# geekxh/hello-algorithm

🌍 针对小白的算法训练 | 包括四部分：①.大厂面经 ②.力扣图解  ③.千本开源电子书 ④.百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）推荐免费ChatGPT使用网站

Repository: https://github.com/geekxh/hello-algorithm
Canonical: https://ross.abutalabs.com/products/hello-algorithm
Homepage: https://www.lintcode.com/chat-gpt?utm_source=tf-github-xhGPT
Language: Java
License Family: other
Topics: algorithms, interview-questions, dynamic-programming, leetcode, leetcode-solutions
Last push: 2023-06-13T04:13:17+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2287, "days_push": 1177, "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 36091, forks 6408 (observed 2026-08-28T04:12:00.967624+00:00)

## What it is
A Chinese-language algorithm learning resource for beginners, featuring illustrated LeetCode problem solutions, data structure fundamentals, tech interview experiences, open-source ebooks, and technical mind maps. It is primarily a curated collection of tutorials and study material rather than runnable software.

## Use cases
- learn algorithms from scratch as a beginner
- prepare for coding interviews at big tech companies
- find illustrated explanations of leetcode problems
- study dynamic programming with worked examples
- download algorithm study notes as PDF
- review data structure concepts with mind maps

## When to choose
- you are a beginner wanting a structured algorithm training path
- you prefer Chinese-language explanations with diagrams
- you are preparing for technical interviews and want curated problem solutions

## When to avoid
- you need runnable code or a maintained library
- you want English-only learning material
- you need an actively updated resource with a license

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: education, tutorials, programming-languages
- platform: cross-platform
- tags: leetcode, interview-preparation, data-structures, dynamic-programming, chinese-language, mind-maps, ebooks, algorithms

## Member repositories
- geekxh/hello-algorithm (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:00.967624+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 2026-08-29T16:26:43.682400+00:00, confidence not recorded.
  - readme: https://github.com/geekxh/hello-algorithm (fetched 2026-08-28T04:12:00.967624+00:00, sha 9d6b886827b9)
  - homepage: https://www.lintcode.com/chat-gpt?utm_source=tf-github-xhGPT (fetched 2026-08-29T07:47:42.663009+00:00, sha 63687b82ab1b)
- Data as of 2026-08-30T08:39:29.467469+00:00.