# selfteaching/the-craft-of-selfteaching

One has no future if one couldn't teach themself.

Repository: https://github.com/selfteaching/the-craft-of-selfteaching
Canonical: https://ross.abutalabs.com/products/the-craft-of-selfteaching
Language: Jupyter Notebook
License Family: other
Last push: 2026-05-20T23:38:19+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 83, release rhythm 35, longevity 100
- inputs: {"age_days": 2729, "days_push": 105, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 16701, forks 17612 (observed 2026-08-28T04:11:17.003678+00:00)

## What it is
An open-source book by Li Xiaolai titled 'The Craft of Selfteaching' that teaches Python programming as an entry point for developing self-learning skills. It is written as a collection of Jupyter Notebooks (with a Markdown version) in Chinese.

## Use cases
- learn python from scratch
- teach myself programming
- learn to code in jupyter notebooks
- self-study book for beginners
- learn programming in chinese
- develop self-learning skills through coding

## When to choose
- you want a free, notebook-based introduction to Python
- you read Chinese and want a beginner-friendly self-teaching guide
- you want to learn programming alongside learning how to learn

## When to avoid
- you need a structured course with graded exercises or certification
- you need English-language material
- you need a reference manual rather than a guided book

## Facets
- artifact type: learning-resource
- maturity: stable
- function: developer-tools
- domain: education, programming-languages, tutorials
- platform: python, cross-platform
- tags: book, self-learning, jupyter-notebook, python-tutorial, chinese

## Member repositories
- selfteaching/the-craft-of-selfteaching (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:17.003678+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:04:47.640054+00:00, confidence not recorded.
  - readme: https://github.com/selfteaching/the-craft-of-selfteaching (fetched 2026-08-28T04:11:17.003678+00:00, sha bf1fcb031531)
- Data as of 2026-08-30T08:39:29.467469+00:00.
