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geekxh/hello-algorithm

36,078JavaAudience · developerComplexity · 1/5DormantSetup · easy

TLDR

Visual algorithm and data structure guide for interview prep, with illustrated LeetCode solutions and tech company interview questions.

Mindmap

mindmap
  root((hello-algorithm))
    What it covers
      Data structures
      LeetCode solutions
      Interview questions
      Tech concepts
    Learning approach
      Visual diagrams
      Illustrated examples
      Structured path
    Use cases
      Interview prep
      Algorithm practice
      Concept review
    Content format
      Java code
      PDF downloads
      Mind maps

Things people build with this

USE CASE 1

Prepare for technical interviews at major tech companies by studying visual explanations of core data structures.

USE CASE 2

Practice solving classic LeetCode problems with step-by-step illustrated solutions in Java.

USE CASE 3

Build foundational algorithm knowledge through diagram-based learning if you find traditional textbooks intimidating.

USE CASE 4

Review computer science concepts using over 100 mind maps covering broader technical topics.

Tech stack

Java

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

hello-algorithm is a comprehensive algorithm training resource aimed at beginners who are preparing for technical job interviews, particularly at major tech companies. The project is primarily written in Chinese and targets Chinese-speaking developers. It addresses the common challenge that many people find algorithm and data structure problems intimidating when starting out, especially without a structured learning path. The repository is organized into four main sections. The first covers algorithm fundamentals with visual explanations of data structures like linked lists, trees, graphs, stacks, queues, and hash tables. The second section provides illustrated solutions to classic LeetCode problems, LeetCode is a popular platform where companies like Google and Amazon draw their interview questions from. The third section collects interview questions and experiences from top tech companies. The fourth section contains over a hundred technology concept mind maps covering broader computer science knowledge. The approach focuses on visual, diagram-based learning rather than dry theory, making it more accessible to people who learn better from pictures than from text-heavy explanations. Solutions are implemented in Java, and the project also offers downloadable PDF versions of the content for offline use. Someone would use this repository when preparing for a software engineering job interview, particularly if they are a beginner or intermediate developer who finds algorithm problems difficult to approach. It is especially relevant for those targeting roles at well-known tech companies that emphasize coding challenges. The primary language is Java, and no special runtime beyond a Java environment is needed to study or run the example code.

Copy-paste prompts

Prompt 1
I'm preparing for a software engineering interview and struggle with algorithm problems. Walk me through how to use hello-algorithm's visual approach to learn linked lists and trees.
Prompt 2
Show me how to study the LeetCode solutions in hello-algorithm and explain the Java code for a classic array or string problem.
Prompt 3
I want to understand data structures better before my interview. Which sections of hello-algorithm should I focus on first, and how do I download the PDF for offline study?
Prompt 4
Help me use hello-algorithm's mind maps to review key computer science concepts I might be asked about in a tech company interview.
Prompt 5
Explain the interview questions and experiences shared in hello-algorithm for companies like Google and Amazon. What patterns should I look for?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.