# callmePicacho/Data-Structres

浙江大学《数据结构》上课笔记 + 数据结构实现 + 课后题题解

Repository: https://github.com/callmePicacho/Data-Structres
Canonical: https://ross.abutalabs.com/products/data-structres
Language: C++
License: MIT
License Family: permissive
Last push: 2022-08-23T14:01:51+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": 2674, "days_push": 1471, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3875, forks 506 (observed 2026-08-28T04:08:27.885872+00:00)

## What it is
A collection of study notes, C++ implementations, and exercise solutions for Zhejiang University's popular 'Data Structures' MOOC on China University MOOC. It covers topics from basic concepts and linear structures to trees, with links to detailed blog posts explaining each topic and problem.

## Use cases
- study for a data structures course
- find solutions to ZJU data structures MOOC exercises
- learn binary search trees and AVL trees with notes
- review linked list, stack, and queue implementations in C++
- prepare for technical interviews on data structures
- understand tree traversals and heaps with worked examples

## When to choose
- you are taking or self-studying ZJU's Data Structures MOOC and want companion notes
- you want Chinese-language explanations plus C++ code for classic data structure problems
- you need worked solutions with difficulty ratings for course exercises

## When to avoid
- you need a production-ready data structures library to use in software
- you prefer English-language learning materials
- you need advanced topics like graphs beyond the course syllabus or modern C++ idioms

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages
- platform: cross-platform
- tags: data-structures, study-notes, zhejiang-university, mooc, exercise-solutions, cpp-implementations, computer-science, algorithms

## Member repositories
- callmePicacho/Data-Structres (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:27.885872+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 2026-08-29T18:25:46.273169+00:00, confidence not recorded.
  - readme: https://github.com/callmePicacho/Data-Structres (fetched 2026-08-28T04:08:27.885872+00:00, sha 4233f4e117bf)
- Data as of 2026-08-30T08:39:29.467469+00:00.