JS-DSA :: JavaScript Data Structures and Algorithms

JS-DSA is a comprehensive collection of data structures and algorithms implemented in JavaScript. This project is designed to be a helpful resource for developers, students, and anyone interested in learning about data structures and algorithms through practical JavaScript examples.

Table of Contents

• Installation
• Usage
• Practical Examples
• Contribution Details
• Code of Conduct
• Learning Resources
• License
• Developer Options

Installation

You can install JS-DSA using either npm or yarn. First, clone the repository to your local machine:

git clone https://github.com/pb2204/JS-DSA.git
cd JS-DSA

Using npm

npm install adv-dsa

Using yarn

yarn add adv-dsa

Usage

JS-DSA provides a wide range of data structures and algorithms. You can utilize them by importing the necessary classes into your JavaScript projects.

// Example of using a Stack from the data structures module
const Stack = require('adv-dsa').Stack;

const stack = new Stack();
stack.push(1);
stack.push(2);
stack.push(3);

console.log(stack.pop()); // Outputs: 3

For detailed information on how to use each data structure and algorithm, consult the LEARN.md document in this repository.

Practical Examples

Let's look at some practical examples of using JS-DSA classes:

Example 1: Binary Search

const binarySearch = require('adv-dsa').BinarySearch;

const sortedArray = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
const target = 5;

const index = binarySearch(sortedArray, target);
console.log(`Index of ${target} is ${index}`);

Example 2: QuickSort

const quickSort = require('adv-dsa').QuickSort;

const unsortedArray = [3, 6, 8, 10, 1, 2, 1];
const sortedArray = quickSort(unsortedArray);

console.log(sortedArray);

License

This project is open-source and available under the MIT License.

Contribution Details

For developers who want to contribute to this project or want to report issues, please refer to the CONTRIBUTING.md guide.

Code of Conduct

Please follow our Code of Conduct to foster an open and welcoming environment for everyone.

Learning Resources

Check out the LEARN.md file for learning resources related to data structures and algorithms.

Feel free to contribute, provide feedback, and help us improve this project for the community!

Developer Details

• Name :: Pabitra Banerjee
• Email :: Pabitra Banerjee
• GitHub :: Pabitra Banerjee

Happy Coding !!!