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# 🚀 DSA in Java: Mastering Data Structures and Algorithms
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Welcome to **DSA in Java**, a comprehensive repository for learning and mastering **Data Structures and Algorithms (DSA)** through Java. This repository provides clean, optimized solutions to common DSA problems, making it a perfect resource for interview preparation, competitive programming, and building a strong coding foundation.
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---
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## 📚 Table of Contents
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- [About the Project](#about-the-project)
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- [Key Features](#key-features)
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- [Installation](#installation)
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- [Topics Covered](#topics-covered)
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- [Contribution Guidelines](#contribution-guidelines)
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- [Contact](#contact)
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---
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## 📖 About the Project
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This repository is designed to guide you through a structured journey of learning DSA concepts. It offers Java implementations of key data structures and algorithms, along with detailed explanations and complexity analyses.
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**Who is this for?**
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- Developers preparing for **coding interviews**.
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- Students or professionals wanting to strengthen their **DSA knowledge**.
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- Competitive programmers aiming to solve problems efficiently.
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- Anyone interested in writing **clean and optimized code**.
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---
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## ✨ Key Features
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- **Comprehensive Coverage**: All major data structures and algorithms, from basic to advanced.
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- **Java Implementations**: Each topic is implemented in Java with clear and readable code.
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- **Interview Focus**: Common problems asked in **top tech interviews** with solutions.
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- **Optimization Insights**: Analysis of time and space complexities for every solution.
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- **Hands-on Practice**: Solved problems from **LeetCode**, **GeeksforGeeks**, and **HackerRank**.
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---
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## ⚙️ Installation
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Follow these steps to set up the project locally:
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1. **Clone the repository**:
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```bash
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git clone https://github.com/rajendrapancholi/dsa_using_java.git
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```
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2. **Navigate into the project directory**:
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```bash
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cd DSA-Java
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```
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3. **Run the Java files** using your favorite IDE or through the command line:
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```bash
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javac FileName.java
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java FileName
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```
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---
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## 💻 Topics Covered
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This repository covers the following DSA topics in detail:
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1. Arrays
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2. Linked Lists
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3. Stacks & Queues
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4. Trees (BST, AVL)
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5. Hashing
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6. Sorting & Searching Algorithms
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7. Graph Algorithms (BFS, DFS)
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8. Dynamic Programming
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9. Recursion & Backtracking
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10. Heaps & Priority Queues
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---
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## 🛠️ Contribution Guidelines
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We welcome contributions! If you'd like to improve existing solutions, add new ones, or fix bugs, please consider the following steps:
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1. Fork the repository.
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2. Create a new branch (`git checkout -b feature/your-feature`).
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3. Make your changes and commit them (`git commit -m 'Add feature'`).
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4. Push to the branch (`git push origin feature/your-feature`).
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5. Open a pull request.
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---
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## 🤝 Contact
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For any queries or feedback, feel free to reach out:
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- **Rajendra Pancholi**: [rpancholi522@gmail.com](mailto:rpancholi522@gmail.com)
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- **GitHub**: [github.com/rajendrapancholi](https://github.com/rajendrapancholi/)
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- **Website**: [www.rajendrapancholi.com](https://rajendrapancholi.vercel.app/)
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- **LinkedIn**: [www.linkedin.com/in/rajendra-pancholi](https://www.linkedin.com/in/rajendra-pancholi-11a3a5286/)
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---
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Happy Coding Journey! 👨‍💻👩‍💻

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