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.

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.

Our collection is organized into the following categories:

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

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

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

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

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

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

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

• 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

Ensure your implementation:

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

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

git push origin feature/algorithm-name-language

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

• 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

yourname_algorithm_name.extension

Examples:

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

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(?)
"""

• 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

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

Join our vibrant community of developers and algorithm enthusiasts!

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

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

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

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!