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Here you will get all java resources and help you to learn and master Java programming along with essential DSA concepts, preparing them for coding interviews and competitive programming. You can read the about Java from the below websites๐Ÿ‘‡๐Ÿ‘‡

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Java with Data Structures & Algorithms (DSA) โ˜•๐Ÿ“Š

Welcome to the Java with Data Structures and Algorithms (DSA) Course! ๐Ÿš€ This repository is designed to help learners master Java programming along with essential DSA concepts, preparing them for coding interviews and competitive programming.


Table of Contents ๐Ÿ“š


Introduction ๐ŸŽฏ

This course covers both Java programming and Data Structures & Algorithms (DSA). It is designed for beginners and intermediate learners who want to excel in software development, competitive programming, and technical interviews.


Why Learn Java & DSA? ๐Ÿค”

โœ… Java is Versatile โ€“ Used in web development, mobile apps, and enterprise applications.
โœ… Object-Oriented Programming (OOP) โ€“ Makes code reusable and maintainable.
โœ… DSA is Essential โ€“ Helps in solving complex problems efficiently.
โœ… High Demand in Jobs โ€“ Tech giants like Google, Amazon, and Microsoft test DSA skills in interviews.


Course Outline ๐Ÿ“–

The course is divided into two major sections: Java Programming and Data Structures & Algorithms (DSA).

๐ŸŸข Java Programming Basics

  • Introduction to Java
  • Setting Up Java & IDE (IntelliJ, Eclipse, VS Code)
  • Variables, Data Types, and Operators
  • Control Flow (if-else, switch-case)
  • Loops (for, while, do-while)
  • Functions and Recursion
  • Object-Oriented Programming (OOP)
    • Classes & Objects
    • Inheritance
    • Polymorphism
    • Encapsulation
    • Abstraction

๐ŸŸก Data Structures

  • Arrays & Strings
  • Linked Lists (Singly, Doubly, Circular)
  • Stacks & Queues
  • HashMaps & HashSets
  • Trees (Binary Trees, BST, AVL Trees)
  • Graphs (DFS, BFS, Dijkstra's Algorithm)
  • Heaps & Priority Queues
  • Trie Data Structure

๐Ÿ”ด Algorithms

  • Sorting Algorithms (Bubble Sort, Selection Sort, Merge Sort, Quick Sort)
  • Searching Algorithms (Linear Search, Binary Search)
  • Recursion & Backtracking
  • Dynamic Programming (Knapsack, Fibonacci, LCS)
  • Greedy Algorithms
  • Graph Algorithms (Dijkstraโ€™s, Floyd-Warshall, Kruskalโ€™s, Primโ€™s)

๐Ÿ”ฅ Interview Preparation & Competitive Programming

  • Coding Interview Questions
  • Time & Space Complexity Analysis
  • LeetCode, CodeChef, CodeForces Problem-Solving

Installation ๐Ÿ”ง

To run Java programs, install Java Development Kit (JDK).

Install JDK (Windows, macOS, Linux)

  • Download and install JDK from Oracle
  • Verify installation:
    java -version
    javac -version

Install an IDE (Recommended)

You can write Java code using:

Running Java Programs โ–ถ๏ธ

After writing a Java program, compile and execute it using:

javac HelloWorld.java
java HelloWorld

Example:

public class HelloWorld {
    public static void main(String[] args) {
        System.out.println("Hello, Java with DSA!");
    }
}

Learning Resources ๐Ÿ“–

Here are some great resources to learn Java & DSA:

Contributing ๐Ÿค

Contributions are welcome! Follow these steps to contribute:

  • Fork the repository.
  • Create a new branch (git checkout -b feature-branch).
  • Commit your changes (git commit -m "Added new topic").
  • Push to the branch (git push origin feature-branch).
  • Create a Pull Request.

License ๐Ÿ“œ

This course is open-source and distributed under the MIT License.

Author ๐Ÿ‘ค

Abhishek Singh

Github

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Here you will get all java resources and help you to learn and master Java programming along with essential DSA concepts, preparing them for coding interviews and competitive programming. You can read the about Java from the below websites๐Ÿ‘‡๐Ÿ‘‡

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