All our content, organized by the Four Competencies of a Data Professional.
Find interesting data with rules, distance and machine learning based anomaly detection.
Attention and Multi-Head Attention in NumPy.
Why this new feature is a game changer for developers.
Thirteen data science tools setting the standard in 2025.
Find your next role as a a data professional by focusing on the correct data role and using stories to demonstrate your compentence.
Learn how to use a shell, write shell scripts, and configure your shell environment.
Automation techniques for testing & deploying infrastructure driven by changes to code.
How to setup custom keyboard shortcuts for Jupyter Lab.
Make your data science projects presentable, reproducible, accessible and extensible.
A guide to the next generation of notebook tooling.
How Git enables version control and code collaboration.
Five patterns to guide your Git workflows.
Ten Python tools setting the standard in 2023.
Twelve Python tools setting the standard in 2025.
Seventeen terminal, shell and command-line tools setting the standard in 2023.
Make your data science workflows better with this classic UNIX tool.
The default programming language for working with data.
