# geekxh/hello-algorithm

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/geekxh-hello-algorithm).**

36,074 stars · 6,419 forks · Java

## Links

- GitHub: https://github.com/geekxh/hello-algorithm
- Homepage: https://www.lintcode.com/chat-gpt?utm_source=tf-github-xhGPT
- awesome-repositories: https://awesome-repositories.com/repository/geekxh-hello-algorithm.md

## Topics

`algorithms` `dynamic-programming` `interview-questions` `leetcode` `leetcode-solutions`

## Description

This project is a comprehensive technical knowledge base and study guide focused on data structures, algorithms, and computer science fundamentals. It provides a curated collection of tutorials and educational resources designed to support technical growth and academic learning.

The repository distinguishes itself through a heavy emphasis on visual learning, utilizing mind maps, diagrams, and illustrated breakdowns to explain complex algorithmic logic. It further supports career readiness by providing a repository of company-specific interview questions and real-world candidate experiences.

The content covers a broad range of computer science topics, including linear and non-linear data structures, operating system fundamentals, and a library of open-source electronic books. These resources are organized into structured learning paths that bridge theoretical foundations with practical implementation guides.

## Tags

### Education & Learning Resources

- [Algorithm and Data Structure Guides](https://awesome-repositories.com/f/education-learning-resources/algorithm-and-data-structure-guides.md) — Provides a structured learning path to master data structures and algorithms through visual guides and solved challenges.
- [Algorithm Study Guides](https://awesome-repositories.com/f/education-learning-resources/algorithm-study-guides.md) — Provides a comprehensive collection of visualized explanations and solved coding challenges for mastering data structures and algorithms.
- [Coding Challenge Solutions](https://awesome-repositories.com/f/education-learning-resources/coding-challenge-solutions.md) — Provides a categorized repository of explained solutions to coding challenges organized by data structure and difficulty. ([source](https://github.com/geekxh/hello-algorithm/tree/master/PART_2_%E5%8A%9B%E6%89%A3%E5%9B%BE%E8%A7%A3))
- [Computer Science Fundamentals](https://awesome-repositories.com/f/education-learning-resources/computer-science-fundamentals.md) — Offers core educational resources on operating systems, Linux, and data structures through curated textbooks and mind maps.
- [Data Structure Fundamentals](https://awesome-repositories.com/f/education-learning-resources/data-structure-fundamentals.md) — Serves as a comprehensive educational resource explaining essential data structures including lists, queues, stacks, heaps, and trees. ([source](https://github.com/geekxh/hello-algorithm#readme))
- [Data Structure Tutorials](https://awesome-repositories.com/f/education-learning-resources/data-structure-tutorials.md) — Provides instructional guides for implementing and understanding core data structures like linked lists, trees, and graphs.
- [Algorithmic Visualizations](https://awesome-repositories.com/f/education-learning-resources/pedagogical-references/algorithmic-visualizations.md) — Uses diagrams and illustrative visual aids to guide the solving of dynamic programming and binary search problems. ([source](https://github.com/geekxh/hello-algorithm/blob/master/README.md))
- [Computer Science Fundamentals](https://awesome-repositories.com/f/education-learning-resources/technical-domain-education/technical-academic-domains/theoretical-cs-foundations/computer-science-fundamentals.md) — Offers a curated knowledge base of technical mind maps and electronic books covering operating systems and fundamental CS concepts.
- [Technical Interview Prep](https://awesome-repositories.com/f/education-learning-resources/technical-interview-prep.md) — Ships a repository of company-specific interview experiences and common technical questions to prepare candidates for hiring processes.
- [Technical Interview Preparation](https://awesome-repositories.com/f/education-learning-resources/technical-interview-preparation.md) — Provides resources for studying company-specific questions and interview experiences to prepare for technical coding assessments. ([source](https://github.com/geekxh/hello-algorithm#readme))
- [Visual Algorithm Breakdowns](https://awesome-repositories.com/f/education-learning-resources/visual-algorithm-breakdowns.md) — Visual guides and detailed breakdowns of coding challenges to clarify complex algorithmic logic. ([source](https://github.com/geekxh/hello-algorithm/tree/english))
- [Doubly Linked Lists](https://awesome-repositories.com/f/education-learning-resources/data-structure-implementations/doubly-linked-lists.md) — Provides guides on implementing bidirectional record sequences to enable traversal in both directions. ([source](https://github.com/geekxh/hello-algorithm/blob/master/PART_1_%E7%AE%97%E6%B3%95%E5%9F%BA%E7%A1%80/2_%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86/doubly-linked-list/README.md))
- [Graph Data Structures](https://awesome-repositories.com/f/education-learning-resources/educational-resources/algorithms-theory-academics/algorithm-data-structure-guides/graph-data-structures.md) — Covers theoretical concepts regarding directed, undirected, and weighted graphs for foundation in graph-based structures. ([source](https://github.com/geekxh/hello-algorithm/blob/master/PART_1_%E7%AE%97%E6%B3%95%E5%9F%BA%E7%A1%80/2_%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86/graph/README.md))
- [Heap Algorithms](https://awesome-repositories.com/f/education-learning-resources/heap-algorithms.md) — Provides detailed explanations of min-heap and max-heap properties and their role in priority-based data organization. ([source](https://github.com/geekxh/hello-algorithm/blob/master/PART_1_%E7%AE%97%E6%B3%95%E5%9F%BA%E7%A1%80/2_%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86/heap/README.md))
- [Interview Experience Reports](https://awesome-repositories.com/f/education-learning-resources/interview-preparation/interview-experience-reports.md) — Provides curated interview reports from major tech companies to help candidates prepare for specific roles and design questions. ([source](https://github.com/geekxh/hello-algorithm/tree/master/PART_3_%E5%A4%A7%E5%8E%82%E9%9D%A2%E8%AF%95))
- [Interview Questions](https://awesome-repositories.com/f/education-learning-resources/interview-questions.md) — Provides a categorized repository of technical interview questions and answers from major tech companies. ([source](https://github.com/geekxh/hello-algorithm/blob/master/1.md))
- [Knowledge Maps](https://awesome-repositories.com/f/education-learning-resources/knowledge-maps.md) — Provides structured visual representations of computer science domains to guide learners through complex subject hierarchies. ([source](https://github.com/geekxh/hello-algorithm/blob/master/1.md))
- [Linked List Algorithms](https://awesome-repositories.com/f/education-learning-resources/linked-list-algorithms.md) — Provides instructional content on node-based linear sequences covering insertion, deletion, searching, and traversal. ([source](https://github.com/geekxh/hello-algorithm/blob/master/PART_1_%E7%AE%97%E6%B3%95%E5%9F%BA%E7%A1%80/2_%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86/linked-list/README.md))
- [Open Source Textbooks](https://awesome-repositories.com/f/education-learning-resources/open-source-textbooks.md) — Offers a curated library of open-source electronic books covering computer science fundamentals and algorithm training. ([source](https://github.com/geekxh/hello-algorithm/tree/english))
- [E-Books](https://awesome-repositories.com/f/education-learning-resources/programming-books/e-books.md) — Provides a vast collection of free electronic books covering operating systems, databases, and web development. ([source](https://github.com/geekxh/hello-algorithm/tree/master/%E5%8D%83%E6%9C%AC%E5%BC%80%E6%BA%90%E7%94%B5%E5%AD%90%E4%B9%A6))
- [Stack Data Structures](https://awesome-repositories.com/f/education-learning-resources/stack-data-structures.md) — Explains last-in-first-out principles and core operations including pushing, popping, and peeking. ([source](https://github.com/geekxh/hello-algorithm/blob/master/PART_1_%E7%AE%97%E6%B3%95%E5%9F%BA%E7%A1%80/2_%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86/stack/README.md))
- [Technical Books](https://awesome-repositories.com/f/education-learning-resources/technical-books.md) — Provides open-source electronic books focused on essential materials for professional development in the IT industry. ([source](https://github.com/geekxh/hello-algorithm/blob/master/1.md))
- [Tree Data Structures](https://awesome-repositories.com/f/education-learning-resources/tree-data-structures.md) — Explains conceptual structures of hierarchical data types including root nodes, parent-child relationships, and recursive definitions. ([source](https://github.com/geekxh/hello-algorithm/blob/master/PART_1_%E7%AE%97%E6%B3%95%E5%9F%BA%E7%A1%80/2_%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86/tree/README.md))

### Software Engineering & Architecture

- [Algorithmic Problem Solving](https://awesome-repositories.com/f/software-engineering-architecture/algorithmic-problem-solving.md) — Offers solved algorithmic problems with visual explanations to help users master coding efficiency and interview performance. ([source](https://github.com/geekxh/hello-algorithm/tree/master/%E7%AE%97%E6%B3%95%E8%AF%BB%E7%89%A9))
- [Hash Tables](https://awesome-repositories.com/f/software-engineering-architecture/hash-tables.md) — Provides explanations of associative arrays, hash functions, and methods for resolving collisions in key-value mapping. ([source](https://github.com/geekxh/hello-algorithm/blob/master/PART_1_%E7%AE%97%E6%B3%95%E5%9F%BA%E7%A1%80/2_%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86/hash-table/README.md))
- [Priority Queues](https://awesome-repositories.com/f/software-engineering-architecture/queue-implementations/priority-queues.md) — Provides guides on managing collections of elements with associated priorities to ensure high-priority processing. ([source](https://github.com/geekxh/hello-algorithm/blob/master/PART_1_%E7%AE%97%E6%B3%95%E5%9F%BA%E7%A1%80/2_%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86/priority-queue/README.md))
- [Trie Data Structures](https://awesome-repositories.com/f/software-engineering-architecture/trie-data-structures.md) — Offers guides on implementing prefix-based search trees for efficient string retrieval and key lookups. ([source](https://github.com/geekxh/hello-algorithm/blob/master/PART_1_%E7%AE%97%E6%B3%95%E5%9F%BA%E7%A1%80/2_%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86/trie/README.md))

### System Administration & Monitoring

- [Linux Fundamentals](https://awesome-repositories.com/f/system-administration-monitoring/administrative-operations/linux-system-administration/linux-fundamentals.md) — Offers comprehensive explanations of Linux operating system concepts and practical usage for environment management. ([source](https://github.com/geekxh/hello-algorithm/tree/master/PART_4_CS%E7%9F%A5%E8%AF%86%E6%B1%87%E6%80%BB/Linux))