# xiaolai/the-craft-of-selfteaching

> Li Xiaolai's book on self-teaching, using Python as a practical entry point to learning on your own. Written as Jupyter Notebooks with a Markdown version available.

- Magnitude: 5.8 out of 10 — Breakout
- Stars: 18,832 total · +345 stars measured 2026-10-29, 00:03–16:53 UTC, ≈ 485 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: Jupyter Notebook · Created: 2019-03-14 · Last push: 2026-05-20
- GitHub: https://github.com/xiaolai/the-craft-of-selfteaching · Page: https://gitnova.dev/en/r/xiaolai/the-craft-of-selfteaching

## Useful for

- Study the self-teaching method and apply it to a new skill
- Work through the introductory Python chapters in JupyterLab
- Use the book as a base for your own course or workshop

## Why it’s here

- Star-counter measurements on 2026-10-29 (UTC), 00:03–16:53: 18487 → 18832 stars (+345). This is the change over that interval.
- Estimated end-of-day forecast: about +485 stars, using observed gains and the previous day.
- Over the last two days the pace is 17× that of the previous week and a half.
- Elevated gains were measured on the last 2 completed UTC days in a row. Continued growth is not guaranteed.
- About 55 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 17,933
- Issues and pull requests: 1,261
- Watchers: 717
- Average over the last week: 186 per day
- Usual pace: 26 per day
- Stars in the last hour (measured): 4

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-30 … 2026-10-29: 4, 47, 140, 10, 2, 5, 7, 5, 149, 38, 13, 16, 54, 10, 11, 24, 21, 6, 32, 43, 12, 17, 13, 16, 25, 27, 100, 154, 498, 345

## Magnitude by day, last 2 days

10-28 4.7, 10-29 6.4

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-29 17:07 UTC, updated every 30 minutes.