AlgoExpert.io

Welcome to the AlgoExpert.io project! This repository contains implementations of some of the most popular algorithms and data structures, helping you prepare for coding interviews and improve your algorithmic problem-solving skills.

Table of Contents

• Introduction
• Features
• Getting Started
• Algorithms and Data Structures
• Contributing
• License
• Acknowledgements

Introduction

The AlgoExpert.io project aims to provide a comprehensive collection of algorithm and data structure implementations. Whether you're preparing for a technical interview or looking to enhance your understanding of computer science concepts, this repository offers valuable resources and examples.

Features

• Comprehensive Implementations: Includes a wide range of algorithms and data structures.
• Well-Documented Code: Each implementation is thoroughly documented with comments and explanations.
• Example Usage: Provides example usage for each algorithm and data structure.
• Easy Navigation: Organized directory structure for easy navigation and access to specific implementations.

Getting Started

To get started with the project, follow these steps:

1. Clone the Repository:

   git clone https://github.com/Sunagatov/AlgoExpert.io.git
   cd AlgoExpert.io

Explore the Code

Browse through the directories to find the implementations of various algorithms and data structures.

Run Examples

Follow the instructions in each directory to run example usage and test the implementations.

Algorithms and Data Structures

The repository includes implementations for the following categories:

• Sorting Algorithms: Bubble Sort, Quick Sort, Merge Sort, etc.
• Searching Algorithms: Binary Search, Depth-First Search, Breadth-First Search, etc.
• Data Structures: Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables, etc.
• Dynamic Programming: Examples of dynamic programming problems and solutions.

Contributing

Contributions are welcome! If you have an algorithm or data structure that you would like to add, please follow these steps:

1. Fork the repository
2. Create a new branch
3. Commit your changes
4. Push your changes to your branch
5. Create a pull request

Please ensure your code is well-documented and includes example usage.

License

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

Acknowledgements

• Special thanks to the contributors who have helped improve this project.
• Inspired by various algorithm and data structure resources available online.

For more information and resources, visit zufarexplainedit chat on Telegram.