Learning LibGDX Game Development. Wield the power of the LibGDX framework to create a cross-platform game

Suryakumar B Nair, Andreas Oehlke

Oracle Application Express 4.0 with Ext JS. Deliver rich desktop-styled Oracle APEX applications using the powerful Ext JS JavaScript library

Mark Lancaster

Modern web-based applications are moving rapidly away from simple HTML pages, with users expecting desktop styled rich internet applications. Oracle Application Express includes multiple built-in interfaces especially designed for adding JavaScript libraries and components. Ext JS is a polished, high performance set of customizable UI widgets with a well designed and extensible Component model. Combining Ext JS components with the well engineered server side processing provided by Oracle APEX is a recipe for success. Written by Oracle ACE, Mark Lancaster, this book is a complete practical guide to building robust desktop-styled web applications using Oracle Application Express and the powerful Ext JS JavaScript library This book starts off by setting up a productive environment for Oracle APEX and Ext JS, preparing you to get ready to code, and then gradually introducing you to the Ext JS API. You then create a theme based on Ext JS into APEX from scratch, starting with integrating the Ext JS library into the page template, then covering all the template types. You further enrich your interface by integrating Ext JS form components and Ext JS layout elements. You are shown how to integrate components including tab panels, toolbars and menus. Existing components are also enhanced, transforming select lists into auto-completing combo boxes and text-areas auto-sizing as you type.Using exciting new Plug-ins feature, you will learn how to develop custom APEX components that can be used declaritively. This book extends native APEX functionality by integrating Ext JS widgets and components with integrated server-side JavaScript generation, AJAX processing and validation.The book then covers integrating Plug-ins with APEX provided Dynamic Actions JavaScript. You proceed further to build advanced interactive components using AJAX enabled trees and grids. Then you will see how to use the iFrames component along with page templates to build a multi-page interface and also deal with JavaScript communication between iFrames. Finally, you will integrate Ext JS with jQuery using the Ext jQuery adaptor. This book also covers examples of jQuery functionality interacting with Ext JS. By the end of this book you will also learn to improve the performance of your JavaScripts.

Unreal Development Kit Game Programming with UnrealScript: Beginner's Guide. Create games beyond your imagination with the Unreal Development Kit

Rachel Cordone

Unreal Development Kit is the free edition of Unreal Engine—the largest game engine in existence with hundreds of shipped commercial titles. The Unreal Engine is a very powerful tool for game development but with something so complex it's hard to know where to start.This book will teach you how to use the UnrealScript language to create your own games with the Unreal Development Kit by using an example game that you can create and play for yourself. It breaks down the UnrealScript language into easy to follow chapters that will quickly bring you up to speed with UnrealScript game programming.Unreal Development Kit Game Programming with UnrealScript takes you through the UnrealScript language for the Unreal Development Kit. It starts by walking through a project setup and setting up programs to write and browse code. It then takes you through using variables, functions, and custom classes to alter the game's behavior and create our own functionality. The use and creation of Kismet is also covered. Later, using replication to create and test multiplayer games is discussed. The book closes with code optimization and error handling as well as a few of the less common but useful features of UnrealScript.

Apple Watch App Development. Click here to enter text

Steven F. Daniel

With the increasing amount of new wearable devices hitting the market, wearables are the next wave of mobile technology. With the release of Apple's WatchKit SDK, a whole new world of exciting development possibilities hasopened up.Apple Watch App Development introduces you to the architecture and limitations of the Apple Watch platform, followed by an in-depth look at how to work with Xcode playgrounds. Here, we'll introduce you to the Swift programming language so you can quickly begin developing apps for the Apple Watch platform with the WatchKit framework and the Xcode Development IDE. We then discuss more advanced topics such as Notifiations, Glances, Closures, Tuples, Protocols, Apple pay, and using Swift playgrounds, with each concept backed up with example code that demonstrates how to properly execute it. We also show you how to package and deploy your Watch application to the Apple AppStore.By the end of this book, you will have a good understanding of how to develop apps for Apple Watch platform using the WatchKit framework and Swift 2.0.

Applied Machine Learning for Healthcare and Life Sciences Using AWS. Transformational AI implementations for biotech, clinical, and healthcare organizations

Ujjwal Ratan

While machine learning is not new, it's only now that we are beginning to uncover its true potential in the healthcare and life sciences industry. The availability of real-world datasets and access to better compute resources have helped researchers invent applications that utilize known AI techniques in every segment of this industry, such as providers, payers, drug discovery, and genomics.This book starts by summarizing the introductory concepts of machine learning and AWS machine learning services. You’ll then go through chapters dedicated to each segment of the healthcare and life sciences industry. Each of these chapters has three key purposes -- First, to introduce each segment of the industry, its challenges, and the applications of machine learning relevant to that segment. Second, to help you get to grips with the features of the services available in the AWS machine learning stack like Amazon SageMaker and Amazon Comprehend Medical. Third, to enable you to apply your new skills to create an ML-driven solution to solve problems particular to that segment. The concluding chapters outline future industry trends and applications.By the end of this book, you’ll be aware of key challenges faced in applying AI to healthcare and life sciences industry and learn how to address those challenges with confidence.

Mastering Go. Leverage Go's expertise for advanced utilities, empowering you to develop professional software - Fourth Edition

Mihalis Tsoukalos

Mastering Go, now in its fourth edition, remains the go-to resource for real-world Go development. This comprehensive guide delves into advanced Go concepts, including RESTful servers, and Go memory management. This edition brings new chapters on Go Generics and fuzzy Testing, and an enriched exploration of efficiency and performance. As you work your way through the chapters, you will gain confidence and a deep understanding of advanced Go topics, including concurrency and the operation of the Garbage Collector, using Go with Docker, writing powerful command-line utilities, working with JavaScript Object Notation (JSON) data, and interacting with databases.You will be engaged in real-world exercises, build network servers, and develop robust command-line utilities. With in-depth chapters on RESTful services, the WebSocket protocol, and Go internals, you are going to master Go's nuances, optimization, and observability. You will also elevate your skills in efficiency, performance, and advanced testing.With the help of Mastering Go, you will become an expert Go programmer by building Go systems and implementing advanced Go techniques in your projects.

An Ethical Guide to Cyber Anonymity. Concepts, tools, and techniques to protect your anonymity from criminals, unethical hackers, and governments

Kushantha Gunawardana

As the world becomes more connected through the web, new data collection innovations have opened up more ways to compromise privacy. Your actions on the web are being tracked, information is being stored, and your identity could be stolen. However, there are ways to use the web without risking your privacy. This book will take you on a journey to become invisible and anonymous while using the web.You will start the book by understanding what anonymity is and why it is important. After understanding the objective of cyber anonymity, you will learn to maintain anonymity and perform tasks without disclosing your information. Then, you’ll learn how to configure tools and understand the architectural components of cybereconomy. Finally, you will learn to be safe during intentional and unintentional internet access by taking relevant precautions.By the end of this book, you will be able to work with the internet and internet-connected devices safely by maintaining cyber anonymity.

Python Machine Learning By Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition

Yuxi (Hayden) Liu

Python Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML).With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements.At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries.Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP.By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems.