Wydawca: K-i-s-publishing
Dr. Edward Lavieri Jr.
Amazon’s Lumberyard is a 3D cross-platform game development engine for building high-quality AAA games. It makes the process of creating multi-player games and adding realistic characters, stunning terrains, and special effects much faster and more efficient.This book will show you how to use Lumberyard to create a multiplayer 3D game with cloud computing, storage, and Twitch integration for user engagement. We will start with an introduction to Lumberyard and provide an overview of its capabilities and integration options. Once the game engine is installed, we’ll guide you through the creation of an immersive game world with characters. You’ll add animations and audio to bring the game to life. We’ll explore external interactions to support live multiplayer game play, data storage, user engagement, and the back end.By the end of the book, you will be efficient in building cross-platform games using Lumberyard.
John Krahenbuhl
If you are a user experience professional, designer, information architect, or business analyst who wants to gain interactive prototyping skills with Axure, then this book is ideal for you. Some familiarity with Axure is preferred but not essential.
Riccardo Becker
Learning DocumentDB adopts a practical, step-by-step approach to help you learn the basics of DocumentDB and use your new-found abilities in real-life scenarios and enterprise solutions.We start with the absolute basics, such as setting up a DocumentDB environment, and guide you through managing your databases, and executing simple and complex queries. Next, we explain how to work with DocumentDB using the open REST protocol, and demonstrate how JavaScript works with DocumentDB. We’ll also show you how to authenticate and execute queries. Moving on, you’ll find out how to use DocumentDB from within Node.js to kick-start your Node.js projects. Next, you’ll discover how to increase the performance of your DocumentDB database and fine-tune it. Finally, you’ll get to grips with using DocumentDB in conjunction with other services offered from the Microsoft Azure platform.
Learning Azure Functions. Build scalable cloud systems with serverless architecture
Manisha Yadav, Mitesh Soni
Functions help you easily run small pieces of code in cloud with Azure functions without worrying about a whole application or the infrastructure to run it. With Azure functions, you can use triggers to execute your code and bindings to simplify the input and output of your code. This book will start with the basics of Azure Functions. You will learn the steps to set up the environment and the tools that we will be using in the further chapters. Once you have a better understanding of this, we will be creating our first hello world function app. Later you will be introduced to triggers, how they are used to activate a function, and how binding can be used to output results of a function.You will also explore the steps to create an assembly with complex functionality that can be used by functions. Next, this book will teach you to scale your functions and use them to process data, integrate systems, and build simple APIs and microservices. Finally, this book will cover some diagnostic techniques with Azure App services and best practices of working with Azure Functions. By the end of this book, you will be well-versed with the techniques of scaling your Azure functions and making the most of serverless architecture.
Hari Manassery Koduvely
Bayesian Inference provides a unified framework to deal with all sorts of uncertainties when learning patterns form data using machine learning models and use it for predicting future observations. However, learning and implementing Bayesian models is not easy for data science practitioners due to the level of mathematical treatment involved. Also, applying Bayesian methods to real-world problems requires high computational resources. With the recent advances in computation and several open sources packages available in R, Bayesian modeling has become more feasible to use for practical applications today. Therefore, it would be advantageous for all data scientists and engineers to understand Bayesian methods and apply them in their projects to achieve better results.Learning Bayesian Models with R starts by giving you a comprehensive coverage of the Bayesian Machine Learning models and the R packages that implement them. It begins with an introduction to the fundamentals of probability theory and R programming for those who are new to the subject. Then the book covers some of the important machine learning methods, both supervised and unsupervised learning, implemented using Bayesian Inference and R.Every chapter begins with a theoretical description of the method explained in a very simple manner. Then, relevant R packages are discussed and some illustrations using data sets from the UCI Machine Learning repository are given. Each chapter ends with some simple exercises for you to get hands-on experience of the concepts and R packages discussed in the chapter.The last chapters are devoted to the latest development in the field, specifically Deep Learning, which uses a class of Neural Network models that are currently at the frontier of Artificial Intelligence. The book concludes with the application of Bayesian methods on Big Data using the Hadoop and Spark frameworks.
Learning BeagleBone. Learn how to love and care for your BeagleBone and teach it tricks
Hunyue Yau
This book is for new BeagleBone owners who are looking to quickly get their microboard up and running. It would be helpful to have an understanding of embedded concepts or Linux but neither is essential.
Learning Beaglebone Python Programming. Unleash the potential of BeagleBone using Python
Alexander C Hiam
If you have experience with the Python language and are interested in getting started with electronics, then BeagleBone Black is the perfect platform for you and this book will provide you with the information you need.
Enrique Javier A Rubio
This book is ideal for any JavaScript developer who is interested in producing well-tested code. If you have no prior experience with testing, Node.js, or any other tool, do not worry, as they will be explained from scratch.