If you are new to Unreal Engine and always wanted to script an RPG, you are this book’s target reader. The lessons assume you understand the conventions of RPG games and have some awareness of the basics of using the Unreal editor to build levels.

In a role-playing game (RPG), users control a character, usually in the game's imaginary universe. Unity has become a top choice for developers looking to create these kinds of immersive RPGs.Building an RPG with Unity 2018, based on building some of the most common RPG features, teaches you tips, tricks, and techniques that can be applied to your own game.To start with, the book guides you through the fundamentals of role-playing games. You will learn the necessary aspects of building an RPG, such as structuring the game environment, customizing characters, controlling the camera, and designing other attributes such as inventory and weapons. You will also explore designing game levels by adding more features. Once you have understood the bigger picture, you will understand how to tackle the obstacles of networking in Unity and implement multiplayer mode for your RPG games.By the end of the book, you will be able to build upon the core RPG framework elements to create your own immersive games.

This book is for those who want to create an FPS game in Unity and gain knowledge on how to customize it to be their very own. If you are familiar with the basics of Unity, you will have an easier time, but it should make it possible for someone with no prior experience to learn Unity at an accelerated pace.

Provides a high-level design for a thorough optimizer, code generator, scheduler, and register allocator for a generic modern RISC processor. Also addresses the small issues that have a large impact on this implementation

Unlock the power of APIs with expert guidance and techniques for successfully creating, testing, and maintaining products that align with customers and stand out in the market Key Features Understand the complete API product lifecycle, from planning to implementation, release, and maintenance Design and support API products that distinguish themselves on the market by meeting user needs Implement actionable techniques for developing, testing, and secu

Journey through hope, despair, and forgiveness Leaders cannot predict the complex challenges they are called on to face. Veteran consultants Joan McArthur-Blair and Jeanie Cockell show that Appreciative Inquiry (AI) is an invaluable tool to build resilience.

This book is for .NET Core developers who want to learn and understand microservices architecture and implement it in their .NET Core applications. It’s ideal for developers who are completely new to microservices or have just a theoretical understanding of this architectural approach and want to gain a practical perspective in order to better manage application complexity.

Improve your app development skills by building a ChatGPT clone, code bug fixer, quiz generator, translation app, email auto-reply, PowerPoint generator, and more Key Features Transition into an expert AI developer by mastering ChatGPT concepts, including fine-tuning and integrations Gain hands-on experience through real-world projects covering a wide range of AI applications Implement payment systems in your applications by integrating the ChatGPT AP

Key Features Bored of too much theory on TensorFlow? This book is what you need! Thirteen solid projects and four examples teach you how to implement TensorFlow in production. This example-rich guide teaches you how to perform highly accurate and efficient numerical computing with TensorFlow It is a practical and methodically explained guide that allows you to apply Tensorflow’...(展开全部)

Machine learning allows systems to learn things without being explicitly programmed to do so. Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with Python addresses recent developments in the field by covering the most-used datasets and libraries to help you build practical machine learning systems.Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python, being a dynamic language, allows for fast exploration and experimentation. This book shows you exactly how to find patterns in your raw data. You will start by brushing up on your Python machine learning knowledge and being introduced to libraries. You'll quickly get to grips with serious, real-world projects on datasets, using modeling and creating recommendation systems. With Building Machine Learning Systems with Python, you’ll gain the tools and understanding required to build your own systems, all tailored to solve real-world data analysis problems.By the end of this book, you will be able to build machine learning systems using techniques and methodologies such as classification, sentiment analysis, computer vision, reinforcement learning, and neural networks.