Название: .NET Aspire Made Easy (MEAP 8)
Автор: Fiodar Sazanavets
Издательство: Manning Publications
Год: 2026
Страниц: 276
Язык: английский
Формат: pdf (true), epub
Размер: 18.5 MB

Write distributed apps naturally on your local machine using .NET Aspire! .NET Aspire radically simplifies the process of building distributed applications! With this powerful tool, you can design, code, and run distributed systems on your local dev machine, even replicating cloud services such as Azure Cosmos DB and Azure Storage. Aspire includes the templates and packages you need to create a complete distributed environment on your local machine, including Kubernetes orchestration, observability, and database integration, all from your familiar Visual Studio IDE. In .NET Aspire Made Easy you’ll discover the fundamentals of Aspire: how Aspire code is structured, how its components all work together, and how to integrate Aspire apps with databases, message brokers, and other infrastructure. The book is packed with solutions to common and not-so-common problems—from making service discovery work with SignalR clients, to deploying Aspire applications in cloud environments. For .NET developers who know C#. No experience with distributed applications needed.

Название: Kubernetes in Action, Second Edition (MEAP 18)
Автор: Marko Lukša, Kevin Conner
Издательство: Manning Publications
Год: 2026
Страниц: 788
Язык: английский
Формат: pdf (true), epub
Размер: 59.7 MB

Kubernetes is an essential tool for anyone deploying and managing cloud-native applications. Kubernetes in Action, Second Edition is a fully-updated and comprehensive guide to developing and running applications in a Kubernetes environment. It lays out a complete introduction to container technologies and containerized applications along with practical tips for efficient deployment and operation. This revised edition of the bestselling original contains new coverage of the Kubernetes architecture, including the Kubernetes API, and a deep dive into managing a Kubernetes cluster in production. Kubernetes in Action, Second Edition teaches you to use Kubernetes to deploy container-based distributed applications. You'll start with an overview of how Docker containers work with Kubernetes and move quickly to building your first cluster. You'll gradually expand your initial application, adding features and deepening your knowledge of Kubernetes architecture and operation. Written for intermediate software developers with little or no familiarity with Docker or container orchestration systems.

Название: Become A Ninja With Angular (v21.1.0)
Автор: Ninja Squad
Издательство: Ninja Squad
Год: 2026-02-13
Страниц: 371
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 11.2 MB

Книга "Стань ниндзя с Angular" поможет программистам понять философию Angular на практике (в настоящее время 21.1.5), новые инструменты (такие как ES2015, TypeScript, SystemJS, Webpack, Angular CLI ...) и каждую часть инфраструктуры. К концу чтения данного руководства вы сможете начать свой проект и создавать свои удивительные приложения! This ebook helps you get the philosophy of Angular (currently 21.1.5), the new tools (like ES2015, TypeScript, Webpack, Angular CLI...), and each part of the framework in a pragmatic way. You will be able to kickstart your project by the end of the reading, and build your amazing apps!

Название: Основы разработки приложений беспроводных устройств
Автор: Котляров В.П., Воинов Н.В.
Издательство: М.: НОУ "Интуит"
Год: 2016
Страниц: 328
Формат: PDF
Размер: 24.6 Мб
Язык: русский

Курс посвящен обсуждению проблем разработки программного обеспечения приложений беспроводных устройств. В этой области наряду с решением научных и технических проблем немаловажная роль принадлежит проблеме подготовки кадров, пригодных к решению задач создания приложений для мобильных телефонов, смартфонов, наладонников, ноутбуков, взаимодействующих в распределенной сети.

Название: Яценков В.С. Сборник из 9 книг
Автор: Яценков В.С.
Издательство: Горячая линия - Телеком, БХВ-Петербург, Издательские решения
Год: 2002-2020
Страниц: 1000+
Формат: pdf, djvu
Размер: 260 Мб
Язык: русский

Чрезвычайно необычные по своему содержанию книги представляет собой практические руководства. На страницах своего труда автор идет в оппозицию распространенному мифу, что чтение радиосхем и их применение в устранении неполадок бытовой аппаратуры реально только для опытных радиолюбителей. На самом деле, справиться с этой работой по силам даже новичку.

Название: Building Reliable AI Systems: Production-ready methods to reduce hallucination, bias, and more (MEAP 11)
Автор: Rush Shahani
Издательство: Manning Publications
Год: 2026
Страниц: 418
Язык: английский
Формат: pdf (true), epub
Размер: 24.3 MB

Tested strategies to reduce hallucinations, improve performance and cost efficiency, and reduce bias or unethical behavior in your LLMs outputs. Building Reliable AI Systems shows you exactly how to guide large language models from research prototypes to scalable, robust, and efficient production systems. From model training to maintenance, an engineer will find everything they need to work with LLMs in this one-stop guide. This book complements Sebastian Raschka’s Build a Large Language Model (From Scratch), which takes a hands-on, ground-up approach to constructing LLMs. While Raschka’s book focuses on building models from scratch, Building Reliable AI Systems centers on deploying, optimizing, and maintaining reliable, production-grade AI systems. This book will guide you through the entire process, from mitigating hallucinations and reducing bias to optimizing performance and ensuring reliability in LLM-powered applications. You’ll dive into advanced topics like prompt engineering, creating intelligent agents, and the powerful technique of Retrieval-Augmented Generation (RAG). For data scientists or software engineers confident in Python and NLP.

Название: Secrets of the jаvascript Ninja, Third Edition (MEAP v10)
Автор: Trevor Burnham, Bear Bibeault, Josip Maras, John Resig
Издательство: Manning Publications
Год: 2026
Страниц: 268
Язык: английский
Формат: pdf (true), epub
Размер: 13.8 MB

The secrets of modern web development using jаvascript and TypeScript! If you’re serious about web development, you need to be ninja-stealthy, efficient, and ready for anything! Secrets of the jаvascript Ninja, Third Edition will turn you into a killer jаvascript coder. In it, you’ll learn techniques for writing efficient code, applications, and libraries that you can apply to any jаvascript or TypeScript project. Whether you’re a jаvascript novice or a battle-hardened web developer, you’ll love Secrets of the jаvascript Ninja, Third Edition! Written for web developers who know the basics of jаvascript or TypeScript, this amazing book delivers best practices for writing code that’s readable, reliable, and performant. This fully-revised third edition includes TypeScript techniques, along with modern tools like ESLint that help you catch bugs before they crash your apps. Plus, you’ll find practical tips on overcoming common pain points in modern JS development, such as the divide between ECMAScript and CommonJS modules. You don't have to be a ninja to read this book—just willing to become one.

Название: AI Engineering in Practice (MEAP 4)
Автор: Richard Davies, Rafael Fischer
Издательство: Manning Publications
Год: 2026
Страниц: 184
Язык: английский
Формат: pdf (true), epub
Размер: 39.8 MB

Write, refine, organize, and optimize AI prompts that generate relevant and useful text and images! Generative AI models such as ChatGPT, Stable Diffusion, and Gemini can produce amazingly “human-like” news articles, document summaries, images, computer code, and more—if you know how to write effective prompts. This book will teach you the prompt design and authoring skills you need to get useful and relevant responses from AI models, along with advanced prompting techniques for Retrieval Augmented Generation (RAG), building autonomous agents, and data privacy. AI Engineering is Software Engineering that incorporates modern AI techniques, Language Models, Vector Databases, Embeddings, to solve problems involving unstructured data like text, images, and audio. It requires the same discipline as traditional Software Engineering: scalable architecture, systematic testing, robust error handling, and operational monitoring. No special skills with AI or Machine Learning required. Code examples are in Python.

Название: Deep Learning with PyTorch: Training and applying Deep Learning and Generative AI models, 2nd Edition (Final Release)
Автор: Howard Huang, Eli Stevens, Luca Antiga, Thomas Viehmann
Издательство: Manning Publications
Год: 2026
Страниц: 546
Язык: английский
Формат: pdf (true)
Размер: 28.8 MB

PyTorch core developer Howard Huang updates the bestselling original Deep Learning with PyTorch with new insights into the transformers architecture and generative AI models. Instantly familiar to anyone who knows PyData tools like NumPy, PyTorch simplifies deep learning without sacrificing advanced features. In this book you’ll learn how to create your own neural network and deep learning systems and take full advantage of PyTorch’s built-in tools for automatic differentiation, hardware acceleration, distributed training, and more. You’ll discover how easy PyTorch makes it to build your entire DL pipeline, including using the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. Deep Learning with PyTorch, Second Edition shows you how to build neural network models using the latest version of PyTorch. Clear explanations and practical projects help you master the fundamentals and explore advanced architectures including transformers and LLMs. Along the way you’ll learn techniques for training using augmented data, improving model architecture, and fine tuning. For Python programmers with a background in Machine Learning.

Название: Trustworthy AI Systems: Engineering Secure, Scalable, and Responsible Intelligence for Real Applications
Автор: Vaishnavi Gudur, Bishwajeet Pandey, Advait Patel
Издательство: Springer
Год: 2026
Страниц: 306
Язык: английский
Формат: pdf (true), epub
Размер: 16.7 MB

This book bridges the gap between leading-edge AI innovation and real deployment, by offering a practical guide to engineering secure, scalable, and responsible AI. The authors describe a unified framework that merges engineering principles with ethical design, cybersecurity, explainability, and policy alignment. Through expert insights, case studies, and technical guidance, the book empowers researchers, developers, and decision-makers to build AI that users can trust. Artificial Intelligence has been growing and developing at an exponential rate. It has been reshaping social structures across various domains and transforming industries. It is no longer confined to scientific labs or very specific uses. Today, it is a term used in nearly every sector and vertical, from healthcare and finance to transportation, education, governance, entertainment, and even travel. Efficiency and innovation have significantly increased due to this integration. But just as every coin has two sides, this innovation also raises serious concerns about how fair, transparent, accountable, private, and safe these systems really are.