Data Structures and Algorithms

Welcome to the Data Structures and Algorithms repository! This repository contains implementations of various data structures and algorithms in Python. Whether you're a student studying algorithms or a developer looking to refresh your knowledge, you'll find practical examples and explanations here.

Table of Contents

1. Data Structures

   • Lists, Stacks, Queues
   • Linked Lists, Doubly Linked Lists
   • Trees (Binary, BST), Heaps
   • Graphs (Directed, Undirected), Hash Tables

2. Algorithms

   • Sorting Algorithms: Bubble, Merge, Quick, etc.
   • Searching Algorithms: Binary, Linear, etc.
   • Recursion and Backtracking
   • Dynamic Programming, Greedy Algorithms
   • Graph Algorithms: BFS, DFS, Dijkstra, etc.

3. Contributions Contributions to this repository are encouraged! If you have additional algorithms to add, optimizations to suggest, or better explanations, feel free to open a pull request.

Getting Started

1. Clone the repository: git clone https://github.com/SouravGhosh98/data-structures-algorithms.git
2. Navigate to the project directory: cd data-structures-algorithm-
3. Explore the folders and files for implementations related to each data structure and algorithm.

Usage

1. Choose a specific data structure or algorithm folder.
2. Read the code comments and explanations for a better understanding.
3. Run the code examples to observe how they work.