Clean Code • Strong Fundamentals • Interview Ready
This repository contains well-structured implementations of core Data Structures and Algorithms in Java.
✨ Focus:
- Writing clean and readable code
- Understanding time & space complexity
- Building strong problem-solving skills
- Variables & Data Types
- Control Flow
- Methods
- Basic OOP Concepts
- Traversal techniques
- Searching methods
- Common problem patterns
- Complexity analysis
- Character manipulation
- Pattern-based problems
- Efficient traversal
- Linear Search
- Binary Search
- ⏱ Complexity comparison:
O(n)vsO(log n)
- Bubble Sort
- Selection Sort
- Insertion Sort
- Internal working & optimization
- Base case design
- Recursive thinking
- Stack memory behavior
- Singly Linked List
- Doubly Linked List
- Insertion & Deletion
- Reversal techniques
- Array & Linked List implementation
- LIFO principle
- Applications:
- Expression evaluation
- Undo operations
- Array & Linked List implementation
- FIFO principle
- Circular Queue & Deque
- Bitwise Operators:
AND,OR,XOR,NOT,Shift - Tricks:
- Check even/odd
- Power of 2
- Set/Unset bits
- Performance optimizations
- Introduction to Hashing
- Frequency Counting
- HashMap Basics in Java
- HashSet Basics in Java
- Key-Value Mapping
- Fast Lookup Operations
- Time Complexity of HashMap (
O(1)average case)
✔ Write logic before coding
✔ Focus on clarity over clever tricks
✔ Analyze time & space complexity
✔ Organize solutions topic-wise
Build a strong foundation in DSA to:
- Crack technical interviews 💼
- Become a better problem solver 🧩
- Prepare for backend development 🚀
- Add advanced topics (Trees, Graphs, DP)
- Include real interview questions
- Add visual explanations
If you find this helpful, consider giving it a ⭐ on GitHub!
💡 Consistency > Motivation