Data Structures and Algorithms

This repository contains a collection of commonly used data structures and algorithms implemented in various programming languages. It serves as a resource for learning and understanding fundamental concepts in computer science and software development.

Table of Contents

• Introduction
• Folder Structure
• Contributing
• License

Introduction

Understanding data structures and algorithms is essential for building efficient and scalable software solutions. This repository aims to provide implementations of various data structures and algorithms to help developers deepen their understanding and enhance their problem-solving skills.

The repository covers a wide range of topics, including but not limited to:

• Array-based data structures (e.g., arrays, lists)
• Linked data structures (e.g., linked lists, stacks, queues)
• Trees (e.g., binary trees, AVL trees, heaps)
• Graphs (e.g., graph traversal algorithms, shortest path algorithms)
• Sorting and searching algorithms (e.g., bubble sort, merge sort, binary search)
• Dynamic programming algorithms
• Hashing and hash tables
• and more!

Each implementation includes detailed explanations and comments to facilitate understanding and make it easier to follow along. The code is organized into folders based on the programming language, allowing you to explore implementations in your preferred language.

Folder Structure

The repository is organized as follows:

/
├── cpp/
│   │   ├── array/
│   │   ├── linked_list/
│   │   ├── stack/
│   │   ├── queue/
│   │   ├── tree/
│   │   ├── graph/
│   │   ├── sorting/
│   │   ├── searching/
│   │   ├── dynamic_programming/
│   │   ├── hashing/
│   │   └── ...
│   └── ...
├── java/
│   └── ...
├── ...
└── README.md

The repository is organized by programming language, with each language having its own folder. Within each language folder, you'll find subfolders for different data structures and algorithms. These subfolders contain the respective implementation files.

Feel free to explore the repository and choose the language and topic of your interest to dive deeper into data structures and algorithms!

License

This repository is licensed under the MIT License. Feel free to use the code for educational purposes, personal projects, or any other applicable use cases. Refer to the license file for more information.