This is a repo with links to everything you'd ever want to learn about data engineering

Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.

Learn ML engineering for free in 4 months!

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

Recipes for using Python's polars library

My small cheatsheets for data science, ML, computer science and more.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

PyGWalker: Turn your dataframe into an interactive UI for visual analysis

Learning paths for data roles

100+ Python challenging programming exercises

All Algorithms implemented in Python

Curated list of project-based tutorials

Useful functions, tutorials, and other Python-related things

A collection of experimentation papers/books/articles that I found useful 😄

This repo contain Jupyter notebook describing the process of data analysis of various data samples.

Official Repo for the Efficient Python for Data Scientists Book. You can buy the book from here:

Notes from the book Python Tricks by Dan Bader

Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.

Kaggle courses and tutorials to get you started in the Data Science world.

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖

An opinionated list of awesome Python frameworks, libraries, software and resources.