Learn WinUI 3.0. Leverage the power of WinUI, the future of native Windows application development

Alvin Ashcraft

WinUI 3.0 takes a whole new approach to delivering Windows UI components and controls, and is able to deliver the same features on more than one version of Windows 10. Learn WinUI 3.0 is a comprehensive introduction to WinUI and Windows apps for anyone who is new to WinUI, Universal Windows Platform (UWP), and XAML applications.The book begins by helping you get to grips with the latest features in WinUI and shows you how XAML is used in UI development. You'll then set up a new Visual Studio environment and learn how to create a new UWP project. Next, you'll find out how to incorporate the Model-View-ViewModel (MVVM) pattern in a WinUI project and develop unit tests for ViewModel commands. Moving on, you'll cover the Windows Template Studio (WTS) new project wizard and WinUI libraries in a step-by-step way. As you advance, you'll discover how to leverage the Fluent Design system to create beautiful WinUI applications. You'll also explore the contents and capabilities of the Windows Community Toolkit and learn to create a new UWP user control. Toward the end, the book will teach you how to build, debug, unit test, deploy, and monitor apps in production.By the end of this book, you'll have learned how to build WinUI applications from scratch and modernize existing WPF and WinForms applications using WinUI controls.

Design Principles for Process-driven Architectures Using Oracle BPM and SOA Suite 12c. A design handbook to orchestrate and manage flexible process-driven systems with Oracle BPM and SOA Suite 12c

Matjaz B Juric, Danilo Schmiedel, Mark Simpson, Torsten Winterberg, ...

Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide

Abdulrahman Kerim

The machine learning (ML) revolution has made our world unimaginable without its products and services. However, training ML models requires vast datasets, which entails a process plagued by high costs, errors, and privacy concerns associated with collecting and annotating real data. Synthetic data emerges as a promising solution to all these challenges.This book is designed to bridge theory and practice of using synthetic data, offering invaluable support for your ML journey. Synthetic Data for Machine Learning empowers you to tackle real data issues, enhance your ML models' performance, and gain a deep understanding of synthetic data generation. You’ll explore the strengths and weaknesses of various approaches, gaining practical knowledge with hands-on examples of modern methods, including Generative Adversarial Networks (GANs) and diffusion models. Additionally, you’ll uncover the secrets and best practices to harness the full potential of synthetic data.By the end of this book, you’ll have mastered synthetic data and positioned yourself as a market leader, ready for more advanced, cost-effective, and higher-quality data sources, setting you ahead of your peers in the next generation of ML.

Raspberry Pi Projects for Kids. Leverage the power of programming to use the Raspberry Pi to create awesome games

Daniel Leonard Bates, Daniel Bates

Mastering PowerShell Scripting. Automate and manage your environment using PowerShell 7.1 - Fourth Edition

Chris Dent

PowerShell scripts offer a convenient way to automate various tasks, but working with them can be daunting. Mastering PowerShell Scripting takes away the fear and helps you navigate through PowerShell's capabilities.This extensively revised edition includes new chapters on debugging and troubleshooting and creating GUIs (online chapter). Learn the new features of PowerShell 7.1 by working with parameters, objects, and .NET classes from within PowerShell 7.1.This comprehensive guide starts with the basics before moving on to advanced topics, including asynchronous processing, desired state configuration, using more complex scripts and filters, debugging issues, and error-handling techniques. Explore how to efficiently manage substantial amounts of data and interact with other services using PowerShell 7.1. This book will help you to make the most of PowerShell's automation features, using different methods to parse data, manipulate regular expressions, and work with Windows Management Instrumentation (WMI).

Cassandra High Availability. Harness the power of Apache Cassandra to build scalable, fault-tolerant, and readily available applications

Robbie Strickland

SAFe(R) Coaches Handbook. Proven tips and techniques for launching and running SAFe® Teams, ARTs, and Portfolios in an Agile Enterprise

Darren Wilmshurst, Lindy Quick, Dean Leffingwell

The Scaled Agile Framework (SAFe®) is widely recognized as an eff ective methodology for implementing Agile practices at the Enterprise level. However, the complexity of SAFe® can make it challenging for Teams and organizations to determine which practices can be safely adapted to their unique needs. Although SAFe® is a framework rather than a set of rules, promoting adaptation, it’s crucial to understand why SAFe® practices are designed the way they are along with the consequences of modifying them.The SAFe® Coaches Handbook is a comprehensive resource that goes beyond a how-to guide, providing a deep understanding of SAFe® principles and practices. The chapters are designed in a way to teach you how to successfully implement SAFe® in your organization and eff ectively manage the Team’s Backlog while avoiding common pitfalls. You’ll discover optimal ways to create SAFe® Teams and run successful Events. You’ll also learn how to plan Agile Release Trains (ARTs), manage the ART Backlog, conduct PI Planning, and grasp the importance of Value Stream Identifi cation in driving value delivery.By the end of this book, you’ll be armed with practical tips and advice to help you successfully customize the Scaled Agile Framework to your Enterprise’s needs while preserving the aspects that make it work successfully.

Speed Up Your Python with Rust. Optimize Python performance by creating Python pip modules in Rust with PyO3

Maxwell Flitton

Python has made software development easier, but it falls short in several areas including memory management that lead to poor performance and security. Rust, on the other hand, provides memory safety without using a garbage collector, which means that with its low memory footprint, you can build high-performant and secure apps relatively easily. However, rewriting everything in Rust can be expensive and risky as there might not be package support in Rust for the problem being solved. This is where Python bindings and pip come in.This book will help you, as a Python developer, to start using Rust in your Python projects without having to manage a separate Rust server or application. Seeing as you'll already understand concepts like functions and loops, this book covers the quirks of Rust such as memory management to code Rust in a productive and structured manner. You'll explore the PyO3 crate to fuse Rust code with Python, learn how to package your fused Rust code in a pip package, and then deploy a Python Flask application in Docker that uses a private Rust pip module. Finally, you'll get to grips with advanced Rust binding topics such as inspecting Python objects and modules in Rust.By the end of this Rust book, you'll be able to develop safe and high-performant applications with better concurrency support.