wangzheng0822/algo

Analysis updated 2026-05-18

★ 23,163PythonAudience · developerComplexity · 1/5LicenseSetup · easy

Mindmap

mindmap
  root((repo))
    What it covers
      Arrays and lists
      Sorting algorithms
      Trees and graphs
      Dynamic programming
    Learning format
      Code examples
      Hands-on practice
      Interview prep
    Data structures
      Stacks and queues
      Hash tables
      Heaps
    Algorithms
      Binary search
      Recursion
      Backtracking
      Divide and conquer

mindmap root((repo)) What it covers Arrays and lists Sorting algorithms Trees and graphs Dynamic programming Learning format Code examples Hands-on practice Interview prep Data structures Stacks and queues Hash tables Heaps Algorithms Binary search Recursion Backtracking Divide and conquer

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What do people build with it?

USE CASE 1

Study data structures and algorithms fundamentals with working Python code examples.

USE CASE 2

Prepare for technical interviews by reviewing 50 essential algorithm implementations.

USE CASE 3

Follow along with a computer science course using practical code walkthroughs.

What is it built with?

Python

How does it compare?

	wangzheng0822/algo	shiyu-coder/kronos	timqian/chinese-independent-blogs
Stars	23,163	23,168	23,225
Language	Python	Python	Python
Setup difficulty	easy	moderate	easy
Complexity	1/5	3/5	1/5
Audience	developer	developer	general

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

Use freely for any purpose including commercial. Keep the notice and disclose changes to the patent grant.

In plain English

This repository is a Chinese-language coding reference that provides 50 implementations of essential data structures and algorithms. The description translates roughly to "50 must-know code implementations of data structures and algorithms." The repo is a companion to popular Chinese programming courses. It covers all the classic building blocks a programmer needs to learn: arrays, linked lists, stacks, queues, recursion, sorting (merge sort, quicksort, insertion sort, and more), binary search, hash tables, binary trees, heaps, graphs, backtracking, divide-and-conquer, and dynamic programming. Each topic includes hands-on code examples rather than just theory. You would use this as a study guide if you are learning computer science fundamentals, preparing for technical interviews, or following along with a data structures and algorithms course. The content is primarily in Chinese. All code is written in Python.

Copy-paste prompts

Prompt 1

Show me how to implement a binary search tree in Python using the examples from this repo.

Prompt 2

Walk me through the quicksort and merge sort implementations in this data structures guide.

Prompt 3

How would I use the dynamic programming examples here to solve interview problems?

Prompt 4

Explain the linked list and stack implementations from this 50-algorithm reference.

Frequently asked questions

What is algo?

A Chinese-language guide with 50 Python implementations of essential data structures and algorithms, from arrays to dynamic programming.

What language is algo written in?

Mainly Python. The stack also includes Python.

What license does algo use?

Use freely for any purpose including commercial. Keep the notice and disclose changes to the patent grant.

How hard is algo to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is algo for?

Mainly developer.

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