# arkingc/note

学习笔记整理📚

Repository: https://github.com/arkingc/note
Canonical: https://ross.abutalabs.com/products/note
Language: C++
License Family: other
Last push: 2023-06-07T13:44:53+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3113, "days_push": 1183, "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 2128, forks 614 (observed 2026-08-28T04:06:17.017707+00:00)

## What it is
A curated collection of Chinese-language computer science study notes covering operating systems, computer networking, data structures and algorithms, databases, Linux administration, and C++. The notes summarize classic textbooks such as CSAPP-style networking texts, Effective C++, and STL source analysis.

## Use cases
- review operating system concepts before a technical interview
- study data structures and algorithms with C++ examples
- learn C++ from Effective C++ and STL source notes
- brush up on computer networking fundamentals
- find common Linux commands and git usage notes
- prepare for backend developer job interviews in Chinese

## When to choose
- you want condensed Chinese-language notes on classic CS textbooks
- you are preparing for software engineering interviews covering OS, networking, and algorithms
- you prefer markdown notes organized by topic over video courses

## When to avoid
- you need up-to-date, actively maintained course material
- you require English-language learning resources
- you need interactive exercises or graded assignments rather than reference notes

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: tutorials, education, operating-systems, databases, programming-languages
- platform: cross-platform
- tags: study-notes, computer-science, interview-prep, chinese, cpp, networking, data-structures, algorithms

## Member repositories
- arkingc/note (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:17.017707+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 2026-08-30T02:52:26.822360+00:00, confidence not recorded.
  - readme: https://github.com/arkingc/note (fetched 2026-08-28T04:06:17.017707+00:00, sha 11c8a8126d01)
- Data as of 2026-08-30T08:39:29.467469+00:00.