Data Structures and Algorithms

This repository is designed to be a comprehensive resource for anyone looking to master data structures and algorithms, whether you are a beginner or an advanced coder preparing for competitive programming or technical interviews.

Contents

1. Data Structures

• Arrays
• Linked Lists
• Stacks
• Queues
• Trees (Binary Trees, Binary Search Trees, AVL Trees, etc.)
• Heaps
• Hash Tables
• Graphs

2. Algorithms

• Sorting (Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, etc.)
• Searching (Linear Search, Binary Search, etc.)
• Graph Algorithms (BFS, DFS, Dijkstra's Algorithm, Kruskal's Algorithm, etc.)
• Dynamic Programming
• Greedy Algorithms
• Divide and Conquer
• Backtracking
• Recursion

3. Practice Problems

• A collection of problems categorized by difficulty (Easy, Medium, Hard)
• Solutions with explanations
• Sample test cases

4. Interview Preparation

• Commonly asked DSA questions in technical interviews
• Tips and tricks for solving problems efficiently
• Mock interview questions and solutions