subbarayudu-j/TheAlgorithms-Python resource
TheAlgorithms/Python observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2712
- days_rel: n/a
- days_push: 806
- n_releases_24m: 0
Adoption not part of the score
3549 stars · 655 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of algorithms implemented in Python for educational purposes, covering sorting, searching, and other classic algorithms with complexity explanations. It is a fork of TheAlgorithms/Python intended for learning and demonstration, not production use.
Use cases
- learn how sorting algorithms work in python
- study algorithm implementations for coding interviews
- find example code for bubble sort and merge sort
- understand time complexity of classic algorithms
- reference python implementations of data structures and algorithms
When to choose
- you are learning algorithms and want readable python examples
- you are preparing for technical interviews and want to study implementations
- you want annotated code with complexity analysis
When to avoid
- you need performant, production-ready algorithm implementations
- you should use the python standard library or optimized packages instead
Facets
learning-resource · maturity active
developer-tools education tutorials python algorithms sorting data-structures educational interview-preparation
1 source
- readme: https://github.com/subbarayudu-j/TheAlgorithms-Python · fetched 2026-08-28 · d8febfe86ead
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| subbarayudu-j/TheAlgorithms-Python | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="subbarayudu-j/TheAlgorithms-Python")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem