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Awesome GitHub RepositoriesData Structure Tutorials
Educational content covering the implementation and theory of fundamental data structures.
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Awesome Data Structure Tutorials GitHub Repositories
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- krahets/hello-algo
krahets/hello-algo
127,271在 GitHub 上查看This project is an educational resource and reference library designed to teach fundamental data structures and algorithmic problem-solving. It provides a structured pedagogical framework that organizes complex technical concepts into a logical progression, helping learners understand how data is organized, stored, and processed to solve computational problems efficiently. The repository distinguishes itself through a multi-language codebase that maintains parallel, consistent implementations of core algorithms and data structures across various programming languages. It bridges the gap betwe
双向队列的实现与队列类似，可以选择链表或数组作为底层数据结构。 ### 1\. 基于双向链表的实现¶ 回顾上一节内容，我们使用普通单向链表来实现队列，因为它可以方便地删除头节点（对应出队操作）和在尾节点后添加新节点（对应入队操作）。 对于双向队列而言，头部和尾部都可以执行入队和出队操作。换句话说，双向队列需要实现另一个对称方向的操作。为此，我们采用“双向链表”作为双向队列的底层数据结构。 如图 5-8 所示，我们将双向链表的头节点和尾节
Javaalgoalgorithmalgorithms - geekxh/hello-algorithm
geekxh/hello-algorithm
36,074在 GitHub 上查看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.
Provides instructional guides for implementing and understanding core data structures like linked lists, trees, and graphs.
Javaalgorithmsdynamic-programminginterview-questions - keon/algorithms
keon/algorithms
25,269在 GitHub 上查看This repository is a structured educational archive of classic computer science algorithms and data structures implemented in Python. It serves as a reference library designed for study and technical skill development, providing clean, readable examples of fundamental computational techniques rather than production-ready software components. The project distinguishes itself through its idiomatic approach, utilizing native language features and standard library conventions to demonstrate algorithmic logic clearly. Each implementation is organized into a hierarchical directory structure that mi
Data Structures — a named example documented in this learning resource.
Pythonalgorithmalgorithmscompetitive-programming
