Learn
Four paths, 41 free articles. Start anywhere — each path runs from first steps to internals.
Python for people who want to build something, not memorise syntax. Setup, the patterns that actually recur, working with data, and the errors you will hit in your first month.
From your first scikit-learn model to writing a transformer by hand. The fundamentals, the internals, and the evaluation mistakes that make good numbers meaningless.
Real-time vision on an ordinary webcam. Detection and tracking with OpenCV and MediaPipe, then projects that turn landmarks into something you can actually control.
Working with LLMs as a systems problem: getting reliable output, retrieving the right context, giving models tools, and knowing whether any of it actually works.
Newsletter
Free essays on learning, Python, and ML — no account required. We’ll only email when there’s something worth reading.