Welcome to the DSA Implementation repository! This repository contains Python implementations of various data structures and algorithms. The purpose of this repository is to provide a resource for learning and reference.

Table of Contents Introduction Data Structures Algorithms Installation Usage Contributing License Introduction This repository aims to provide a comprehensive collection of data structures and algorithms implemented in Python. Whether you are a beginner or an experienced developer, you can use these implementations to enhance your understanding of DSA concepts and improve your coding skills.

Data Structures The following data structures are implemented in this repository:

Arrays Linked Lists Stacks Queues Hash Tables Trees Binary Trees Binary Search Trees AVL Trees Red-Black Trees Graphs Adjacency List Adjacency Matrix Heaps Min Heap Max Heap Tries Algorithms The following algorithms are implemented in this repository:

Sorting Algorithms Bubble Sort Selection Sort Insertion Sort Merge Sort Quick Sort Heap Sort Searching Algorithms Linear Search Binary Search Graph Algorithms Depth-First Search (DFS) Breadth-First Search (BFS) Dijkstra's Algorithm A* Algorithm Dynamic Programming Fibonacci Sequence Knapsack Problem Longest Common Subsequence (LCS) Greedy Algorithms Kruskal's Algorithm Prim's Algorithm Backtracking N-Queens Problem Sudoku Solver