AI, ML and data systems
We take systems apart, line by line.
Short videos and long builds that open up how machine learning, AI agents and data pipelines really work. Real code, run on screen, with the real output. Every line is free on GitHub.
- 1scan → text
- 2text → fields
- 3fields → SQL + search
Tap a stage to see its code and output.
Three ways in
- 01Model AnatomyOne idea per video, from gradient descent to RAG. The code types itself, the diagram moves with it, and the run is real.
- 02Build LabProjects you can finish in a day or a weekend, file by file.
- 03Quick TipsOne trick, 20 seconds, real output.
Latest dissections
All videos →
The code
Every video ships its code.
The repo is the textbook: one lesson folder per video, sorted by domain, each with a "Run it" section and the exact output you saw on screen.
- machine-learning/
- ai-engineering/
- data-engineering/
- methodologies/
- build-projects/
quick-tip-01/debug.pyPython
rows = [120, 340, 90]
total = sum(rows)
rate = total / 4400
print(total)
print(f"{total=}")
print(f"{len(rows)=} {rate=:.1%}")Output
$ python debug.py 550 total=550 len(rows)=3 rate=12.5%
One = inside the braces prints the name with the value. Needs Python 3.8+.
Notes from the bench
All articles →About datanatomy
We make explainers for people who want to understand AI well enough to build with it. No hype, no magic: each video shows a working system, names its parts, and hands you the code.
- Real code that runs, with the output it really prints.
- Every line explained as it is typed.
- Machine learning, AI engineering and data engineering.