☕ Java Journey

Welcome to Java Journey! 🚀 This repository documents my complete roadmap to mastering Java. I am tracking my progress from absolute programming basics, diving deep into Data Structures & Algorithms (DSA), and ultimately designing complex, scalable software architectures from scratch.

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🎯 Repository Goals

• Build a strong foundation in core Java programming.
• Master Data Structures and Algorithms (DSA) to solve complex computational problems efficiently.
• Apply advanced concepts like Design Patterns, Multithreading, and System Design to build enterprise-level architecture.

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🗺️ Learning Roadmap

Phase 1: Java Basics & OOPs

• Syntax & Basics: Variables, Data Types, Operators, I/O
• Control Flow: If-Else, Switch, Loops (For, While, Do-While)
• Functions/Methods: Scope, Pass by Value, Method Overloading
• Arrays: 1D, 2D, and Multidimensional Arrays
• Object-Oriented Programming (OOP):
  • Classes & Objects
  • Inheritance & Polymorphism
  • Abstraction & Encapsulation
  • Interfaces & Abstract Classes
• Strings: String, StringBuilder, StringBuffer

Phase 2: Intermediate Java

• Exception Handling: Try-Catch, Throw/Throws, Custom Exceptions
• Java Collections Framework (JCF): List, Set, Map, Queue
• Generics: Type safety and Custom Generic Classes
• File I/O: Reading and Writing files

Phase 3: Data Structures (DSA)

• Linear Data Structures:
  • Linked Lists (Singly, Doubly, Circular)
  • Stacks
  • Queues (Simple, Circular, Priority, Deque)
• Non-Linear Data Structures:
  • Hash Tables & Hash Maps
  • Trees (Binary Tree, Binary Search Tree, AVL)
  • Trie (Prefix Tree)
  • Graphs (Adjacency Matrix/List, BFS, DFS)
• Advanced Data Structures: Heaps, Disjoint Set (Union-Find)

Phase 4: Algorithms (DSA)

• Complexity Analysis: Time (Big O) & Space Complexity
• Searching Algorithms: Linear Search, Binary Search
• Sorting Algorithms: Bubble, Selection, Insertion, Merge, Quick, Heap Sort
• Two Pointers & Sliding Window
• Recursion
• Backtracking: N-Queens, Sudoku Solver, Subset Generation
• Greedy Algorithms
• Dynamic Programming (DP): - [ ] Memoization (Top-Down)
  • Tabulation (Bottom-Up)
  • Knapsack, LCS, LIS, Pathfinding

Phase 5: Advanced Java & Architecture

• Multithreading & Concurrency: Threads, Runnable, Synchronization, Executors
• Java 8+ Features: Lambdas, Streams API, Optional
• Database Connectivity: JDBC, Hibernate/JPA basics
• Design Patterns: Singleton, Factory, Observer, Strategy, Builder
• System Design Basics: Scalability, Load Balancing, Caching
• Complex Architecture: Building a scalable backend system (e.g., using Spring Boot)

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💻 How to Run the Code

1. Clone the repository:

   git clone [https://github.com/Deekshant-codes/java-journey.git](https://github.com/Deekshant-codes/java-journey.git)

2. Open the project in your preferred IDE (IntelliJ IDEA, Eclipse, or VS Code).

3. Navigate to the specific topic folder.

4. Run the main method of the respective .java file.