# wolverinn/Waking-Up

计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试；可用于模拟面试、面试前复习、短期内快速备战面试...

Repository: https://github.com/wolverinn/Waking-Up
Canonical: https://ross.abutalabs.com/products/waking-up
License: GPL-3.0
License Family: copyleft
Topics: interview, computer-science, computer-network, operating-system, database, git, python, interview-questions
Last push: 2024-10-29T10:23:02+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": 2470, "days_push": 673, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10285, forks 1824 (observed 2026-08-28T04:10:41.490482+00:00)

## What it is
A curated study notebook of computer science fundamentals interview questions (computer networks, operating systems, databases, design patterns, Git, Python) written in a question + follow-up + answer format. It is aimed at backend developer candidates preparing for tech company interviews, usable for mock interviews and quick pre-interview review.

## Use cases
- prepare for backend developer interviews
- review computer networking interview questions
- study operating system interview questions with follow-ups
- quickly brush up on database fundamentals before an interview
- practice mock interview questions on CS fundamentals
- learn Git and Python interview questions

## When to choose
- you need a fast, question-driven review of CS fundamentals before interviews
- you want realistic follow-up questions that interviewers commonly ask
- you are a backend developer candidate targeting large tech companies

## When to avoid
- you need systematic tutorials rather than Q&A format notes
- you are looking for data structures and algorithms practice (covered by the author's separate repo)
- you need in-depth textbook-level explanations of each topic

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: tutorials, education, developer-tools
- platform: cross-platform
- tags: interview-preparation, computer-networks, operating-systems, databases, git, python, backend-development, mock-interview, question-and-answer, computer-science

## Member repositories
- wolverinn/Waking-Up (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:41.490482+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 2026-08-29T17:19:20.566676+00:00, confidence not recorded.
  - readme: https://github.com/wolverinn/Waking-Up (fetched 2026-08-28T04:10:41.490482+00:00, sha b0b59991cbd9)
- Data as of 2026-08-30T08:39:29.467469+00:00.