clementcome-toolkit 0.6.0

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 uv sync

Development

This project uses mainly uv, 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.

uv sync

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:

uv sync --all-groups

Perform ruff checks with

uv run ruff check

Perform ruff formatting with

uv run ruff format

Execute tests with pytest

uv run pytest