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https://github.com/balaji-sivasakthi/self-learn-dsa-java

As an avid coder, I have put considerable effort into optimizing and refining these solutions. Benefit from my experience and take your coding skills to new heights.
https://github.com/balaji-sivasakthi/self-learn-dsa-java

algorithms-and-data-structures array dp dsa java math search

Last synced: 2 months ago
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As an avid coder, I have put considerable effort into optimizing and refining these solutions. Benefit from my experience and take your coding skills to new heights.

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README 

        
# Data Structures and Algorithms (DSA)



This repository is designed to help you enhance your problem-solving skills and master DSA concepts through a collection of well-crafted solutions to various coding problems.

## Overview

- [Basic](https://github.com/balaji-sivasakthi/self-learn-dsa-java/tree/main/Basics)

- [Array](https://github.com/balaji-sivasakthi/self-learn-dsa-java/tree/main/Array)

- [Searching](https://github.com/balaji-sivasakthi/self-learn-dsa-java/tree/main/Searching)

- [Sorting](https://github.com/balaji-sivasakthi/self-learn-dsa-java/tree/main/Sorting)

## Why DSA Practice Matters?



Data Structures and Algorithms form the backbone of computer science and software development. They are essential tools that empower you to write efficient and optimized code, leading to faster and more scalable applications. Whether you are preparing for coding interviews or looking to become a better programmer, practising DSA is crucial to your success.



## Repository Features



**Organized Structure**: The repository is organized into different folders, each representing a DSA topic or category. Inside each folder, you'll find a curated list of problems related to that topic.



**Detailed Solutions**: Each problem solution is thoroughly explained, with code examples and step-by-step walkthroughs of the thought process behind the solution.



**Time Complexity Analysis**: For each solution, we provide an analysis of its time and space complexity, helping you understand the efficiency of the algorithms.



**Contributions Welcome**: We believe in community-driven learning! You are encouraged to contribute your own solutions or suggest improvements to existing ones. Just open a pull request and let's learn together!



**Challenges**: From easy to advanced, the problems here offer a wide range of difficulty levels to challenge and expand your skills.



## Getting Started



1. **Clone the Repository**: Start by cloning this repository to your local machine using the following command:



      ```bash

      git clone https://github.com/balaji-sivasakthi/self-learn-dsa-java.git

      ```



2. **Explore the Folders**: Browse through the folders to find various DSA topics such as arrays, linked lists, sorting algorithms, dynamic programming, and more.



3. **Pick a Problem**: Select a problem from a topic that interests you, and open the corresponding solution file to understand the approach and code implementation.



4. **Contribute**: If you have a different or more optimized solution, or if you want to add a new problem, feel free to contribute! Fork the repository, make your changes, and submit a pull request.



5. **Learn and Collaborate**: Engage with the community by discussing problems, asking questions, or sharing your insights in the Issues section. Let's learn and grow together!



## Keep in Touch



Stay updated with the latest additions and community discussions:



- Follow me on [GitHub](https://github.com/balaji-sivasakthi)

- Connect with me on [LinkedIn](https://www.linkedin.com/in/balajisivasakthi)



## Happy Coding! 🚀💻



Embark on this exciting journey of DSA practice and take your coding skills to new heights. Let's learn, collaborate, and celebrate the joy of problem-solving!