Algorithm Learning

This repository is dedicated to teaching algorithms in Java and helping with interview preparation effectively.

Welcome to the "Algorithm Learning and Interview Preparation in Java" repository! This project aims to help you develop a strong foundation in algorithms and data structures using Java, specifically tailored for acing technical interviews in the software engineering field. Whether you're a beginner or an experienced developer looking to sharpen your skills, this repository provides a structured learning path and a collection of well-explained Java code examples for various algorithms.

• Getting Started
• Topics Covered
• Contributing
• License

Before diving into this repository, ensure you have the following prerequisites installed on your system:

• Java Development Kit (JDK) - This project is Java-based, so you'll need a JDK to compile and run the code.
• A code editor or integrated development environment (IDE) of your choice, such as Eclipse, IntelliJ IDEA, or Visual Studio Code.

1. Clone the repository to your local machine using Git:

   git clone https://github.com/poshakjaiswal/algo.git

2. Open the project in your chosen IDE or code editor.

3. Explore the project structure and start working through the algorithm examples in the src directory.

This repository covers a wide range of algorithmic concepts and data structures commonly encountered in technical interviews. Here's an overview of some of the topics you'll find:

• Sorting Algorithms:

  • Bubble Sort
  • Selection Sort
  • Insertion Sort
  • Merge Sort
  • Quick Sort

• Searching Algorithms:

  • Linear Search
  • Binary Search

• Data Structures:

  • Arrays
  • Linked Lists
  • Stacks
  • Queues
  • Hash Tables
  • Trees (Binary Search Trees, AVL Trees)
  • Heaps
  • Graphs

• Dynamic Programming:

  • Fibonacci Series
  • Longest Common Subsequence
  • Knapsack Problem
  • ...and more!

• Greedy Algorithms

• Backtracking Algorithms

• Divide and Conquer

• Advanced Topics:

  • Red-Black Trees
  • B-Trees
  • Graph Algorithms (DFS, BFS, Dijkstra's, etc.)
  • NP-Hard Problems

Feel free to explore the provided code examples, explanations, and challenges. This repository is continually evolving, and contributions are welcome.

Contributions to this repository are highly encouraged! If you have additional algorithms, improvements, or explanations to share, please follow these steps:

1. Fork the repository.
2. Create a new branch for your contribution: git checkout -b feature/new-algorithm.
3. Make your changes and commit them: git commit -m 'Add new algorithm'.
4. Push your changes to your fork: git push origin feature/new-algorithm.
5. Create a pull request with a clear description of your contribution.

This project is licensed under the MIT License. Feel free to use, modify, and share this content as long as you provide proper attribution.

Happy coding and best of luck with your algorithm learning and interview preparation journey! If you have questions or need assistance, don't hesitate to open an issue or reach out to the repository's maintainers.

Poshak Jaiswal

#For formatting in intellij https://github.com/google/google-java-format/blob/master/README.md#intellij-jre-config