# ndb796/python-for-coding-test

[한빛미디어] "이것이 취업을 위한 코딩 테스트다 with 파이썬" 전체 소스코드 저장소입니다.

Repository: https://github.com/ndb796/python-for-coding-test
Canonical: https://ross.abutalabs.com/products/python-for-coding-test
Language: Python
License Family: other
Topics: algorithms, data-structures, coding-interviews
Last push: 2022-05-08T16:21:30+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": 2331, "days_push": 1578, "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 2414, forks 830 (observed 2026-08-28T04:06:44.561318+00:00)

## What it is
Companion source code repository for the Korean book '이것이 취업을 위한 코딩 테스트다 with Python' (Coding Test for Employment with Python). It contains example implementations of algorithms and data structures in Python, C++, and Java, organized by book chapter.

## Use cases
- prepare for coding interview questions
- study algorithms and data structures with python examples
- practice greedy, dfs, bfs, and dynamic programming problems
- find solutions to baekjoon and programmers style problems
- learn python for job coding tests

## When to choose
- you are studying for employment coding tests using the companion book
- you want reference implementations of classic algorithms in Python, C++, or Java
- you prefer chapter-by-chapter structured algorithm study material

## When to avoid
- you need a production-ready algorithm library to import into your project
- you want actively maintained software with a license
- you need English-language documentation

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages, tutorials
- platform: python, cpp, jvm
- tags: coding-interview, data-structures, competitive-programming, book-companion, korean, algorithms

## Member repositories
- ndb796/python-for-coding-test (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:44.561318+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 2026-08-30T02:33:13.052273+00:00, confidence not recorded.
  - readme: https://github.com/ndb796/python-for-coding-test (fetched 2026-08-28T04:06:44.561318+00:00, sha 0dbc71a8a54a)
- Data as of 2026-08-30T08:39:29.467469+00:00.