explaingit

azl397985856/leetcode

55,779JavaScriptAudience · developerComplexity · 1/5QuietSetup · easy

TLDR

A personal collection of 200+ LeetCode problem solutions with detailed explanations, algorithm guides, and a 91-day study plan to prepare for coding interviews.

Mindmap

mindmap
  root((repo))
    What it does
      Problem solutions
      Algorithm guides
      Study plans
    Content types
      Detailed breakdowns
      Code examples
      Anki flashcards
    Algorithms covered
      Dynamic programming
      Graph traversal
      Binary search
      Backtracking
    Data structures
      Arrays and lists
      Trees and tries
      Heaps and queues
    Use cases
      Interview prep
      Algorithm learning
      Pattern memorization

Things people build with this

USE CASE 1

Prepare for software engineering job interviews by studying 200+ solved LeetCode problems with explanations.

USE CASE 2

Learn algorithm patterns and data structures through a structured 91-day study plan.

USE CASE 3

Use Anki flashcards to memorize common coding patterns and problem-solving techniques.

USE CASE 4

Review JavaScript implementations of classic algorithms like dynamic programming, graph traversal, and binary search.

Tech stack

JavaScriptLeetCode

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 personal collection of solutions to coding problems from LeetCode, a popular platform used by software engineers to practice algorithm and data structure challenges, especially when preparing for technical job interviews. The author, writing primarily in Chinese, documents their own problem-solving journey through over 200 classic LeetCode problems, along with deeper guides on specific algorithm topics. The repository is organized into five main parts: detailed breakdowns of individual problems (including thought processes and working code), summaries of common algorithms and data structures, a set of Anki flashcard files so you can memorize key patterns, a daily problem activity where a community works through one problem together each day, and a planning section for future additions. Algorithms covered include divide and conquer, binary search, greedy strategies, sorting methods, backtracking, graph traversal, and dynamic programming. Data structures covered include arrays, linked lists, stacks, queues, hash tables, heaps, trees, and tries. You would use this repository if you are studying for software engineering interviews and want detailed Chinese-language explanations of LeetCode problems, or if you want a structured 91-day study plan to work through algorithmic fundamentals systematically. There is also a companion browser extension and an associated published book. The primary language for code examples is JavaScript, though the conceptual discussions apply broadly to algorithm study regardless of language.

Copy-paste prompts

Prompt 1
I'm preparing for a coding interview. Walk me through the LeetCode problem solutions in this repo and explain the key algorithm patterns I should memorize.
Prompt 2
Show me how to use the 91-day study plan in this repository to systematically learn data structures and algorithms.
Prompt 3
Convert the Anki flashcards from this LeetCode solutions repo into a study schedule I can follow for the next 3 months.
Prompt 4
Explain the dynamic programming problems in this repository and help me understand when to apply DP vs other approaches.
Prompt 5
Create a JavaScript solution template based on the patterns shown in this repo's LeetCode solutions.
Open on GitHub → Explain another repo

Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.