# kevingo/coding-interview-university-zh-tw

coding-interview-university 繁體中文翻譯計畫。原作者：https://github.com/jwasham/coding-interview-university

Repository: https://github.com/kevingo/coding-interview-university-zh-tw
Canonical: https://ross.abutalabs.com/products/coding-interview-university-zh-tw
License: CC-BY-SA-4.0
License Family: other
Topics: interview, interview-prep, programming-interviews, coding-interview-university, python
Last push: 2022-11-17T11:11:11+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": 3116, "days_push": 1385, "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 1999, forks 385 (observed 2026-08-28T04:06:03.727750+00:00)

## What it is
A Traditional Chinese translation of the coding-interview-university study plan, a multi-month curriculum covering computer science fundamentals for software engineering interviews. It is a curated list of study topics, resources, and exercises aimed at helping developers prepare for interviews at large tech companies.

## Use cases
- prepare for a coding interview at a big tech company
- study data structures and algorithms from scratch
- transition from web development to software engineering
- find a structured computer science self-study plan in Traditional Chinese
- review CS fundamentals before an Amazon or Google interview
- plan a multi-month interview prep schedule

## When to choose
- you read Traditional Chinese and want a comprehensive, free interview study plan
- you are a self-taught developer without a CS degree preparing for big-company interviews
- you want a curated checklist of CS topics rather than a single course

## When to avoid
- you need interactive coding exercises or an online judge
- you want interview prep for frontend-specific or system-design-only roles
- you need up-to-date content and cannot rely on a translation project

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: education, tutorials, developer-tools
- platform: cross-platform
- tags: coding-interview, interview-preparation, traditional-chinese, study-plan, data-structures, algorithms, translation

## Member repositories
- kevingo/coding-interview-university-zh-tw (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:03.727750+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 2026-08-30T03:02:10.596714+00:00, confidence not recorded.
  - readme: https://github.com/kevingo/coding-interview-university-zh-tw (fetched 2026-08-28T04:06:03.727750+00:00, sha 5f801ca16ae8)
- Data as of 2026-08-30T08:39:29.467469+00:00.