# chengxumiaodaren/cpp-learning

Repository: https://github.com/chengxumiaodaren/cpp-learning
Canonical: https://ross.abutalabs.com/products/cpp-learning
Language: C++
License Family: other
Last push: 2026-06-12T14:15:04+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 87, release rhythm 35, longevity 100
- inputs: {"age_days": 1979, "days_push": 82, "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 2938, forks 449 (observed 2026-08-28T04:07:30.965206+00:00)

## What it is
A curated Chinese-language C++ learning resource collection with links to tutorials, articles, and interview preparation materials. It organizes content by skill level from beginner basics through C++11/14/17 features and job-oriented learning paths.

## Use cases
- learn c++ from scratch
- prepare for c++ interview
- find c++ learning roadmap
- understand c++11 move semantics and smart pointers
- decide whether to learn c++ as a career
- find c++ project ideas for practice

## When to choose
- you want a curated index of C++ tutorials and articles in Chinese
- you are preparing for C++ job interviews
- you need a structured learning path from beginner to advanced

## When to avoid
- you need runnable code or a library to include in your project
- you prefer English-language learning materials
- you want an interactive course rather than a link collection

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: tutorials, programming-languages, education
- platform: cross-platform
- tags: cpp, learning, interview-preparation, curated-links, awesome-list

## Member repositories
- chengxumiaodaren/cpp-learning (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:30.965206+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 2026-08-30T07:33:05.566803+00:00, confidence not recorded.
  - readme: https://github.com/chengxumiaodaren/cpp-learning (fetched 2026-08-28T04:07:30.965206+00:00, sha ae37aad70bb8)
- Data as of 2026-08-30T08:39:29.467469+00:00.