☕ Complete Java Language with Data Structures & Algorithms

📖 Master Java Programming and ace coding interviews with 300+ questions covering all major topics asked by top companies.

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📚 Topics Covered

🟢 Basics of Java

• 📝 Variables & Data Types — Learn input, output, variables & data types in Java.
• ➗ Operators — Integral part of Java, used in almost all programs.
• 🔀 Conditional Statements — Learn how to implement logic in code.
• 🔄 Loops — Repeat tasks efficiently with minimal code.
• 🎨 Patterns — Create beautiful and complex patterns using nested loops.
• ⚙️ Functions & Methods — Reusable blocks of code.
• 📦 Arrays — Your first data structure in Java.
• 📊 Sorting Algorithms — Learn multiple sorting techniques.
• 🗂️ 2D Arrays — Handle tabular data efficiently.
• 🔤 Strings — Work with text and sequences of characters.
• 💡 Bit Manipulation — Dive into the world of 0s and 1s.
• 🏗️ Object-Oriented Programming (OOP) — Learn OOP concepts that apply to Java and beyond.

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🔄 Recursion & Problem-Solving Techniques

• ♻️ Recursion — Solve problems by breaking them into smaller instances.
• ✂️ Divide & Conquer — Break problems into sub-problems and solve step-by-step.
• 🔙 Backtracking — Find all possible solutions using recursion.

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🛠️ Advanced Data Structures

• 📋 ArrayLists — Dynamic arrays in Java.
• 🔗 Linked List — Linear data storage without fixed memory allocation.
• 📚 Stacks — LIFO (Last In First Out) principle.
• 📬 Queues — FIFO (First In First Out) principle.
• 💰 Greedy Algorithms — Choose the best option at each step.
• 🌳 Binary Trees — Hierarchical data structure.
• 🌲 Binary Search Trees — Fast search and insertion.
• ⛰️ Heaps — Complete binary tree structure for priority queues.
• 🗝️ Hashing — Learn HashSets & HashMaps.
• 📖 Tries — Efficient storage for strings.
• 🕸️ Graphs — Represent relationships between data.

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🧠 Advanced Algorithms

• 🧮 Dynamic Programming (DP) — Optimize solutions by storing subproblem results.
• 📏 Segment Trees — Store and query data over intervals.