# itcharge/AlgoNote

⛽️「算法通关手册」：从零开始的「算法与数据结构」学习教程，200 道「算法面试热门题目」，1000+ 道「LeetCode 题目解析」，持续更新中！

Repository: https://github.com/itcharge/AlgoNote
Canonical: https://ross.abutalabs.com/products/algonote
Homepage: https://algo.itcharge.cn/
Language: Python
License: NOASSERTION
License Family: other
Topics: leetcode, python, data-structure, algorithms, data-structures, leetcode-solutions, leetcode-python, interviews, algorithm, acm-icpc, algo, leetcode-py, interview, algorithms-datastructures
Last push: 2026-06-23T16:27:51+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 89, release rhythm 19, longevity 100
- inputs: {"age_days": 2049, "days_push": 71, "days_rel": 324, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7793, forks 1290 (observed 2026-08-28T04:10:05.072668+00:00)

## What it is
A free Chinese-language online book teaching algorithms and data structures from scratch, with 1000+ LeetCode problem solutions and 200 curated high-frequency interview questions. It combines theory explanations with Python-based practice problems and is available as a website and PDF.

## Use cases
- prepare for coding interview algorithm questions
- learn data structures and algorithms from scratch
- find leetcode problem solutions explained in python
- study dynamic programming and graph algorithms
- practice leetcode problems for technical interviews
- review common algorithm interview questions asked by big tech companies

## When to choose
- you want a structured, beginner-friendly algorithm tutorial with lots of illustrations
- you are preparing for algorithm interviews and want curated high-frequency LeetCode problems
- you prefer learning in Chinese with Python code examples

## When to avoid
- you need a runnable library or tool rather than a tutorial
- you need content in English or in a language other than Python
- you need a permissively licensed resource you can redistribute commercially (CC BY-NC-ND)

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: education, tutorials, programming-languages
- platform: python
- tags: leetcode, data-structures, interview-preparation, chinese-language, competitive-programming, dynamic-programming, ebook, algorithms, web-server

## Member repositories
- itcharge/AlgoNote (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:05.072668+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 2026-08-29T17:34:38.740417+00:00, confidence not recorded.
  - readme: https://github.com/itcharge/AlgoNote (fetched 2026-08-28T04:10:05.072668+00:00, sha 800ff023caa2)
  - homepage: https://algo.itcharge.cn/ (fetched 2026-08-29T08:30:58.258603+00:00, sha 0a7e2e746739)
- Data as of 2026-08-30T08:39:29.467469+00:00.