arpankg/ctci-python-solutions resource
Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2077
- days_rel: n/a
- days_push: 1896
- n_releases_24m: 0
Adoption not part of the score
1059 stars · 158 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of Python 3 solutions to the coding interview questions from 'Cracking the Coding Interview' by Gayle Laakmann McDowell, organized by chapter (arrays, linked lists, stacks, etc.). Each solution includes detailed explanations, originally hosted on quastor.org.
Use cases
- prepare for software engineering coding interviews
- practice data structures and algorithms problems in Python
- study worked solutions to CTCI questions with explanations
- review common interview topics like linked lists and stacks
- find Python 3 reference implementations of classic interview problems
When to choose
- you are working through the CTCI book and want Python 3 solutions with explanations
- you prefer reading annotated solutions over solving completely cold
- you want a chapter-by-chapter structured interview prep resource
When to avoid
- you need an actively maintained library or runnable test suite - this is a study resource, not software
- you rely on the external quastor.org explanation links, which now appear to point to unrelated casino spam content
- you need solutions in a language other than Python
Facets
learning-resource · maturity maintenance
developer-tools documentation education programming-languages tutorials python cross-platform interview-preparation coding-interview ctci data-structures algorithms python3 study-guide
3 sources
- readme: https://github.com/arpankg/ctci-python-solutions · fetched 2026-08-28 · f540edea623a
- homepage: https://quastor.org/cracking-the-coding-interview/arrays-and-strings/one-away · fetched 2026-08-29 · 01103dc7b505
- site_page: https://quastor.org/about · fetched 2026-08-29 · 79fe6680083b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| arpankg/ctci-python-solutions | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="arpankg/ctci-python-solutions")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem