# zhedahht/ChineseCodingInterviewAppendix

The source code for the appendix part of the Chinese version of the book Coding Interviews

Repository: https://github.com/zhedahht/ChineseCodingInterviewAppendix
Canonical: https://ross.abutalabs.com/products/chinesecodinginterviewappendix
Language: C++
License Family: other
Last push: 2016-09-12T04:18:03+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4492, "days_push": 3642, "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 1448, forks 611 (observed 2026-08-28T04:04:45.556286+00:00)

## What it is
Source code for the appendix of the Chinese edition of the book 'Coding Interviews', written in C++. It provides reference implementations of algorithm and data structure problems used in the book.

## Use cases
- prepare for coding interviews
- study algorithm and data structure solutions in C++
- find reference implementations for interview questions
- learn from the Coding Interviews book examples
- practice classic interview coding problems

## When to choose
- you are reading the Chinese edition of Coding Interviews and want its companion code
- you want C++ solutions to classic interview questions

## When to avoid
- you need a maintained library or production-ready code
- you want interview prep in another language or a modern test framework
- you need an actively updated resource

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages
- platform: cpp, cross-platform
- tags: coding-interviews, interview-preparation, book-source-code, algorithms, data-structures, chinese

## Member repositories
- zhedahht/ChineseCodingInterviewAppendix (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:45.556286+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 2026-08-30T04:36:05.152816+00:00, confidence not recorded.
  - readme: https://github.com/zhedahht/ChineseCodingInterviewAppendix (fetched 2026-08-28T04:04:45.556286+00:00, sha 8a23b137d730)
- Data as of 2026-08-30T08:39:29.467469+00:00.