# jianghui-galaxy/Interview-Notebook

https://github.com/CyC2018/Interview-Notebook

Repository: https://github.com/jianghui-galaxy/Interview-Notebook
Canonical: https://ross.abutalabs.com/products/interview-notebook
License Family: other
Last push: 2018-04-08T05:59:06+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3069, "days_push": 3069, "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 1770, forks 474 (observed 2026-08-28T04:05:33.938246+00:00)

## What it is
A curated collection of Chinese-language study notes covering computer science fundamentals for technical interviews, including networking, operating systems, algorithms, databases, Java, and distributed systems. It is a fork of the well-known CyC2018/Interview-Notebook repository.

## Use cases
- prepare for backend software engineer interviews
- review computer networking fundamentals before an interview
- study Java interview questions like JVM and concurrency
- practice Leetcode and Jianzhi Offer problems with solutions
- learn operating systems and database concepts for job interviews

## When to choose
- you want free, well-organized interview prep notes in Chinese
- you need a broad CS fundamentals refresher covering networking, OS, databases, and Java

## When to avoid
- you need up-to-date content or active maintenance
- you prefer English-language study materials
- you need interactive coding practice rather than notes

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: documentation
- domain: tutorials, databases, programming-languages
- platform: cross-platform
- tags: interview-preparation, notes, computer-science, java, study-guide, algorithms

## Member repositories
- jianghui-galaxy/Interview-Notebook (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:33.938246+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 2026-08-30T03:26:03.264577+00:00, confidence not recorded.
  - readme: https://github.com/jianghui-galaxy/Interview-Notebook (fetched 2026-08-28T04:05:33.938246+00:00, sha 9e3b5ce0a933)
- Data as of 2026-08-30T08:39:29.467469+00:00.