Python for Data Science

This repository contains the code and data for the Python for Data Science course. Each folder contains the theoretical background, the data, and the code for the corresponding topic.

📚 Topics

1. The Pythonic World
2. The Pythonic Way
3. Python for Data Science
4. Code for Humans
5. Final Project

🥂 How to contribute

Note

The project uses Python 3.13

1. Install uv, following the official docs: https://docs.astral.sh/uv/getting-started/installation/

2. Run:

uv sync

3. It is highly recommended to use nbstripout to avoid pushing the output of jupyter notebooks. Install it with:

pre-commit install

🤗 Authors

This class was created by the AI team at xtream, with contributions from:

• Emanuele Fabbiani
• Luca Baggi
• Gabriele Orlandi
• Fabio Lipreri
• Marta Peroni

🔍 Spotted in...

The material in this repository was used in classes and seminars taught at:

• A2A, 2024
• Ospedale di Treviglio, 2024