Open source software, including Python and most Python libraries, is developed as a joint effort of thousands of programmers. Programmers like you spend time contributing to documentation, tests, bug fixes, and new features. It's a wonderful opportunity for you to contribute in a guided way to the Python library you use.
Sure. Anyone with some Python knowledge is welcome to participate. PyLadies Amsterdam and Picnic mentors will guide you through.
scikit-learn - machine learning in Python
transformers - state-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX
pandas - flexible and powerful data analysis/manipulation library for Python
numpy - the fundamental package for scientific computing with Python
dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications
FastAPI - high performance, easy to learn, fast to code, ready for production
Bonus Python library
diepvries - The Picnic Data Vault framework
These open source sprints were set up by @pyladiesams