wangzheng0822/algo resource
数据结构和算法必知必会的50个代码实现 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: 2900
- days_rel: n/a
- days_push: 742
- n_releases_24m: 0
Adoption not part of the score
23135 stars · 6973 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of 50 reference implementations of essential data structures and algorithms in Python (with some other language variants), accompanying a popular Chinese algorithms course. It covers arrays, linked lists, stacks, queues, sorting, binary search, hash tables, trees, heaps, graphs, backtracking, divide-and-conquer, and dynamic programming.
Use cases
- learn data structures and algorithms with example code
- prepare for coding interviews
- find reference implementations of classic algorithms like Dijkstra or LRU cache
- study dynamic programming and backtracking examples
- review sorting and binary search implementations
When to choose
- you want readable educational implementations of core data structures and algorithms
- you are preparing for technical interviews and want worked examples
- you are following the author's algorithms course and want companion code
When to avoid
- you need production-ready, performant data structure libraries
- you need comprehensive algorithm coverage beyond the 50 listed exercises
- you need actively maintained code with tests and releases
Facets
learning-resource · maturity maintenance
developer-tools education tutorials python cross-platform data-structures algorithms interview-prep educational-code chinese
1 source
- readme: https://github.com/wangzheng0822/algo · fetched 2026-08-28 · d81cbd90f358
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| wangzheng0822/algo | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="wangzheng0822/algo")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem