Data Structures and Algorithms Repository

Welcome to the Data Structures and Algorithms Repository! This repository aims to provide a comprehensive collection of data structures and algorithms implementations in various programming languages. Whether you're a beginner learning the fundamentals or an experienced developer looking to refresh your knowledge, this repository has something for you.

Table of Contents

1. Introduction
2. Getting Started
3. Data Structures
4. Algorithms
5. Contributing
6. License

Introduction

Data structures and algorithms are fundamental concepts in computer science and play a crucial role in solving complex problems efficiently. This repository aims to provide a practical and hands-on approach to learning and implementing various data structures and algorithms/Graphs.

Getting Started

To get started with this repository, follow these steps:

1. Clone the repository to your local machine using the following command:

2. Choose a programming language of your choice from the available folders (e.g., Python, Java, C++, etc.).

3. Explore the data structures and algorithms implementations provided in the respective language folders.

4. Dive into the code, study the implementation details, and try running the examples provided.

5. Experiment and modify the code to gain a better understanding of how the data structures and algorithms work.

6. Thanks for Using this repo.

Data Structures

The data-structures folder contains various implementations of common data structures such as arrays, linked lists, stacks, queues, trees, graphs, and hash tables. Each data structure is organized within its own folder and includes code files, along with explanations and usage examples.

Algorithms

The algorithms folder contains implementations of various algorithms, including sorting, searching, graph traversal, dynamic programming, and more. Each algorithm is organized within its own folder and includes code files, along with explanations and usage examples.

Contributing

Contributions to this repository are welcome and encouraged! If you would like to contribute to the repository, please follow these guidelines:

1. Fork the repository and create a new branch for your contribution.

2. Make your changes, whether it's adding new implementations, improving existing code, or fixing bugs.

3. Write clear and concise commit messages explaining the purpose of your changes.

4. Test your code thoroughly to ensure it works as expected.

5. Submit a pull request, clearly describing the changes you've made and providing any relevant information and relevant details.

License

This repository is licensed under the MIT License. You are free to use, modify, and distribute the code in this repository, as long as you include the original license file in your distribution.

Please note that while the code provided in this repository is carefully implemented and tested, it is always recommended to verify and test the code in your own development environment before using it in production.

Happy learning and coding!