🧠 Algorithm Collection - C0D1NG

A comprehensive collection of algorithms and data structures implemented in multiple programming languages. Perfect for learning, interview preparation, and contributing to open source!

C0D1NG is a community-driven organization dedicated to helping developers of all skill levels contribute to open source projects and improve their algorithmic problem-solving skills.

🎯 About

This repository serves as a comprehensive collection of algorithmic solutions and implementations. Whether you're:

• 🎓 Learning algorithms and data structures
• 💼 Preparing for technical interviews
• 🚀 Looking to contribute to open source
• 📖 Teaching algorithmic concepts

You'll find valuable resources here! Each algorithm is implemented with clear, well-documented code and follows best practices.

🗂️ Algorithm Categories

Our collection is organized into the following categories:

Category	Description	Languages Available
🔄 Backtracking	Solutions using backtracking approach	Python
⚡ Divide and Conquer	Algorithms that break problems into subproblems	C, C++, Java, JavaScript, Python
📈 Dynamic Programming	Optimization problems with overlapping subproblems	C++, Java, Python
🕸️ Graph Algorithms	Graph traversal, shortest paths, and graph theory	C++, Java, Python
🎯 Greedy Algorithms	Locally optimal choice algorithms	C++, Java, JavaScript, Python
🔍 Searching Algorithms	Various search techniques and optimizations	C, C++, Go, Java, Python, Ruby
📊 Sorting Algorithms	Different sorting techniques and their variations	C, C++, Java, Python, Ruby
🛠️ Others	Miscellaneous algorithms and problem solutions	Multiple languages

💻 Supported Languages

We welcome implementations in any programming language! Currently, our repository includes:

🚀 Getting Started

Prerequisites

• Git installed on your machine
• Your preferred programming language environment set up
• A text editor or IDE

Quick Start

1. Explore the repository structure:

   Algorithms/
   ├── Backtracking/
   ├── Divide and Conquer/
   ├── Dynamic Programming/
   ├── Graph/
   ├── Greedy/
   ├── Searching/
   ├── Sorting/
   └── Others/
   

2. Navigate to your area of interest:

   • Choose an algorithm category
   • Select your preferred programming language
   • Browse existing implementations or identify gaps to fill

🤝 How to Contribute

We welcome contributions from developers of all experience levels! Here's how you can get involved:

🍴 Step 1: Fork the Repository

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

📥 Step 2: Clone Your Fork

git clone https://github.com/YOUR_USERNAME/Algorithms.git
cd Algorithms

🌿 Step 3: Create a Feature Branch

git checkout -b feature/algorithm-name-language
# Example: git checkout -b feature/binary-search-python

� Step 4: Implement Your Algorithm

• Navigate to the appropriate category folder
• Create or choose the language subfolder
• Add your implementation with a descriptive filename
• Follow our naming convention: yourname_algorithm_name.extension

✅ Step 5: Test Your Code

Ensure your implementation:

• Compiles/runs without errors
• Handles edge cases appropriately
• Includes example usage (if applicable)

📝 Step 6: Commit Your Changes

git add .
git commit -m "Add [Algorithm Name] implementation in [Language]"

� Step 7: Push and Create Pull Request

git push origin feature/algorithm-name-language

Then create a pull request from your fork to our main repository.

📋 Contribution Guidelines

✨ What Makes a Good Contribution?

• Clear, readable code with appropriate comments
• Efficient implementations with good time/space complexity
• Proper error handling and edge case consideration
• Descriptive variable and function names
• Example usage when helpful

� File Naming Convention

yourname_algorithm_name.extension

Examples:

• alice_merge_sort.py
• bob_dijkstra_algorithm.cpp
• charlie_binary_search.java

📝 Code Documentation

Include at the top of your file:

"""
Algorithm: [Algorithm Name]
Author: [Your Name]
Description: [Brief description of what the algorithm does]
Time Complexity: O(?)
Space Complexity: O(?)
"""

🎨 Code Style

• Use consistent indentation (4 spaces preferred)
• Follow language-specific conventions
• Add meaningful comments for complex logic
• Include docstrings/comments explaining the algorithm
• Test your code before submitting

🌟 Featured Implementations

Some examples of well-implemented algorithms in our collection:

• Merge Sort: Efficient divide-and-conquer sorting algorithm
• Dijkstra's Algorithm: Shortest path finding in graphs
• Dynamic Programming Solutions: Optimized recursive problem solving
• Binary Search: Efficient searching in sorted arrays

👥 Community

Join our vibrant community of developers and algorithm enthusiasts!

🏆 Contributors

We appreciate all our contributors! Check out our Contributors page to see the amazing people who have helped build this collection.

🤔 Need Help?

• 📢 Join our Telegram community
• � Create an issue for bugs or questions
• 💡 Start a discussion for ideas

📄 License

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

🎉 Ready to Contribute?

1. ⭐ Star this repository for future reference
2. 🍴 Fork the repository to your account
3. 🔧 Pick an algorithm to implement or improve
4. 📝 Submit your pull request
5. 🚀 Become part of the open source community!

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� Don't forget to star this repository if you find it helpful! ⭐

Made with ❤️ by the C0D1NG community