📊 Data Structures Collection

Welcome to the Data Structures section of C0D1NG! This repository is a comprehensive collection of data structure implementations and algorithms across multiple programming languages.

📋 Table of Contents

• About
• Data Structures Available
• Supported Languages
• Getting Started
• How to Contribute
• Repository Structure
• Guidelines
• Community

🎯 About

This repository contains implementations of fundamental data structures and their associated algorithms. Whether you're a beginner learning data structures or an experienced developer looking for reference implementations, this collection has something for everyone.

Goals:

• 📚 Provide clear, well-documented implementations
• 🌍 Support multiple programming languages
• 🎓 Help students and developers learn data structures
• 🤝 Foster open-source collaboration

📊 Data Structures Available

Data Structure	Description	Languages Available
Array	Linear data structure with fixed size	C, C++, Java, JavaScript, Python
AVL Tree	Self-balancing binary search tree	C, JavaScript
B-Tree	Self-balancing tree for databases	C, C++
Binary Search Tree	Ordered binary tree for efficient searching	C, C#, C++, Java, JavaScript, Python
Binary Tree	Hierarchical tree data structure	C, C#, C++, Java, Python
Graph	Network of connected nodes	C, C#, C++, Java, Python
Heap	Complete binary tree (Min/Max heap)	C, C#, C++, Python
Linked List	Dynamic linear data structure	C, C++, Java, JavaScript, Python
Matrix	2D array operations and algorithms	C, C++
Queue	FIFO (First In, First Out) data structure	C, C++, Java, JavaScript, Python
Red Black Tree	Self-balancing binary search tree	C++
Segment Tree	Tree for range queries	Java
Sorting	Various sorting algorithms	C
Stack	LIFO (Last In, First Out) data structure	C, C#, C++, Java, JavaScript, Python
String	String manipulation algorithms	C, C++, Java, JavaScript, Python, R
Others	Advanced data structures and algorithms	C++, Java, Python

💻 Supported Languages

• 
• 
• 
• 
• 
• 
• 

🚀 Getting Started

Prerequisites

• Git installed on your machine
• A code editor (VS Code, IntelliJ, etc.)
• Compiler/interpreter for your chosen language

Quick Start

# Clone the repository
git clone https://github.com/C0D1NG/Programming.git

# Navigate to Data Structures directory
cd Programming/Data-Structures

# Choose a data structure and language
cd Array/Python

# Run any implementation
python3 sumOfArray.py

🤝 How to Contribute

We welcome contributions from everyone! Here's how you can get started:

1. 🍴 Fork the Repository

Click the "Fork" button at the top right of this repository to create your own copy.

2. � Clone Your Fork

git clone https://github.com/YOUR_USERNAME/Programming.git
cd Programming/Data-Structures

3. 🌿 Create a New Branch

git checkout -b feature/your-feature-name

4. 💻 Make Your Changes

• Add new implementations
• Fix bugs
• Improve documentation
• Add test cases

5. 💾 Commit Your Changes

git add .
git commit -m "Add: [Language] implementation of [Data Structure/Algorithm]"

6. � Push to Your Fork

git push origin feature/your-feature-name

7. 🔄 Create a Pull Request

Go to your fork on GitHub and click "New Pull Request".

📁 Repository Structure

Data-Structures/
├── Array/
│   ├── C/
│   ├── C++/
│   ├── Java/
│   ├── JavaScript/
│   └── Python/
├── Binary Tree/
│   ├── C/
│   ├── C++/
│   └── ...
└── README.md

Each data structure has:

• Language-specific folders containing implementations
• Multiple approaches to solve the same problem
• Clear naming conventions for easy identification

� Guidelines

Code Quality

• Write clean, readable code
• Include comments explaining complex logic
• Use meaningful variable names
• Follow language-specific conventions

File Naming

• Use descriptive names: bubble_sort.py, binary_search.cpp
• Include your username if desired: username_algorithm.ext
• Avoid spaces in filenames

Documentation

• Add header comments explaining the algorithm
• Include time and space complexity
• Provide usage examples

Example Template

"""
Algorithm: Binary Search
Author: YourName
Time Complexity: O(log n)
Space Complexity: O(1)
Description: Searches for target element in sorted array
"""

def binary_search(arr, target):
    # Implementation here
    pass

🌟 What You Can Contribute

• ✅ New data structure implementations
• ✅ Algorithm optimizations
• ✅ Bug fixes
• ✅ Documentation improvements
• ✅ Test cases
• ✅ Code reviews
• ✅ Language translations
• ✅ Performance benchmarks

🎊 Recognition

Contributors will be:

• Listed in our Contributors file
• Acknowledged in release notes
• Featured in our community highlights

🌐 Community

Join our growing community of developers!

• � Telegram: C0D1NG Community
• 🐛 Issues: Report bugs or request features
• 📧 Discussions: Share ideas and get help

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

Thanks to all contributors who have helped build this comprehensive collection of data structures!

---

🚀 Start Contributing Today!

1. Pick a data structure you're interested in
2. Choose your preferred programming language
3. Implement an algorithm or improve existing code
4. Submit your pull request
5. Join our community of open-source contributors!

Happy Coding! 👨‍💻👩‍💻

---

Made with ❤️ by the C0D1NG community