# Weikezi-AI/CNote

「CNote」一份涵盖大部分学习 C 语言所需要掌握的核心知识，致力于打造最易懂的 C语言入门教程，让天下没有难学的 C语言。（包含C语言教程、C语言精华文章）

Repository: https://github.com/Weikezi-AI/CNote
Canonical: https://ross.abutalabs.com/products/cnote
License Family: other
Last push: 2026-08-03T03:55:49+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 35, longevity 100
- inputs: {"age_days": 1860, "days_push": 30, "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 3212, forks 445 (observed 2026-08-28T04:07:49.382678+00:00)

## What it is
CNote is an open-source Chinese-language tutorial collection covering core C language knowledge, from basics like data types and operators to advanced topics like pointers and memory. It includes written notes, a PDF version, and a 170-lesson companion video course aimed at making C easy for beginners.

## Use cases
- learn C programming from scratch
- find an easy-to-understand C language tutorial
- review C language fundamentals like pointers and arrays
- study C with video lessons
- download a C tutorial as a PDF
- prepare for C programming exams or interviews

## When to choose
- you are a complete beginner wanting a gentle, structured C learning path
- you prefer Chinese-language tutorials with video support
- you want free, comprehensive C notes covering basics through advanced topics

## When to avoid
- you need an official or authoritative C language reference
- you want English-language materials
- you need interactive coding exercises rather than reading material

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: programming-languages, education, tutorials
- platform: cross-platform
- tags: c-language, tutorial, beginner-friendly, chinese, video-course, notes

## Member repositories
- Weikezi-AI/CNote (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:49.382678+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 2026-08-30T07:24:42.643544+00:00, confidence not recorded.
  - readme: https://github.com/Weikezi-AI/CNote (fetched 2026-08-28T04:07:49.382678+00:00, sha 4ed00e6b0b19)
- Data as of 2026-08-30T08:39:29.467469+00:00.