Data Structures and Algorithms (DSA) Practice Repository

Welcome to my Data Structures and Algorithms (DSA) practice repository! This repository contains a collection of DSA questions I have solved to improve my coding skills and algorithmic thinking. Whether you are a beginner looking to learn DSA or an experienced coder aiming to sharpen your skills, you'll find a variety of problems here to challenge yourself with.

Table of Contents

1. Introduction
2. Folder Structure
3. Getting Started
4. How to Contribute

Introduction

The world of software development often requires efficient problem-solving skills. DSA is the foundation of computer science and plays a crucial role in solving real-world programming challenges. This repository serves as a resource to help you practice and improve your DSA skills through solving a diverse set of problems.

Folder Structure

The repository is organized into folders, each containing solutions to specific DSA problems or categories. The structure looks like this:

├── Array
│   ├── problem1.cpp
│   ├── problem2.java
│   └── ...
├── LinkedList
│   ├── problem1.py
│   ├── problem2.cpp
│   └── ...
├── Sorting
│   ├── bubble_sort.js
│   ├── quick_sort.py
│   └── ...
├── ...
└── README.md

Feel free to explore the folders to find solutions to problems that interest you.

Getting Started

To start using this repository and improve your DSA skills:

1. Clone the repository: Use the following command to clone this repository to your local machine.

   git clone <repository-url>
   

2. Choose a problem: Browse through the folders and choose a DSA problem you want to solve.

3. Solve the problem: Create a new branch for your work, and start solving the problem in your preferred programming language.

4. Test your solution: Test your solution against different test cases to ensure correctness.

5. Submit your solution: Once you are confident in your solution, create a pull request to submit your code. Be sure to include a clear description of the problem and your approach.

6. Review and learn: Engage in code reviews, discuss alternative solutions, and learn from others' approaches to the same problem.

How to Contribute

Contributions are highly encouraged! If you want to add your solutions or improve existing ones, follow these steps:

1. Fork the repository: Click the "Fork" button in the top right corner of this repository's page.

2. Clone your fork: Clone your forked repository to your local machine using git clone.

3. Create a new branch: Create a new branch for your work with a descriptive name.

4. Add your solution: Add your solution to the appropriate folder, following the existing naming conventions.

5. Test your solution: Make sure your solution passes various test cases and is well-documented.

6. Commit and push: Commit your changes and push them to your fork on GitHub.

7. Create a pull request: Go to the original repository and create a pull request with a clear description of your changes.

8. Collaborate: Participate in discussions, address feedback, and work collaboratively to improve the solutions.