Data Structures and Algorithms

A comprehensive collection of data structures and algorithms implementations with interactive web demonstrations.

📁 Project Structure

Data Structures and Algorithms/
├── Java/                    # Java implementations (coming soon)
├── Javascript/              # JavaScript implementations with web UI
│   ├── Binary Search Algorithm/
│   ├── Bubble Sort Algorithm/
│   ├── Hash Table (Map)/
│   ├── Linked List Implementation/
│   ├── Queue Data Structure/
│   └── Stack Data Structure/
└── Python/                  # Python implementations (coming soon)

🚀 JavaScript Implementations

Each JavaScript implementation includes:

• HTML file: Interactive web interface
• CSS file: Styling and visual presentation
• JS file: Core algorithm/data structure logic

Available Implementations

Data Structure/Algorithm	Description	Files
Binary Search	Efficient search algorithm for sorted arrays	binarysearch.html, binarysearch.css, binarysearch.js
Bubble Sort	Simple comparison-based sorting algorithm	bubblesort.html, bubblesort.css, bubblesort.js
Hash Table	Key-value pair data structure with O(1) access	hashtable.html, hashtable.css, hashtable.js
Linked List	Dynamic linear data structure	linkedlist.html, linkedlist.css, linkedlist.js
Queue	FIFO (First In, First Out) data structure	queue.html, queue.css, queue.js
Stack	LIFO (Last In, First Out) data structure	stack.html, stack.css, stack.js

🎯 How to Use

JavaScript Implementations

1. Navigate to any JavaScript implementation folder
2. Open the .html file in your web browser
3. Interact with the web interface to test the data structure/algorithm

Example: Running Stack Implementation

# Navigate to the Stack folder
cd "Javascript/Stack Data Structure"

# Open in browser (Windows)
start stack.html

🛠️ Features

• Interactive Web Interface: Visual demonstrations of each data structure
• Multiple Language Support: Implementations planned for Java, JavaScript, and Python
• Educational Focus: Clear, well-commented code for learning purposes
• Responsive Design: Web interfaces work across different screen sizes

📚 Learning Objectives

This project helps you understand:

• Fundamental data structures (Stack, Queue, Linked List)
• Basic sorting algorithms (Bubble Sort)
• Implementation differences across programming languages
• Interactive visualization of algorithms

🔮 Future Enhancements

• Complete Java implementations
• Complete Python implementations
• Add more sorting algorithms (Quick Sort, Merge Sort)
• Implement tree data structures (Binary Tree, BST)
• Add graph algorithms
• Include time/space complexity analysis

🤝 Contributing

Feel free to contribute by:

1. Adding new data structures or algorithms
2. Improving existing implementations
3. Enhancing the web interfaces
4. Adding documentation

📄 License

This project is for educational purposes.