ruff check

Perform ruff formatting with

ruff format

Execute tests with pytest

pytest