A structured and well-organized collection of Data Structures, Algorithms, and Problem-Solving Patterns designed for coding interviews and GATE preparation.
This repository is built as a complete DSA learning system, not just a collection of problems.
Core data structures and implementations:
- Arrays, Linked List, Stack, Queue
- Heap, Trees
- Sorting Algorithms
Reusable problem-solving techniques:
- Sliding Window
- Two Pointers
- Prefix Sum
- Binary Search
- Hashing
- Monotonic Stack
- Recursion & Backtracking
- Greedy, Divide & Conquer
- Merge Intervals, Fast & Slow Pointers
Advanced algorithms and deeper concepts:
- Dynamic Programming
- Graph Algorithms
- Advanced Trees
- String Algorithms
- Tries, Segment Trees, Disjoint Set
Mathematical foundations for problem solving:
- GCD / LCM
- Prime Numbers & Sieve
- Number Theory
- Conversions
Quick revision notes:
- Time Complexity
- Sorting Summary
- STL Cheat Sheet
- Pattern Summary
Interview-focused preparation:
- Common Questions
- Mistakes to Avoid
- Problem Solving Approach
Each problem and concept focuses on:
- Clear understanding
- Pattern recognition
- Optimized solutions
- Clean and readable C++ code
- Strengthen DSA fundamentals
- Master problem-solving patterns
- Build interview confidence
- Prepare for technical interviews and GATE
- Language: C++
- Focus: Efficiency, clarity, and structured thinking
Unlike random problem collections, this repository is:
- Structured (Foundation → Pattern → Advanced)
- Focused on concept clarity
- Designed for real interview preparation
- Start with Foundations
- Move to Patterns
- Practice Advanced topics
- Revise using CheatSheets
- Prepare mindset using Interview Notes
This repository is continuously evolving as part of my learning journey. The goal is not just to solve problems, but to understand and organize them effectively.
⭐ If you find this useful, feel free to explore and learn along!