qiwsir/algorithm resource
None 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 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4482
- days_rel: n/a
- days_push: 1547
- n_releases_24m: 0
Adoption not part of the score
3299 stars · 1040 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of classic algorithm and data structure problems implemented in Python, each accompanied by explanatory markdown documents. It covers topics like sorting, binary search, binary trees, Dijkstra's shortest path, dynamic programming, and Fibonacci sequences.
Use cases
- learn algorithms in python with worked examples
- study sorting and searching implementations
- prepare for coding interview algorithm questions
- understand binary tree traversal with code
- see dijkstra shortest path implemented in python
- compare greedy vs dynamic programming coin change solutions
When to choose
- you are a beginner learning algorithms through readable Python code
- you want explanations paired with implementations for classic problems
- you read Chinese and want algorithm tutorials in that language
When to avoid
- you need a production-ready algorithm library with tested, maintained APIs
- you need guaranteed support or a clear license for commercial use
- you want actively updated content - the repo has not seen recent releases
Facets
learning-resource · maturity maintenance
developer-tools education programming-languages tutorials python cross-platform algorithms python-examples interview-prep data-structures chinese-language tutorial-collection
1 source
- readme: https://github.com/qiwsir/algorithm · fetched 2026-08-28 · 9cf9d55efd73
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| qiwsir/algorithm | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="qiwsir/algorithm")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem