SM-DataStructures Repository

Welcome to the SM-DataStructures repository! This repository is dedicated to learning and practicing various data structures commonly used in programming.

Table of Contents

• Overview
• Data Structures
• Contributing

Overview

This repository serves as a resource for understanding and implementing fundamental data structures. Whether you are new to programming or looking to refresh your knowledge, you'll find structured explanations and examples here.

Data Structures

The repository covers the following data structures:

1. Arrays: Basic arrays and dynamic arrays.
2. Linked Lists: Singly linked lists, doubly linked lists, and circular linked lists.
3. Stacks: Implementation of stacks using arrays and linked lists.
4. Queues: Implementation of queues using arrays and linked lists.
5. Trees: Binary trees, binary search trees (BST), AVL trees, and B-trees.
6. Graphs: Representation of graphs and common algorithms (DFS, BFS).
7. Hash Tables: Hash functions, collision handling (chaining, open addressing), and hash table implementations.
8. Heaps: Min heaps and max heaps.

Each data structure folder contains:

• Explanation of the data structure.
• Implementation examples in different programming languages (e.g., Python, Java).
• Code examples for common operations (insertion, deletion, traversal).
• Notes on time and space complexity considerations.

Contributing

Contributions to improve existing explanations, add new data structures, or provide additional examples are welcome! To contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes and commit them (git commit -m 'Add new data structure').
4. Push to the branch (git push origin feature-branch).
5. Create a new Pull Request.