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https://github.com/abdullah-niaz/data-structure-algorithm

This repository is dedicated to learningDSA. It provides code examples and resources to help beginners and experienced developers improve their DSA skills. Explore the code and resources to enhance your understanding of DSA Principles. Happy learning!
https://github.com/abdullah-niaz/data-structure-algorithm

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This repository is dedicated to learningDSA. It provides code examples and resources to help beginners and experienced developers improve their DSA skills. Explore the code and resources to enhance your understanding of DSA Principles. Happy learning!

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README

          

# Data Structure & Algorithm

## Overview
Welcome to the **Data Structure & Algorithm** repository! This repository contains a collection of implementations, explanations, and solutions for various data structures and algorithms. It serves as a resource for learning, practicing, and improving problem-solving skills in competitive programming and technical interviews.

## Contents
The repository is organized into the following sections:

- **Arrays**
- **Linked Lists**
- **Stacks & Queues**
- **Recursion & Backtracking**
- **Sorting & Searching Algorithms**
- **Graph Algorithms**
- **Dynamic Programming**
- **Bit Manipulation**
- **Mathematical Algorithms**
- **Other Miscellaneous Topics**

Each section contains well-structured implementations, optimized solutions, and detailed explanations.

## Technologies Used
- **Programming Language:** Python, C++, Java
- **Tools & Libraries:** Standard libraries for respective languages

## How to Use
1. Clone the repository:
```bash
git clone https://github.com/Abdullah-Niaz/Data-Structure-Algorithm.git
```
2. Navigate to the directory:
```bash
cd Data-Structure-Algorithm
```
3. Open the respective folder to explore the implementations and solutions.

## Contribution
Contributions are welcome! If you find a bug, have suggestions, or want to add a new topic, feel free to open an issue or submit a pull request.

## Acknowledgments
This repository is inspired by various online resources, problem-solving platforms, and personal learning experiences. Special thanks to educators and competitive programmers for their valuable contributions to the field.