Welcome to the Algorithmic Implementations in C#.NET 8 repository! This project aims to implement a comprehensive collection of the most essential algorithms using C#.NET 8. Whether you are a beginner looking to learn, a seasoned developer aiming to brush up on your algorithm skills, or a contributor wanting to share your knowledge, this repository is for you.
This repository is dedicated to providing high-quality implementations of various algorithms in C# .NET 8. Algorithms are fundamental to understanding computer science and improving problem-solving skills. They play a crucial role in software development, optimizing performance, and ensuring efficient code.
- Extensive Collection: Includes a wide range of algorithms categorized into searching, sorting, graph, dynamic programming, and more.
- Educational Resource: Each algorithm is implemented with clear, concise code, unit tests, accompanied by explanations and usage examples.
- Test-Driven: Every algorithm has corresponding unit tests to demonstrate correct usage and ensure reliability.
- Modular Structure: Organized folder structure for easy navigation and contribution.
Clone the repository:
git clone https://github.com/Hemmatiali/Algorithmic-Implementations-CSharp.NET8.git
cd Algorithmic-Implementations-CSharp.NET8
dotnet build
dotnet run
We welcome contributions from the community to make this repository a valuable resource for everyone. Here’s how you can contribute:
- Fork the Repository: Start by forking the repository to your GitHub account.
- Clone the Repository: Clone the forked repository to your local machine.
- Create a New Branch: Create a new branch for your feature or bug fix.
- Implement Your Changes: Add your algorithm implementation or improve existing ones.
- Write Tests: Ensure your algorithm has corresponding unit tests.
- Submit a Pull Request: Submit a pull request with a detailed description of your changes.
To get started with the algorithms, clone the repository and navigate to the Project
section to run the sample console application that demonstrates the usage of various algorithms.
This project is licensed under the MIT License - see the LICENSE file for details.