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📊 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.

Contributions Welcome Open Source Love MIT License

📋 Table of Contents

🎯 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

  • C
  • C#
  • C++
  • Java
  • JavaScript
  • Python
  • R

🚀 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!

📜 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