Welcome to the Data Structures repository! Here you will find detailed explanations, opinions, and insights on various data structures, organized by category. This repository is intended for both beginners and experienced professionals looking to enhance their knowledge.
This repository is dedicated to the study and understanding of data structures. Each structure is explained in detail, with practical examples and use cases. Here, you will find not only implementations but also performance analysis and best practices for each data structure.
Lists are ordered collections of elements. In this repository, we explore:
- Singly Linked Lists
- Doubly Linked Lists
- Circular Lists
Stacks follow the LIFO (Last In, First Out) principle. Here, we discuss:
- Implementations using arrays and linked lists
- Practical applications
- Complexity analysis
Queues follow the FIFO (First In, First Out) principle. We include:
- Simple Queues
- Priority Queues
- Circular Queues
Trees are hierarchical structures. We study:
- Binary Trees
- Binary Search Trees
- AVL Trees
- B-Trees
Graphs represent relationships between pairs of elements. We analyze:
- Representations (Adjacency Matrix, Adjacency List)
- Search algorithms (BFS, DFS)
- Shortest path algorithms (Dijkstra, Floyd-Warshall)
Hash Tables are used for efficient key-value mapping. We cover:
- Hash functions
- Collision handling
- Applications
We welcome contributions! If you wish to add new explanations, improvements, or corrections, please follow these steps:
- Fork this repository.
- Create a branch for your changes:
git checkout -b feature/new-structure. - Open a pull request clearly describing the changes made and the motivation behind them.
Feel free to contribute your knowledge and help enrich this repository. Together, we can create a valuable resource for everyone interested in data structures!
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