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Langille A: A Gamer's Introduction to
Programming with MonoGame

A Gamer's Introduction to Programming with MonoGame

Welcome Brave Adventurer!

The Art of Collecting Books

Tsundoku

Machine Learning For Dummies

Cognitive Approaches in Cloud and Edge Computing.

Foundations, Challenges and Opportunities

Deep Learning Models towards Health Informatics Management

Artificial Intelligence in Cybersecurity for Banking and Finance

Artificial Intelligence for Smart Internet of Things Applications

Quantum Machine Learning

Data Analytics for Sustainability

In this new and improved fourth edition of the highly popular Game Engine Architecture, Jason Gregory draws on his two decades of experience at Midway, Electronic Arts and Naughty Dog to present both the theory and practice of game engine software development. In this book, the broad range of technologies and techniques used by AAA game studios are each explained in detail, and their roles within a real industrial-strength game engine are illustrated.The fourth edition offers the same comprehensive coverage of game engine architecture provided by previous editions, and this first volume covers essential concepts, techniques, tools, and the engine systems that form the core of every game engine.This book is intended to serve as an introductory text, but it also offers the experienced game programmer a useful perspective on aspects of game development technology with which they may not have deep experience. As always, copious references and citations are provided in this edition, making it an excellent jumping off point for those who wish to dig deeper into any particular aspect of the game development process.Key Features<ul> <li>Covers both the theory and practice of game engine software development</li> <li>Examples are grounded in specific technologies, but discussion extends beyond any particular engine or API</li> <li>Includes all mathematical background needed</li> <li>Comprehensive text for beginners and also has content for senior engineers</li> </ul>

Volume I, Foundations of Game Engine Development

Game Engine Architecture

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools-just as people do not need to know C++ or TypeScript to benefit from Microsoft Word. The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence

A Gamer's Introduction to Programming with MonoGame

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