# gibsjose/cpp-cheat-sheet

C++ Syntax, Data Structures, and Algorithms Cheat Sheet

Repository: https://github.com/gibsjose/cpp-cheat-sheet
Canonical: https://ross.abutalabs.com/products/cpp-cheat-sheet
Language: C++
License Family: other
Last push: 2023-08-05T05:27:20+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": 3862, "days_push": 1124, "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 5301, forks 1453 (observed 2026-08-28T04:09:15.318761+00:00)

## What it is
A pair of Markdown cheat sheets covering C++ syntax (mostly C++11) and common data structures and algorithms. Originally compiled for technical interview preparation at companies like Google and NASA.

## Use cases
- review C++ syntax before a coding interview
- study common data structures and algorithms in C++
- quickly look up C++11 language features
- prepare for technical interviews at big tech companies
- refresh knowledge of STL containers and algorithms

## When to choose
- you want a concise, free reference for C++ and DSA fundamentals
- you are preparing for software engineering interviews
- you prefer Markdown cheat sheets over long textbooks

## When to avoid
- you need a comprehensive C++ language reference or tutorial
- you require coverage of modern C++ beyond C++11
- you need a structured course with exercises rather than a reference

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: programming-languages, tutorials, education
- platform: cpp
- tags: cheat-sheet, cpp, data-structures, algorithms, interview-prep, reference

## Member repositories
- gibsjose/cpp-cheat-sheet (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:15.318761+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 2026-08-29T17:59:01.338545+00:00, confidence not recorded.
  - readme: https://github.com/gibsjose/cpp-cheat-sheet (fetched 2026-08-28T04:09:15.318761+00:00, sha aa6aea5177fc)
- Data as of 2026-08-30T08:39:29.467469+00:00.