One page of the Python you use every day: comprehensions, slicing, f-strings, pathlib, and common stdlib patterns.

Joins, window functions, indexes, and EXPLAIN, covering the queries and concepts that come up in real work and interviews.

From daily workflow to fixing mistakes: rebase, cherry-pick, reflog, and the recovery commands that save your branch.

A step-by-step route from Python to production LLM systems, with checkpoints so you always know what to learn next.

APIs, databases, auth, testing, and deployment, showing the sequence that takes you from CRUD apps to production systems.

A batteries-included starter: project layout, SQLAlchemy, Alembic migrations, pytest fixtures, Docker, and CI.

A strict-TypeScript Next.js starter with Tailwind, testing, linting, and sensible defaults for SEO and accessibility.

Martin Kleppmann's classic, and the single best book for understanding how modern data systems actually work.

Luciano Ramalho's deep dive into writing Python the way the language wants to be written.

Every project on this site is open source. Read the code, open issues, and send pull requests.

The whiteboard tool used for every architecture diagram on this site. Free, fast, and collaborative.

A dramatically faster replacement for pip and virtualenv workflows. The tool every Python course here uses.