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This repository contains Java implementations of common data structures and algorithms. It is intended to be used as a learning resource.

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DSA_Java

Welcome to DSA_Java, a repository dedicated to Java implementations of various data structures and algorithms. This repository serves as a learning resource for anyone looking to deepen their understanding of these fundamental concepts.

Table of Contents

  1. Overview
  2. Folder Structure
  3. Getting Started
  4. Contributing
  5. Visual Resources

Overview

DSA_Java provides clear, commented Java code for a range of data structures and algorithms. Each implementation is designed with educational purposes in mind, aiming to help learners grasp the mechanics and applications of these concepts.

Folder Structure

The repository is organized into folders based on different data structures and algorithmic concepts:

  • Arrays and ArrayLists: Fundamental operations on arrays and usage of ArrayLists.
  • HashMaps: Examples demonstrating efficient key-value operations using HashMaps.
  • HashSets: Usage scenarios and operations for storing unique elements with HashSets.
  • LinkedLists: Operations such as insertion, deletion, and reversal on linked lists.
  • Queues: Implementations and applications of queue data structures.
  • Stacks: Implementations and applications of stack data structures (LIFO operations).
  • Trees: Common algorithms for tree traversal (preorder, inorder, postorder, level order) and manipulation.

Getting Started

To begin using the code in this repository, clone it to your local machine using the following command:

git clone https://github.com/arnab-4/DSA_Java.git

Feel free to explore each folder to understand and modify the implementations as needed. Each folder contains its own README.md with additional details specific to that data structure or algorithm.

Contributing

Contributions are welcome and encouraged! If you have a new data structure or algorithm implementation to add, please follow these steps:

  1. Fork the repository.
  2. Create your feature branch (git checkout -b feature/new-algorithm).
  3. Commit your changes (git commit -am 'Add new algorithm: [algorithm name]').
  4. Push to the branch (git push origin feature/new-algorithm).
  5. Open a pull request.

Please ensure your code follows the established style and includes appropriate comments for clarity.

Visual Resources

The Vault folder contains helpful visuals, diagrams, or additional resources that aid in understanding the concepts covered in this repository.


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This repository contains Java implementations of common data structures and algorithms. It is intended to be used as a learning resource.

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