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12,604 result(s) for "Game Programming"
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Adventures in Minecraft
Offers aspiring Minecraft programmers step-by-step instructions on extending the game experience through programming projects that include building intelligent objects, creating alien invasions, and writing interactive games.
Lua Quick Start Guide
Lua is a small, powerful and extendable scripting / programming language that can be used for learning to program, writing games and applications or as an embedded scripting language. There are many popular commercial projects that allow you to modify or extend them trough Lua scripting, and this book will get you ready for that.
Game Programming Using Qt 5 Beginner's Guide
Qt is the leading cross-platform toolkit for all significant desktop, mobile, and embedded platforms and is becoming popular by the day, especially on mobile and embedded devices. It's a powerful tool that perfectly fits the needs of game developers. This book will help you learn the basics of Qt and will equip you with the necessary toolsets.
Code a Minecraft mod in JavaScript step by step
Minecraft is a global phenomenon, adored by millions of gamers, but what if Minecraft could teach vital computer literacy and programming skills? Simply put: It can. This engaging and informative resource is designed to guide coders on a journey to enjoy their favorite game while they learn the basics of JavaScript, which is one of the world's most popular programming languages. Starting off with brainteasers and working up to real coding, these fun and exciting activities will teach everything needed to know how to write a brand new mod.
Unity 2018 Augmented Reality Projects
Create engaging Augmented Reality (AR) applications with Unity 3D that can be experienced with devices such as HoloLens and Daydream Key Features * Learn the principles of AR application development * Work with the most popular sensors used in AR games and applications across Android, Apple and Windows * Build experiences with interactive objects, physics, UI, animations, and C# scripting Book Description Augmented Reality allows for radical innovations in countless areas. It magically blends the physical and virtual worlds, bringing applications from a screen into your hands. Meanwhile, Unity has now become the leading platform to develop augmented reality experiences, as it provides a great pipeline for working with 3D assets. Using a practical and project-based approach, Unity 2018 Augmented Reality Projects educates you about the specifics of augmented reality development in Unity 2018. This book teaches you how to use Unity in order to develop AR applications which can be experienced with devices such as HoloLens and Daydream. You will learn to integrate, animate, and overlay 3D objects on your camera feed, before gradually moving on to implementing sensor-based AR applications. In addition to this, you will explore the technical considerations that are especially important and possibly unique to AR. The projects in the book demonstrate how you can build a variety of AR experiences, whilst also giving insights into C# programming as well as the Unity 3D game engine via the interactive Unity Editor. By the end of the book, you will be equipped to develop rich, interactive augmented reality experiences for a range of AR devices and platforms using Unity. What you will learn * Build and run AR applications for specific headsets, including HoloLens and Daydream * Create 3D scenes with Unity and other 3D tools while learning about world space and scale * Move around your AR scenes using locomotion and teleportation * Create filters or overlays that work in tandem with facial recognition software * Use GPS, geolocation services, and the camera feed to create a fitness application * Integrate AR and VR concepts together in a single application Who this book is for Unity 2018 Augmented Reality Projects is for you if you're a game developer familiar with 3D computer graphics and interested in building your own AR games or applications. Any experience in Unity and C# is an advantage.
Understanding coding with Minecraft
\"Introduced in 2009, Minecraft has become an enormous success with gaming kids and adults. Users love exploring and building within Minecrafts mind-bogglingly large environments. This game allows users to practice STEM skills while having fun. One of it's greatest strengths is it's ability to teach coding principles with redstone blocks. These blocks can be used to make exciting machines and devices in Minecraft's virtual world. With this volume, readers will learn the logic and technology behind coding with Minecraft.\"--Provided by publisher.
Unity 2018 artificial intelligence cookbook : over 90 recipes to build and customize AI entities for your games with Unity
With the help of Artificial Intelligence, you can create engaging games consisting of intelligent enemies and intellectual behavior. Using Unity's API or built-in features allows limitless possibilities to create your game's worlds and characters. This cookbook covers essential techniques to help you take your game AI programming to the next level.
Arcade game typography : the art of pixel type
\"Arcade Game Typography' presents readers with a fascinating new world of typography - the pixel typeface. Video game designers of the 70s, 80s and 90s faced colour and resolution limitations that stimulated incredible creativity: with letters having to exist in an 8x8 square grid, artists found ways to create expressive and elegant character sets within a tiny canvas. Featuring pixel typefaces carefully selected from the first decades of arcade video games, 'Arcade Game Typography' presents a previously undocumented \"outsider typography\" movement, accompanied by insightful commentary from author Toshi Omagari, a Monotype typeface designer himself, and screenshots of the type in use. Exhaustively researched, this book gathers an eclectic typography from hit games such as Super Sprint, Pac-Man, After Burner, Marble Madness, Shinobi, as well as countless lesser-known gems. The book presents its typefaces on a dynamic and decorative grid, taking reference from high-end type specimens while adding a suitably playful twist. Unlike print typefaces, pixel type often has bold colour `baked in' to the characters, so Arcade Game Typography looks unlike any other typography book, fizzing with life and colour.\" -- Publisher's description
Learn Unity ML-Agents – Fundamentals of Unity Machine Learning
Transform games into environments using machine learning and Deep learning with Tensorflow, Keras, and Unity Key Features * Learn how to apply core machine learning concepts to your games with Unity * Learn the Fundamentals of Reinforcement Learning and Q-Learning and apply them to your games * Learn How to build multiple asynchronous agents and run them in a training scenario Book Description Unity Machine Learning agents allow researchers and developers to create games and simulations using the Unity Editor, which serves as an environment where intelligent agents can be trained with machine learning methods through a simple-to-use Python API. This book takes you from the basics of Reinforcement and Q Learning to building Deep Recurrent Q-Network agents that cooperate or compete in a multi-agent ecosystem. You will start with the basics of Reinforcement Learning and how to apply it to problems. Then you will learn how to build self-learning advanced neural networks with Python and Keras/TensorFlow. From there you move o n to more advanced training scenarios where you will learn further innovative ways to train your network with A3C, imitation, and curriculum learning models. By the end of the book, you will have learned how to build more complex environments by building a cooperative and competitive multi-agent ecosystem. What you will learn * Develop Reinforcement and Deep Reinforcement Learning for games. * Understand complex and advanced concepts of reinforcement learning and neural networks * Explore various training strategies for cooperative and competitive agent development * Adapt the basic script components of Academy, Agent, and Brain to be used with Q Learning. * Enhance the Q Learning model with improved training strategies such as Greedy-Epsilon exploration * Implement a simple NN with Keras and use it as an external brain in Unity * Understand how to add LTSM blocks to an existing DQN * Build multiple asynchronous agents and run them in a training scenario Who this book is for This book is intended for developers with an interest in using Machine learning algorithms to develop better games and simulations with Unity. The reader will be required to have a working knowledge of C# and a basic understanding of Python.