Data Structures and Algorithms (DSA)

Welcome to the Data Structures and Algorithms (DSA) repository. This repository contains implementations of various data structures and algorithms in different programming languages, along with explanations and usage examples.

Table of Contents

1. Introduction
2. Data Structures
3. Algorithms
4. Setup and Installation
5. Usage
6. Contributing
7. License

Introduction

This repository aims to provide a comprehensive collection of data structures and algorithms, implemented in various programming languages. Whether you're a student, developer, or simply interested in learning more about DSA, you'll find useful resources and code samples here.

Data Structures

The following data structures are implemented in this repository:

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

Each data structure folder contains:

• An implementation file.
• A README file with explanations and usage examples.
• Unit tests to ensure the correctness of the implementation.

Algorithms

The following algorithms are implemented in this repository:

Sorting Algorithms

• Bubble Sort
• Insertion Sort
• Selection 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* Search Algorithm

Other Algorithms

• Dynamic Programming (e.g., Fibonacci, Knapsack Problem)
• Greedy Algorithms (e.g., Coin Change Problem, Activity Selection)
• Divide and Conquer Algorithms (e.g., Merge Sort, Quick Sort)

Each algorithm folder contains:

• An implementation file.
• A README file with explanations and usage examples.
• Unit tests to ensure the correctness of the implementation.

Setup and Installation

To use the code in this repository, follow these steps:

1. Clone the repository: bash git clone https://github.com/samantsu01/ds-and-a.git cd dsa-repository

2. Install dependencies (if any):

   • For Java, you might need to set up a Java Development Kit (JDK).
   • For Python, you might need to create a virtual environment and install required packages: bash python -m venv venv source venv/bin/activate pip install -r requirements.txt

Usage

To run any data structure or algorithm, navigate to the respective directory and run the implementation file. For example, to run the insertion sort implementation in Java: