Reactive Programming for .NET Developers. Get up and running with reactive programming paradigms to build fast, concurrent, and powerful applications

Antonio Esposito, Michael Ciceri

Reactive programming is an innovative programming paradigm focused on time-based problem solving. It makes your programs better-performing, easier to scale, and more reliable.Want to create fast-running applications to handle complex logics and huge datasets for financial and big-data challenges? Then you have picked up the right book! Starting with the principles of reactive programming and unveiling the power of the pull-programming world, this book is your one-stop solution to get a deep practical understanding of reactive programming techniques. You will gradually learn all about reactive extensions, programming, testing, and debugging observable sequence, and integrating events from CLR data-at-rest or events. Finally, you will dive into advanced techniques such as manipulating time in data-flow, customizing operators and providers, and exploring functional reactive programming.By the end of the book, you'll know how to apply reactive programming to solve complex problems and build efficient programs with reactive user interfaces.

.NET MAUI for C# Developers. Build cross-platform mobile and desktop applications

Jesse Liberty, Rodrigo Juarez, Maddy Montaquila (Leger)

While UI plays a pivotal role in retaining users in a highly competitive landscape, maintaining the same UI can be tricky if you use different languages for different platforms, leading to mismatches and un-synced pages. In this book, you'll see how .NET MAUI allows you to create a real-world application that will run natively on different platforms. By building on your C# experience, you’ll further learn to create beautiful and engaging UI using XAML, architect a solid app, and discover best practices for this Microsoft platform.The book starts with the fundamentals and quickly moves on to intermediate and advanced topics on laying out your pages, navigating between them, and adding controls to gather and display data. You’ll explore the key architectural pattern of Model-View-ViewModel: and ways to leverage it. You’ll also use xUnit and NSubstitute to create robust and reliable code.By the end of this book, you’ll be well-equipped to leverage .NET MAUI and create an API for your app to interact with a web frontend to the backend data using C#.

XGBoost for Regression Predictive Modeling and Time Series Analysis. Learn how to build, evaluate, and deploy predictive models with expert guidance

Partha Pritam Deka, Joyce Weiner, Prof. Roberto V. Zicari

XGBoost offers a powerful solution for regression and time series analysis, enabling you to build accurate and efficient predictive models. In this book, the authors draw on their combined experience of 40+ years in the semiconductor industry to help you harness the full potential of XGBoost, from understanding its core concepts to implementing real-world applications.As you progress, you'll get to grips with the XGBoost algorithm, including its mathematical underpinnings and its advantages over other ensemble methods. You'll learn when to choose XGBoost over other predictive modeling techniques, and get hands-on guidance on implementing XGBoost using both the Python API and scikit-learn API. You'll also get to grips with essential techniques for time series data, including feature engineering, handling lag features, encoding techniques, and evaluating model performance. A unique aspect of this book is the chapter on model interpretability, where you'll use tools such as SHAP, LIME, ELI5, and Partial Dependence Plots (PDP) to understand your XGBoost models. Throughout the book, you’ll work through several hands-on exercises and real-world datasets.By the end of this book, you'll not only be building accurate models but will also be able to deploy and maintain them effectively, ensuring your solutions deliver real-world impact.

Unreal Engine 4 Game Development Quick Start Guide. Programming professional 3D games with Unreal Engine 4

Rachel Cordone

Unreal Engine is a popular game engine used by developers for building high-end 2D and 3D games. This book is a practical guide designed to help you get started with Unreal Engine 4 and confidently develop interactive games.You’ll begin with a quick introduction to the Unreal Engine 4 (UE4) ecosystem. Next, you’ll learn how to create Blueprints and C++ code to define your game's functionality. As you progress, you’ll cover the core systems of UE4 such as Unreal Motion Graphics (UMG), Animation Blueprints, and behaviour trees to further build on your game development knowledge. The concluding chapters will then help you learn how to use replication to create multiplayer games.By the end of this book, you will be well-versed with UE4 and have developed the skills you need to use the framework for developing and deploying robust and intuitive games.

Mastering PowerShell Scripting. Automate repetitive tasks and simplify complex administrative tasks using PowerShell - Fifth Edition

Chris Dent

Mastering PowerShell Scripting, Fifth Edition, is your comprehensive guide to harnessing PowerShell’s full potential. This edition introduces new chapters on debugging, troubleshooting, and creating GUIs while covering the latest enhancements in PowerShell 7.3, including parameters, objects, and .NET classes.The book takes you from foundational concepts to advanced techniques, covering asynchronous processing, desired state configuration, and managing large datasets. You'll explore PowerShell’s automation features, error-handling strategies, and integration with external services. Additionally, this guide provides practical insights into working with regular expressions, Windows Management Instrumentation, and complex scripting methods.By the end of this book, you’ll have the skills to efficiently automate tasks, troubleshoot scripts, and leverage PowerShell’s advanced capabilities for real-world scenarios.

Transformers for Natural Language Processing and Computer Vision. Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 - Third Edition

Denis Rothman

Transformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV).The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs.Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication.This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.

OpenCV 3.0 Computer Vision with Java. Create multiplatform computer vision desktop and web applications using the combination of OpenCV and Java

Daniel Lelis Baggio

Microsoft System Center Data Protection Manager 2012 R2 Cookbook. Over 100 recipes to build your own designs exploring the advanced functionality and features of System Center DPM 2012 R2

Robert Hedblom