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This project is a comprehensive Java-based Data Structures and Algorithms (DSA) repository organized by topics like Arrays, Trees, Graphs, DP, and more. It includes clean, modular code for each concept and a bonus link to over 1000 curated DSA questions with detailed theory. Ideal for students and job seekers preparing for interviews or exams.

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📚 Java DSA Handbook

This repository is a structured collection of Java programs covering the complete spectrum of Data Structures and Algorithms (DSA). It serves as a go-to reference and learning tool for beginners and intermediate learners preparing for technical interviews, coding contests, or academic assignments.


📁 Project Structure

The project is organized into topic-wise directories, each containing Java source files demonstrating concepts, patterns, and problems.

.
├── App.java / App.class         # Entry point or test class
├── index.js                    # Optional front-end or visualization aid
├── Arrays/                     # Array operations & basics
├── Bits/                       # Bit manipulation techniques
├── DynamicProgramming/         # Classical DP problems (LIS, coin change, etc.)
├── Graph/                      # Directed, Undirected Graphs, Union-Find
├── Greedy/                     # Greedy approach and examples
├── HashMap/                    # HashMap use cases and methods
├── Heap/                       # Heap structure and its methods
├── LinkedList/                 # Linked List operations and patterns
├── Matrix/                     # 2D matrix problems and algorithms
├── Queue/                      # Queue operations and types
├── Recursion/                  # Recursive algorithms and backtracking
├── SearchingAndSorting/        # Classic search/sort techniques
├── Stack/                      # Stack implementation and usage
├── Tree/                       # BST, AVL, Binary & Generic Trees
└── Trie/                       # Prefix tree structure and methods

🛠️ Technologies Used

  • Language: Java
  • Tools: Any Java IDE (IntelliJ IDEA, VSCode, Eclipse)
  • Compilation: javac, java CLI or IDE run tools

🚀 How to Run

  1. Clone this repository:

    git clone https://github.com/your-username/java-dsa-handbook.git
    cd java-dsa-handbook
  2. Compile and run any file (e.g. App.java)

    javac App.java
    java App
  3. Or open the folder in your IDE and explore modules interactively.


🧠 Concepts Covered

Module Topics Included
Arrays Traversal, prefix sums, sliding window
Bits XOR, shifts, bit masking
Dynamic Programming LIS, Catalan, Coin Change, String Matching
Graph DFS, BFS, Union-Find, Adjacency list
Greedy Activity selection, Huffman coding basics
HashMap Frequency count, custom hashing
Heap Priority Queue, Min/Max Heaps
LinkedList Singly/Double LL, reversal, merging
Matrix Search in matrix, spiral traversal
Queue Linear & Circular Queues, Deque
Recursion Backtracking, subsequences, permutations
Searching & Sorting Binary search, merge/quick sort
Stack Balanced parentheses, infix to postfix
Tree BST, AVL, Binary Tree traversal, Generic Trees
Trie Prefix Tree creation, search, insertion

🎯 Who Should Use This?

  • 📘 Students preparing for DSA courses and college exams
  • 💼 Job seekers preparing for coding rounds in companies
  • 🧑‍💻 Developers refreshing core DSA fundamentals
  • 🏆 Competitive coders looking to organize solutions

📚 Bonus Resources

In addition to the code, this repository is supplemented with 1000+ curated DSA questions categorized by topic along with detailed theory notes.

📎 Access the complete DSA question bank & theory notes

This document is ideal for:

  • Interview preparation
  • Practice on LeetCode, GFG, etc.
  • Topic-wise revision and concept reinforcement

👨‍💻 Author

Udit Jain


About

This project is a comprehensive Java-based Data Structures and Algorithms (DSA) repository organized by topics like Arrays, Trees, Graphs, DP, and more. It includes clean, modular code for each concept and a bonus link to over 1000 curated DSA questions with detailed theory. Ideal for students and job seekers preparing for interviews or exams.

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