# ninechapter-algorithm/leetcode-linghu-templete

算法面试必备，推荐刷题网站www.lintcode.com。北大学霸的《LeetCode刷题模板》+V领取: jiuzhangfeifei

Repository: https://github.com/ninechapter-algorithm/leetcode-linghu-templete
Canonical: https://ross.abutalabs.com/products/leetcode-linghu-templete
Homepage: https://www.lintcode.com/?utm_source=github-jenny
License Family: other
Topics: algorithm, java, leetcode, python
Last push: 2022-09-08T07:48:36+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": 2208, "days_push": 1455, "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 3358, forks 782 (observed 2026-08-28T04:07:57.999233+00:00)

## What it is
A collection of LeetCode algorithm templates and cheatsheets (binary search, two pointers, BFS/DFS, trees, etc.) in Java and Python, created by a Peking University alumnus for coding interview prep. It is primarily a study resource with PDFs and example code, promoting LintCode and a paid course.

## Use cases
- prepare for coding interviews at big tech companies
- learn common algorithm templates for leetcode
- review data structures like binary trees and hash tables before an interview
- find high-frequency interview problems to practice
- memorize reusable code templates for BFS and DFS

## When to choose
- you are preparing for algorithm-heavy technical interviews
- you want concise, reusable templates for common LeetCode patterns
- you prefer structured study material with curated high-frequency problems

## When to avoid
- you need a production-ready algorithm library to import into your project
- you want actively maintained code with tests and releases
- you dislike promotional content tied to paid courses

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, tutorials
- platform: cross-platform
- tags: leetcode, interview-prep, cheatsheet, data-structures, java, python, coding-interview, algorithms

## Member repositories
- ninechapter-algorithm/leetcode-linghu-templete (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:57.999233+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 2026-08-29T18:40:54.412291+00:00, confidence not recorded.
  - readme: https://github.com/ninechapter-algorithm/leetcode-linghu-templete (fetched 2026-08-28T04:07:57.999233+00:00, sha e8594dbc1859)
  - homepage: https://www.lintcode.com/?utm_source=github-jenny (fetched 2026-08-29T09:34:15.317188+00:00, sha 63687b82ab1b)
- Data as of 2026-08-30T08:39:29.467469+00:00.