DSA -- Data Structure and Algorithm Learning in JavaScript
Welcome to the DSA repository! This repository is designed to help you understand and implement fundamental Data Structures and Algorithms (DSA) using JavaScript. Whether you're a beginner or looking to solidify your knowledge, this repository aims to guide you through the core concepts and practical applications of DSA in coding. Table of Contents
About
The DSA repository is a collection of essential data structures and algorithms, implemented and explained in JavaScript. From array traversals to complex sorting algorithms, this repository is designed to support learners in mastering DSA concepts for coding interviews, competitive programming, or academic purposes. Features
Modular JavaScript Code: Each algorithm and data structure is implemented in JavaScript, with a focus on readability and modularity.
Conceptual Documentation: Clear explanations accompany each code file, helping you understand the purpose, time complexity, and space complexity.
Examples & Test Cases: Each function is provided with example input and output cases to aid understanding.
Beginner-Friendly: Well-structured code and documentation to help even absolute beginners get started with DSA.
Getting Started
Clone the repository:
git clone https://github.com/Mohammadhoseinbaba/DSA.git cd DSA
Explore the code: Open any of the files to see the algorithms and data structures implemented in JavaScript.
Run the code: Make sure you have Node.js installed on your system.
node path/to/yourFile.js
Learn & Experiment: Tweak the code, add your test cases, and try new variations!
DSA/
├── README.md
├── Arrays/
│ ├── array_traversal.js
│ ├── binary_search.js
│ └── ...more
├── LinkedLists/
│ ├── singly_linked_list.js
│ ├── doubly_linked_list.js
│ └── ...more
├── Trees/
│ ├── binary_tree.js
│ ├── binary_search_tree.js
│ └── ...more
├── Sorting/
│ ├── bubble_sort.js
│ ├── quick_sort.js
│ └── ...more
└── ...other data structures and algorithms
Each folder is dedicated to a specific data structure or category of algorithms. Inside each file, you will find the code for the DSA concept, along with detailed comments explaining the logic, usage, and complexity.
Concepts Covered
Array Traversals and Searching: Basic traversals, binary search, linear search
Linked Lists: Singly and doubly linked lists, insertion, deletion, traversal
Stacks and Queues: Implementation, usage, and practical applications
Trees and Graphs: Binary trees, binary search trees, tree traversals, and basic graph algorithms
Sorting Algorithms: Bubble sort, selection sort, quicksort, mergesort, and more
Recursion: Basics of recursion, recursive algorithms, and common problems
Note: Each file includes explanations for both the approach and the complexity analysis.
Contributing
Contributions are welcome! If you would like to contribute to this repository by adding new algorithms, improving code structure, or enhancing documentation, please follow these steps:
Fork the repository
Create a new branch for your feature or fix:
git checkout -b feature/new-algorithm
Commit your changes with descriptive messages:
git commit -m "Add new sorting algorithm"
Push to the branch:
git push origin feature/new-algorithm
Create a Pull Request - We will review it and merge it if it aligns with the repository goals.
License
This repository is licensed under the MIT License. See the LICENSE file for more information.
Happy Coding and Learning!