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Bücher von Jarred Capellman

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  • - Build a Multi-Platform 2D Game and Reusable Game Engine
    von Jarred Capellman & Louis Salin
    50,00 €

    Master the art of game creation with MonoGame-the cross-platform framework of choice for independent developers. Learn the various aspects needed to create your next game by covering MonoGame framework specifics, engine creation, graphics, patterns, and more.The MonoGame framework provides an incredible canvas for the programmer to create their next 2D game, and this book teaches you to make the most of it. You will start from the ground up, beginning with the basics of what MonoGame is, the pipeline, and then how to build a reusable game engine on top of the framework. You will deep dive into various components of each aspect of a game, including graphics, input, audio, and artificial intelligence. The importance of game tooling is also covered. By the end, you will have a mastery level of understanding of how to create a 2D game using MonoGame.With a fully functional 2D game, aspiring developers will have the ideal blueprint to tackle their next fully featured game. The material covered is applicable for almost any 2D game project ranging from side scrolling adventures to fighting games. What You Will LearnLearn to build a game with the MonoGame framework.Understand game engine architecture and how to build an engine onto the MonoGame framework.Grasp common design patterns used in game development and in fully featured engines, such as Unity. Who This Book Is ForBeginner to advanced MonoGame programmer would find this book helpful. The audience is expected to have a working knowledge of C#.

  • - Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
    von Jarred Capellman
    61,00 €

    With this book, you will learn to build ML.NET applications by exploring various machine learning models using C# code. You will cover basic to advanced level topics using step by step explanation and example-driven approach. You will learn about Integrating TensorFlow in ML.NET application to extend the capabilities of machine learning models.

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