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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