Data Structures

This repository contains various data structures, implemented and studied by me. Each data structure is coded in three languages: C++, Python, and JavaScript, providing a comprehensive understanding and flexibility in different programming environments.

Table of Contents

• About
• Data Structures Covered
• Languages
• Installation
• Usage
• Contributing
• License

About

The purpose of this repository is to provide practical implementations of fundamental and advanced data structures. By showcasing them in C++, Python, and JavaScript, this repository serves as a valuable resource for developers looking to understand data structures across different languages and apply them in real-world applications.

Data Structures Covered

Here are some of the data structures that will be included in this repository:

• Basic Data Structures: Arrays, Linked Lists, Stacks, Queues
• Trees: Binary Trees, Binary Search Trees, AVL Trees, Red-Black Trees, Trie
• Graphs: Graph Representations, BFS, DFS, Dijkstra’s Algorithm, etc.
• Hashing: Hash Tables, Hash Maps
• Heaps: Min-Heap, Max-Heap, Priority Queue
• Others: Disjoint Sets, Bloom Filters, Segment Trees, etc.

Languages

This repository provides implementations in:

• C++: Known for its speed and system-level access, C++ provides efficient and optimized data structures.
• Python: With its clear syntax and readability, Python is ideal for illustrating the logic of each data structure.
• JavaScript: As a popular language for web development, JavaScript implementations are suitable for understanding data structures in front-end and back-end web applications.

Installation

To use the code in this repository, clone it to your local machine using the following command:

git clone https://github.com/your-username/data-structures.git
cd data-structures

Usage

Each data structure is organized by type and language in separate folders. For example:

data-structures/
├── C++/
│   ├── linked-list/
│   ├── stack/
│   └── queue/
├── Python/
│   ├── linked-list/
│   ├── stack/
│   └── queue/
└── JavaScript/
    ├── linked-list/
    ├── stack/
    └── queue/

Navigate to the folder for the language and data structure you want to explore. Each folder contains a README file describing the specifics of the implementation and examples of usage.

Contributing

Contributions are welcome! If you’d like to improve an existing implementation, add new data structures, or suggest enhancements, please follow these steps:

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

License

This repository is licensed under the MIT License. See the LICENSE file for details.

---

Feel free to personalize this text as needed and replace "your-username" with your actual GitHub username. This README should make your repository informative and accessible to other developers and contributors.