explaingit

youngyangyang04/leetcode-master

61,434ShellAudience · developerComplexity · 2/5ActiveSetup · easy

TLDR

Structured LeetCode study guide with 200 curated algorithm problems, detailed explanations, diagrams, and solutions in multiple languages, designed to help interview candidates learn patterns and problem-solving approaches.

Mindmap

mindmap
  root((repo))
    What it does
      200 curated problems
      Pattern explanations
      Multiple solutions
      Interview prep
    Topics covered
      Arrays and lists
      Trees and graphs
      Dynamic programming
      Backtracking
    Learning resources
      Detailed writeups
      Mind maps
      Video lectures
      Diagrams
    Tech stack
      Markdown
      C++ primary
      Java Python Go
    Audience
      Interview candidates
      Chinese speakers
      Algorithm learners

Things people build with this

USE CASE 1

Prepare for technical interviews at major tech companies by working through 200 carefully sequenced algorithm problems.

USE CASE 2

Learn algorithm patterns and problem-solving approaches with detailed explanations and diagrams for each topic.

USE CASE 3

Study data structures like arrays, trees, graphs, and dynamic programming with worked solutions in your preferred language.

USE CASE 4

Follow a structured learning path that progresses from foundational concepts to advanced algorithm techniques.

Tech stack

MarkdownShellC++JavaPythonGoJavaScript

Getting it running

Difficulty · easy Time to first run · 5min
License could not be detected automatically. Check the repository's LICENSE file before use.

In plain English

This repository is a structured LeetCode study guide written primarily in Chinese that provides a curated learning path through 200 classic algorithm and data structure problems, with detailed explanations, diagrams, and solutions in multiple programming languages. The description and README indicate it contains over 600,000 characters of written content plus over 50 mind maps. The core problem it addresses is that beginning programmers preparing for technical interviews often do not know which problems to solve or in what order, and standard resources do not explain the underlying patterns and thought processes clearly enough. The guide organizes problems by topic in a carefully sequenced order, starting with foundational subjects like arrays and linked lists, then progressing through hash tables, strings, stacks and queues, binary trees, backtracking, greedy algorithms, dynamic programming, and graph theory. Each topic section includes theory explanations before the problems, worked solutions with diagrams and video links, and summary articles. Solutions are provided in C++ as the primary language with additional implementations in Java, Python, Go, and JavaScript contributed by the community. The README is written in Chinese and targets Chinese-speaking developers preparing for technical interviews at major technology companies. It links to a companion website, published book, and video lecture series. You would use this repository if you are a Chinese-speaking developer preparing for software engineering interviews and want a complete, organized system for learning algorithms. The tech stack for the study content itself is Markdown and Shell, with solutions in multiple languages.

Copy-paste prompts

Prompt 1
I'm preparing for a software engineering interview. Walk me through the array problems in this LeetCode guide and explain the key patterns I should recognize.
Prompt 2
Show me how to approach dynamic programming problems using the explanations and solutions from this repository. What's the thought process?
Prompt 3
I want to learn backtracking algorithms. Use the problems and diagrams from this guide to explain the pattern and show me a worked example.
Prompt 4
Help me understand binary trees and graph theory by working through the problems in this study guide. What are the core concepts?
Prompt 5
Create a study schedule using the 200 problems in this repository. How should I order my learning to build skills progressively?
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