Blueprints Visual Scripting for Unreal Engine. Build professional 3D games with Unreal Engine 4's Visual Scripting system

Brenden Sewell

Blueprints Visual Scripting for Unreal Engine is a step-by-step approach to building a fully functional game, one system at a time. Starting with a basic First Person Shooter template, each chapter will extend the prototype to create an increasingly complex and robust game experience. You will progress from creating basic shooting mechanics to gradually more complex systems that will generate user interface elements and intelligent enemy behavior. Focusing on universally applicable skills, the expertise you will develop in utilizing Blueprints can translate to other types of genres.By the time you finish the book, you will have a fully functional First Person Shooter game and the skills necessary to expand on the game to develop an entertaining, memorable experience for your players.From making customizations to player movement to creating new AI and game mechanics from scratch, you will discover everything you need to know to get started with game development using Blueprints and Unreal Engine 4.

Getting Started with Hazelcast. Learn how to write rich, interactive web applications using HTML5 and CSS3 through real-world examples. In a world of proliferating platforms and devices, being able to create your own “go-anywhere” applications gives you a significant advantage

Mat Johns, Matthew Johns

Python Unlocked. Become more fluent in Python—learn strategies and techniques for smart and high-performance Python programming

Arun Tigeraniya

Python is a versatile programming language that can be used for a wide range of technical tasks—computation, statistics, data analysis, game development, and more. Though Python is easy to learn, it’s range of features means there are many aspects of it that even experienced Python developers don’t know about. Even if you’re confident with the basics, its logic and syntax, by digging deeper you can work much more effectively with Python – and get more from the language.Python Unlocked walks you through the most effective techniques and best practices for high performance Python programming - showing you how to make the most of the Python language. You’ll get to know objects and functions inside and out, and will learn how to use them to your advantage in your programming projects. You will also find out how to work with a range of design patterns including abstract factory, singleton, strategy pattern, all of which will help make programming with Python much more efficient. Finally, as the process of writing a program is never complete without testing it, you will learn to test threaded applications and run parallel tests. If you want the edge when it comes to Python, use this book to unlock the secrets of smarter Python programming.

PrestaShop Module Development. Develop and customize powerful modules for PrestaShop 1.5 and 1.6

Fabien Serny

Enhanced Test Automation with WebdriverIO. Unlock the superpowers of hybrid testing frameworks

Paul M. Grossman, Larry C. Goddard, Angie Jones

This book helps you embark on a comprehensive journey to master the art of WebdriverIO automation, from installation through to advanced framework development.You’ll start by following step-by-step instructions on installing WebdriverIO, configuring Node packages, and creating a simple test. Here you’ll gain an understanding of the mechanics while also learning to add reporting and screen captures to your test results to enhance your test case documentation. In the next set of chapters, you’ll delve into the intricacies of configuring and developing robust method wrappers, a crucial skill for supporting multiple test suites. The book goes beyond the basics, exploring testing techniques tailored for Jenkins as well as LambdaTest cloud environments. As you progress, you’ll gain a deep understanding of both TypeScript and JavaScript languages and acquire versatile coding skills.By the end of this book, you’ll have developed the expertise to construct a sophisticated test automation framework capable of executing an entire suite of tests using WebdriverIO in either TypeScript or JavaScript, as well as excel in your test automation endeavors and deliver reliable, efficient testing solutions.

Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet

Andrés P. Torres, Paul Newman

Explore the capabilities of the open-source deep learning framework MXNet to train and deploy neural network models and implement state-of-the-art (SOTA) architectures in Computer Vision, natural language processing, and more. The Deep Learning with MXNet Cookbook is your gateway to constructing fast and scalable deep learning solutions using Apache MXNet.Starting with the different versions of MXNet, this book helps you choose the optimal version for your use and install your library. You’ll work with MXNet/Gluon libraries to solve classification and regression problems and gain insights into their inner workings. Venturing further, you’ll use MXNet to analyze toy datasets in the areas of numerical regression, data classification, picture classification, and text classification. From building and training deep-learning neural network architectures from scratch to delving into advanced concepts such as transfer learning, this book covers it all. You'll master the construction and deployment of neural network architectures, including CNN, RNN, LSTMs, and Transformers, and integrate these models into your applications.By the end of this deep learning book, you’ll wield the MXNet and Gluon libraries to expertly create and train deep learning networks using GPUs and deploy them in different environments.

Python Data Visualization Cookbook. As a developer with knowledge of Python you are already in a great position to start using data visualization. This superb cookbook shows you how in plain language and practical recipes, culminating with 3D animations

Igor Milovanovic

Today, data visualization is a hot topic as a direct result of the vast amount of data created every second. Transforming that data into information is a complex task for data visualization professionals, who, at the same time, try to understand the data and objectively transfer that understanding to others. This book is a set of practical recipes that strive to help the reader get a firm grasp of the area of data visualization using Python and its popular visualization and data libraries.Python Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts.Python Data Visualization Cookbook starts by showing you how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. During the book, we go from simple plots and charts to more advanced ones, thoroughly explaining why we used them and how not to use them. As we go through the book, we will also discuss 3D diagrams. We will peep into animations just to show you what it takes to go into that area. Maps are irreplaceable for displaying geo-spatial data, so we also show you how to build them. In the last chapter, we show you how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python.This book will help those who already know how to program in Python to explore a new field – one of data visualization. As this book is all about recipes that explain how to do something, code samples are abundant, and they are followed by visual diagrams and charts to help you understand the logic and compare your own results with what is explained in the book.

Sakai CLE Courseware Management: The Official Guide. Take your e-learning, research, and collaboration experience to the next level

Alan Mark Berg, Ian Dolphin, Sakai Foundation, Sakai Foundation (Project)

Sakai is a Collaboration and Learning environment that provides the means to manage users, courses, instructors, and facilities, as well as a spectrum of tools including assessment, grading, and messaging. Sakai is loaded with many handy features and tools, which make it uniquely the Learning system of the present as well as the future.This book is the officially endorsed Sakai guide and is an update to the previous book, Sakai Courseware Management: The Official Guide. From setting up and running Sakai for the first time to creatively using its tools and features, this book delivers everything you need to know.Written by Alan Berg, a Sakai fellow and former Quality Assurance Director of the Sakai Foundation and Ian Dolphin the Executive Director of the Sakai Foundation with significant contributions from the Sakai community, Sakai CLE Courseware Management: The Official Guide is a comprehensive study of how Sakai CLE should be used, managed, and maintained, with real world examples and practical explanations.The book opens with an overview of Sakai, its history and how to set up a demonstration version. Next, the underlying structures and tools are described. In using Sakai for Teaching and Collaboration, there is a detailed discussion of how to structure online courses for teaching and collaboration between groups of students, from creating course sites to understanding their use in different organizations around the world.