SKitLs.Data.IO 2.1.0

SKitLs.Data.IO

README version: 24.VII

SKitLs.Data.IO aims to streamline data input and output processes by providing a unified and intuitive approach for reading from and writing to disk storage directly into the application's memory.

The library includes interfaces such as IReader and IWriter, which serve as the core components for handling data operations. These interfaces ensure flexibility and ease of use, making it simple to implement efficient data management solutions in various applications. By abstracting the complexity of data I/O, SKitLs.Data.IO enables developers to focus on the essential functionality of their software, ensuring robust and high-performance data handling.

Contents

• Setup
• Usage
• Contributors
• License
• Developer contact
• Notes

Setup

Installation

1. Using Terminal Command:

   To install the project using the terminal command, follow these steps:

   1. Open the terminal or command prompt.
   2. Run command:

   dotnet add package SKitLs.Data.IO
   

2. Using NuGet Packages Manager:

   To install the project using the NuGet Packages Manager, perform the following steps:

   1. Open your preferred Integrated Development Environment (IDE) that supports NuGet package management (e.g., Visual Studio).
   2. Create a new project or open an existing one.
   3. Select "Project" > "Manage NuGet Packages"
   4. In the "Browse" tab, search for the project package you want to install.
   5. Click on the "Install" button to add the selected package to your project.
   6. Follow any additional setup instructions or configurations provided in the project's documentation.

3. Downloading Source Code and Direct Linking:

   To install the project by downloading the source code and directly linking it to your project, adhere to the following steps:

   1. Visit the project repository on GitHub
   2. Click on the "Code" button and select "Download ZIP" to download the project's source code as a zip archive.
   3. Extract the downloaded zip archive to the desired location on your local machine.
   4. Open your existing project or create a new one in your IDE.
   5. Add the downloaded project files to your solution using the "Add Existing Project" option in your IDE's solution explorer.
   6. Reference the project in your solution and ensure any required dependencies are resolved.
   7. Follow any additional setup or configuration instructions provided in the project's documentation.

Please note that each method may have specific requirements or configurations that need to be followed for successful installation. Refer to the project's documentation for any additional steps or considerations.

Usage

To get up-to-dated usage examples, please visit wiki.

Contributors

Currently, there are no contributors actively involved in this project. However, our team is eager to welcome contributions from anyone interested in advancing the project's development.

We value every contribution and look forward to collaborating with individuals who share our vision and passion for this endeavor. Your participation will be greatly appreciated in moving the project forward.

Thank you for considering contributing to our project.

License

This project is distributed under the terms of the MIT License.

Copyright (C) 2024, SKitLs

Developer contact

For any issues related to the project, please feel free to reach out to us through the project's GitHub page. We welcome bug reports, feedback, and any other inquiries that can help us improve the project.

You can also contact the project owner directly via their GitHub profile at the following link or email: skitlsdev@gmail.com

Your collaboration and support are highly appreciated, and we will do our best to address any concerns or questions promptly and professionally. Thank you for your interest in our project.

Notes

Thank you for choosing our solution for your needs, and we look forward to contributing to your project's success.