# buildwithmalik/PythonCheatSheet

A Cheat Sheet 📜 to revise Python syntax. Particularly useful for solving Data Structure and Algorithmic problems with Python.

Repository: https://github.com/buildwithmalik/PythonCheatSheet
Canonical: https://ross.abutalabs.com/products/pythoncheatsheet
License Family: other
Last push: 2026-01-23T02:41:21+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 63, release rhythm 35, longevity 100
- inputs: {"age_days": 1548, "days_push": 222, "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 1328, forks 211 (observed 2026-08-28T04:04:23.716359+00:00)

## What it is
A Python syntax cheat sheet designed for quick revision, with a focus on data structures and algorithms useful for coding interviews. It covers basics, data structures like lists, dictionaries, deques, and heaps, built-in functions, and best practices.

## Use cases
- revise python syntax quickly before an interview
- look up python list and dictionary operations
- review time complexities of python data structures
- prepare for data structure and algorithm problems in python
- get a quick python reference as a pdf

## When to choose
- you need a fast refresher on python syntax for interviews or DSA practice
- you want a concise reference covering collections like Counter, defaultdict, and heapq

## When to avoid
- you need a comprehensive python tutorial or beginner course
- you need executable code or a runnable library rather than reference material

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: programming-languages, education, developer-tools
- platform: python, cross-platform
- tags: cheat-sheet, python-syntax, interview-preparation, data-structures, reference-guide, algorithms

## Member repositories
- buildwithmalik/PythonCheatSheet (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:23.716359+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 2026-08-30T04:45:49.530133+00:00, confidence not recorded.
  - readme: https://github.com/buildwithmalik/PythonCheatSheet (fetched 2026-08-28T04:04:23.716359+00:00, sha 7f014fbc5872)
- Data as of 2026-08-30T08:39:29.467469+00:00.