Professional and Applied Computing (R0)

The book is a comprehensive end-to-end guide on creating, building, and distributing .NET MAUI applications. As you walk through each new concept, .NET MAUI expert and Microsoft MVP Shaun Lawrence will show the concept's value and uses, and then have you apply it in a build-along application. You will work with this build-along application right up until you are ready to ship it to the relevant stores (e.g., App Store, etc.).

The underlying theme through the book is to explain a key concept, show how to implement it directly in order to reinforce your understanding, and then show potential simplifications (e.g., alternative libraries) that can help you reduce the complexities of an applications code base.

• Create a .NET MAUI application
• Apply commonly required techniques
• Apply more advanced techniques to make applications stand out
• Know what to consider when distributing applications to the relevant stores
• Take an application from concept through to production

Who This Book Is For

Developers who are new to .NET MAUI and cross-platform development. A basic knowledge of C# is required, but no prior knowledge using .NET MAUI is required. Experienced developers also will find the book useful as it covers topics key to modern day development (such as accessibility, performance, and distribution). Xamarin Forms developers will find the book useful as key features new to .NET MAUI that will aid in the migration from Xamarin Forms to .NET MAUI are explained.

This book will teach you fundamental mathematical concepts using Unity-based custom examples, explaining the implementations and demonstrating how these concepts are applied in building modern video game functionality. You will learn the theoretical foundation of each concept, and then interact, examine, and modify the implementation to inspect the effects.

Basic Math for Game Development with Unity 3D begins by explaining points in the 3D Cartesian Coordinate system. From there, you’ll gain insight into vectors and details of dot and cross products, quaternions, rotation and decomposition of vectors. These basic mathematical foundations are illustrated through Unity-based example implementations. Associated with these concept presentations are separate examples of how the concepts are applied in creating typical video game functionality, such as collision support, motion simulations, autonomous behaviors, shadow approximations, and reflections off surfaces with arbitrary orientations. 

After completing this book, you will have a thorough understanding of core mathematical concepts and how they are used to create compelling gameplay.

 What You Will Learn

• Understand the basic concepts of points and vectors, and their applications in game development
• Grasp the details of autonomous behaviors such as facing a target, following and chasing an object, and more
• Apply mathematical concepts in implementing modern video game functionality such as ray casting, collision, and motion control

 Who Is This Book For

Supercomputers and High Performance Computing (HPC) clusters are not so exotic as people imagine these days. They give companies the power of computation like no one server can give alone.  They make new drugs and materials discoveries, universe modeling and AI training, crash simulations and market research possible – all thanks to HPC clusters. Building or renting a HPC cluster is not so difficult either as cloud providers can give you resources to build one cheap and performative enough to use yourself, so If you are or want to become HPC cluster Sysadmin or manager, this book is for you.

Supercomputers for Linux SysAdmins delves into the world of modern HPC cluster architecture, hardware, software and resources management using a Linux/UNIX based approach. The number of HPC clusters is growing with an estimated 30 billion by 2030 but there are not enough sysadmins to run and manage them, this book serves to bridge this gap to help more Sysadmins and managers to transition into the exiting world of HPCs. 

This book helps those with a strong foundational knowledge in Linux, to deal with supercomputers and HPC clusters. We start with the basic principles of supercomputer management, fundamentals of Linux and UNIX, Shell Scripting and systemd and well as other open source tools and frameworks, taking you thorough the security, monitoring and hardware requirements for supercomputers and HPC clusters.

You Will Learn:

• How to plan new supercomputers
• The main principles and technologies used in supercomputers and HPC clusters
• How to set up the software environments on new supercomputers 
• To set up supercomputer and HPC cluster resources and jobs management
• To manage accounts, resource sharing and many more.

Who is it for: 

The main audience of this book are regular UNIX/Linux sysadmins and managers, who should deal with HPC clusters on-prem or in cloud and those who are interested in supercomputers and HPC clusters and how to utilize them in their projects and teams.

This books helps you embark on the journey to master the art of Appium automation, from installation all the way to building a Plugin and Driver. It covers the Appium 3.0 version which is the latest version which involves a complete re-architecture. 

You'll begin by following step-by-step instructions on installing Appium, configuring Node packages, and creating a simple test. In these initial chapters, you'll gain an understanding of Appium Architecture and the command lifecycle. Once you understand the basics, the book will then guide you in testing automation for Android and iOS, both for real devices and for emulators. These chapters also provide instructions on how to run tests in parallel, native shell commands, and how to prepare iOS real devices for test automation. Chapters also cover low-level technical implementations, which will enable you to contribute to Appium and open a way to open-source software contributions.

Following this, you'll discuss the intricacies of configuring and developing robust method wrappers, a crucial skill for supporting multiple test suites with both native commands. The book goes beyond the basics, exploring techniques to make test suites faster when running tests in CI like Jenkins, GitHub Actions, as well as cloud environments like Lambda Test, BrowserStack. It will also help you understand advanced topics such as gestures, plugin development, and continuous testing in CI environments.

By the end of this book, you'll have developed the expertise to debug Appium command failures and construct a sophisticated test automation framework, as well as excel in your Appium test automation endeavours and deliver reliable, efficient testing solutions.

What You'll Learn:

• Master advanced techniques in Appium Mobile Test Automation.
• Solve common challenges encountered in real-world projects and strategize to overcome them.
• Test automation for various platforms like TV apps, Roku, Raspberry Pi, and more.
• Contribute to the Appium project and engage in open-source contributions.

Who is this book for:

Software Testers, software architects, QA engineers, and DevOps engineers

AI will fundamentally change the way business is conducted across most industries. Organizations that excel at leveraging secure, responsible AI to advance their strategic objectives will have a distinct advantage. Those that do not may see their market share erode.

This book provides a guide for organizations to integrate AI in alignment with the organization's strategic goals. The framework provides a roadmap for adopting secure, responsible, and resilient AI, from initial strategy development to ongoing operations that will help advance market leadership.

Part one of the book discusses laying a solid foundation to ensure successful AI integration, beginning with developing an AI strategy aligned with strategic business objectives, such as product and service differentiation, market expansion, and process optimization.

Part Two takes a deep dive into ensuring secure and safe AI adoption. It proposes a secure-by-design approach to AI development that considers AI-specific attack vectors and associated security practices throughout the AI lifecycle.

Developing and deploying secure, responsible, and resilient AI is not a one-time effort. Therefore, Part Three discusses operationalizing AI and integrating it throughout the enterprise to ensure continued success. This section focuses on scaling AI applications and continuous improvement, including establishing metrics and conducting a post-deployment ROI evaluation. Finally, it discusses how to foster a culture of AI innovation and excellence, ensuring that AI becomes a way of doing business.

What You Will Learn:

• Develop an AI integration strategy aligned with the organization's strategic goals and objectives.
• Incorporate a secure-by-design approach to AI integration that considers AI-specific attack vectors and applies traditional and AI-specific defense methods, such as adversarial development, model behavior monitoring, drift analysis, input validation and filtering, and output filtering.
• Establish an AI governance and risk management framework to ensure ongoing compliance with applicable legislation, industry standards, organizational policies, and responsible AI principles.
• Operationalize and scale AI applications to ensure resilient production usage and facilitate continuous improvement.
• Foster a culture of AI innovation and excellence, ensuring that AI becomes a way of doing business.

Who This Book is for:

The primary audience includes business leaders, AI practitioners, AI executives, AI governance professionals, and cybersecurity leaders looking to integrate AI as a strategic differentiator and to enhance business operations. Higher education would be a secondary audience.