【Kompatibel mit den meisten USB-C-Geräten】Funktioniert mit iPhone 16, 16 Plus, 16 Pro, 16 Pro Max, iPhone 15, 15 Plus, 15 Pro, 15 Pro Max, iPad Pro (2020, 2021, 2022, 2023), iPad Air 4th und 5th Gen, iPad Mini 6th Gen, MacBook und MacBook Pro mit USB-C Funktioniert auch mit Galaxy S2. 3, S22 , S21, S21 Plus, S21 Ultra, S20, S20 Plus, S20 Ultra, S21 FE, Note 10, Note 10 Plus, Note 20, Note 20 Ultra, Galaxy Z Flip und Z Fold Serie, A53, A33, Galaxy Tab S8+, Pixel 6, 6 Pro, 5, 4a, 3a XL, 4 XL, 3 , 2XL, da sowie E-Reader: Kindle Fire Max 11, Onyx Boox Note Air 4. Geeignet für die meisten Laptops, Tablets und Android-Handys mit USB-C-Audioanschluss. 【Eingebautes Mikrofon und Steuertaste】 Jedes Paar verfügt über ein Inline-Mikrofon und eine Multifunktionstaste, mit der Benutzer Musik abspielen oder pausieren, Titel überspringen und Anrufe annehmen oder beenden können, ohne das Gerät zu berühren. Ideal für Fernlernen, Meetings oder Pendeln. Stereo-Sound und Geräuschisolierung: liefert ausgewogene Audioleistung mit klaren Höhen und Tiefen. Entwickelt für den täglichen Gebrauch, einschließlich Musik, Anrufe, Podcasts und Online-Unterricht. Die In-Ear-Passform hilft, Umgebungsgeräusche zu blockieren, für ein fokussierteres Erlebnis. 【Bequem und verwicklungsfrei für Gruppenanwendung】Weiche Silikon-Ohrstöpsel bieten eine sichere und bequeme Passform für längeres Tragen, wodurch sie ideal für den täglichen Gebrauch in Klassenzimmern, Büros, Bibliotheken oder Veranstaltungen sind. Das flache, verwicklungsresistente Kabel bleibt organisiert und verfügt über ein verstärktes Mittelgelenk für zusätzliche Haltbarkeit – perfekt für die Massenverteilung, wo Zuverlässigkeit wichtig ist. Bulk-Friendly Value Pack für Schulen und Organisationen: Dieses 30er-Pack enthält USB-C-Ohrhörer in verschiedenen Farben, wodurch es einfach ist, sie nach Benutzer, Klassenzimmer oder Gruppe zuzuordnen oder zu organisieren. Sie sind eine zuverlässige Wahl für Schulen, Büros, Bibliotheken, Testzentren oder jede Umgebung, in der zuverlässige, verhedderungsfreie Kopfhörer in großen Mengen benötigt werden.

Summary Building on the bestselling first edition, EJB 3 in Action, Second Edition tackles EJB 3.2 head-on, through numerous code samples, real-life scenarios, and illustrations. This book is a fast-paced tutorial for Java EE 6 business component development using EJB 3.2, JPA 2, and CDI. Besides covering the basics of EJB 3.2, this book includes in-depth EJB 3.2 internal implementation details, best practices, design patterns, and performance tuning tips. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book The EJB 3 framework provides a standard way to capture business logic in manageable server-side modules, making it easier to write, maintain, and extend Java EE applications. EJB 3.2 provides more enhancements and intelligent defaults and integrates more fully with other Java technologies, such as CDI, to make development even easier. EJB 3 in Action, Second Edition is a fast-paced tutorial for Java EE business component developers using EJB 3.2, JPA, and CDI. It tackles EJB head-on through numerous code samples, real-life scenarios, and illustrations. Beyond the basics, this book includes internal implementation details, best practices, design patterns, performance tuning tips, and various means of access including Web Services, REST Services, and WebSockets. Readers need to know Java. No prior experience with EJB or Java EE is assumed. What's Inside Fully revised for EJB 3.2 POJO persistence with JPA 2.1 Dependency injection and bean management with CDI 1.1 Interactive application with WebSocket 1.0 About the Authors Debu Panda , Reza Rahman , Ryan Cuprak , and Michael Remijan are seasoned Java architects, developers, authors, and community leaders. Debu and Reza coauthored the first edition of EJB 3 in Action. Table of Contents PART 1 OVERVIEW OF THE EJB LANDSCAPE What's what in EJB 3 A first taste of EJB PART 2 WORKING WITH EJB COMPONENTS Building business logic with session beans Messaging and developing MDBs EJB runtime context, dependency injection,and crosscutting logic Transactions and security Scheduling and timers Exposing EJBs as web services PART 3 USING EJB WITH JPA AND CDI JPA entities Managing entities JPQL Using CDI with EJB 3 PART 4 PUTTING EJB INTO ACTION Packaging EJB 3 applications Using WebSockets with EJB 3 Testing and EJB

Transform GenAI experiments into production-ready intelligent agents with scalable AI systems, architectural patterns, frameworks, and responsible AI and governance best practices Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features: - Build robust single and multi-agent GenAI systems for enterprise use - Understand the GenAI and Agentic AI maturity model and enterprise adoption roadmap - Use prompt engineering and optimization, various styles of RAG, and LLMOps to enhance AI capability and performance - Purchase of the print or Kindle book includes a free PDF eBook Book Description: Generative AI has moved beyond the hype, and enterprises now face the challenge of turning prototypes into scalable solutions. This book is your guide to building intelligent agents powered by LLMs. Starting with a GenAI maturity model, you'll learn how to assess your organization's readiness and create a roadmap toward agentic AI adoption. You'll master foundational topics such as model selection and LLM deployment, progressing to advanced methods such as RAG, fine-tuning, in-context learning, and LLMOps, especially in the context of agentic AI. You'll explore a rich library of agentic AI design patterns to address coordination, explainability, fault tolerance, and human-agent interaction. This book introduces a concrete, hierarchical multi-agent architecture where high-level orchestrator agents manage complex business workflows by delegating entire sub-processes to specialized agents. You'll see how these agents collaborate and communicate using the Agent-to-Agent (A2A) protocol. To ensure your systems are production-ready, we provide a practical framework for observability using life cycle callbacks, giving you the granular traceability needed for debugging, compliance, and cost management. Each pattern is backed by real-world scenarios and code examples using the open source Agent Development Kit (ADK). *Email sign-up and proof of purchase required What You Will Learn: - Apply design patterns to handle instruction drift, improve coordination, and build fault-tolerant AI systems - Design systems with the three layers of the agentic stack: function calling, tool protocols (MCP), and A2A collaboration - Develop responsible, ethical, and governable GenAI applications - Use frameworks such as ADK, LangGraph, and CrewAI with code examples - Master prompt engineering, LLMOps, and AgentOps best practices - Build agentic systems using RAG, fine-tuning, and in-context learning Who this book is for: This book is for AI developers, data scientists, and professionals eager to apply GenAI and agentic AI to solve business challenges. A basic grasp of data and software concepts is expected. The book offers a clear path for newcomers while providing advanced insights for individuals already experimenting with the technology. With real-world case studies, technical guides, and production-focused examples, the book supports a wide range of skill levels, from learning the foundations to building sophisticated, autonomous AI systems for enterprise use. Table of Contents - GenAI in the Enterprise: Landscape, Maturity, and Agent Focus - Agent-Ready LLMs: Selection, Deployment, and Adaptation - The Spectrum of LLM Adaptation for Agents: RAG to Fine-tuning - Agentic AI Architecture: Components and Interactions - Multi-Agent Coordination Patterns - Explainability and Compliance Agentic Patterns - Robustness and Fault Tolerance Patterns - Human-Agent Interaction Patterns - Agent-Level Patterns - System-Level Patterns for Production Readiness (N.B. Please use the Read Sample option to see further chapters)

Transform GenAI experiments into production-ready intelligent agents with scalable AI systems, architectural patterns, frameworks, and responsible AI and governance best practices Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features: - Build robust single and multi-agent GenAI systems for enterprise use - Understand the GenAI and Agentic AI maturity model and enterprise adoption roadmap - Use prompt engineering and optimization, various styles of RAG, and LLMOps to enhance AI capability and performance - Purchase of the print or Kindle book includes a free PDF eBook Book Description: Generative AI has moved beyond the hype, and enterprises now face the challenge of turning prototypes into scalable solutions. This book is your guide to building intelligent agents powered by LLMs. Starting with a GenAI maturity model, you'll learn how to assess your organization's readiness and create a roadmap toward agentic AI adoption. You'll master foundational topics such as model selection and LLM deployment, progressing to advanced methods such as RAG, fine-tuning, in-context learning, and LLMOps, especially in the context of agentic AI. You'll explore a rich library of agentic AI design patterns to address coordination, explainability, fault tolerance, and human-agent interaction. This book introduces a concrete, hierarchical multi-agent architecture where high-level orchestrator agents manage complex business workflows by delegating entire sub-processes to specialized agents. You'll see how these agents collaborate and communicate using the Agent-to-Agent (A2A) protocol. To ensure your systems are production-ready, we provide a practical framework for observability using life cycle callbacks, giving you the granular traceability needed for debugging, compliance, and cost management. Each pattern is backed by real-world scenarios and code examples using the open source Agent Development Kit (ADK). *Email sign-up and proof of purchase required What You Will Learn: - Apply design patterns to handle instruction drift, improve coordination, and build fault-tolerant AI systems - Design systems with the three layers of the agentic stack: function calling, tool protocols (MCP), and A2A collaboration - Develop responsible, ethical, and governable GenAI applications - Use frameworks such as ADK, LangGraph, and CrewAI with code examples - Master prompt engineering, LLMOps, and AgentOps best practices - Build agentic systems using RAG, fine-tuning, and in-context learning Who this book is for: This book is for AI developers, data scientists, and professionals eager to apply GenAI and agentic AI to solve business challenges. A basic grasp of data and software concepts is expected. The book offers a clear path for newcomers while providing advanced insights for individuals already experimenting with the technology. With real-world case studies, technical guides, and production-focused examples, the book supports a wide range of skill levels, from learning the foundations to building sophisticated, autonomous AI systems for enterprise use. Table of Contents - GenAI in the Enterprise: Landscape, Maturity, and Agent Focus - Agent-Ready LLMs: Selection, Deployment, and Adaptation - The Spectrum of LLM Adaptation for Agents: RAG to Fine-tuning - Agentic AI Architecture: Components and Interactions - Multi-Agent Coordination Patterns - Explainability and Compliance Agentic Patterns - Robustness and Fault Tolerance Patterns - Human-Agent Interaction Patterns - Agent-Level Patterns - System-Level Patterns for Production Readiness (N.B. Please use the Read Sample option to see further chapters)

Summary Solr in Action is a comprehensive guide to implementing scalable search using Apache Solr. This clearly written book walks you through well-documented examples ranging from basic keyword searching to scaling a system for billions of documents and queries. It will give you a deep understanding of how to implement core Solr capabilities. About the Book Whether you're handling big (or small) data, managing documents, or building a website, it is important to be able to quickly search through your content and discover meaning in it. Apache Solr is your tool: a ready-to-deploy, Lucene-based, open source, full-text search engine. Solr can scale across many servers to enable real-time queries and data analytics across billions of documents. Solr in Action teaches you to implement scalable search using Apache Solr. This easy-to-read guide balances conceptual discussions with practical examples to show you how to implement all of Solr's core capabilities. You'll master topics like text analysis, faceted search, hit highlighting, result grouping, query suggestions, multilingual search, advanced geospatial and data operations, and relevancy tuning. This book assumes basic knowledge of Java and standard database technology. No prior knowledge of Solr or Lucene is required. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. What's Inside How to scale Solr for big data Rich real-world examples Solr as a NoSQL data store Advanced multilingual, data, and relevancy tricks Coverage of versions through Solr 4.7 About the Authors Trey Grainger is a director of engineering at CareerBuilder. Timothy Potter is a senior member of the engineering team at LucidWorks. The authors work on the scalability and reliability of Solr, as well as on recommendation engine and big data analytics technologies. Table of Contents PART 1 MEET SOLR Introduction to Solr Getting to know Solr Key Solr concepts Configuring Solr Indexing Text analysis PART 2 CORE SOLR CAPABILITIES Performing queries and handling results Faceted search Hit highlighting Query suggestions Result grouping/field collapsing Taking Solr to production PART 3 TAKING SOLR TO THE NEXT LEVEL SolrCloud Multilingual search Complex query operations Mastering relevancy

Summary Solr in Action is a comprehensive guide to implementing scalable search using Apache Solr. This clearly written book walks you through well-documented examples ranging from basic keyword searching to scaling a system for billions of documents and queries. It will give you a deep understanding of how to implement core Solr capabilities. About the Book Whether you're handling big (or small) data, managing documents, or building a website, it is important to be able to quickly search through your content and discover meaning in it. Apache Solr is your tool: a ready-to-deploy, Lucene-based, open source, full-text search engine. Solr can scale across many servers to enable real-time queries and data analytics across billions of documents. Solr in Action teaches you to implement scalable search using Apache Solr. This easy-to-read guide balances conceptual discussions with practical examples to show you how to implement all of Solr's core capabilities. You'll master topics like text analysis, faceted search, hit highlighting, result grouping, query suggestions, multilingual search, advanced geospatial and data operations, and relevancy tuning. This book assumes basic knowledge of Java and standard database technology. No prior knowledge of Solr or Lucene is required. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. What's Inside How to scale Solr for big data Rich real-world examples Solr as a NoSQL data store Advanced multilingual, data, and relevancy tricks Coverage of versions through Solr 4.7 About the Authors Trey Grainger is a director of engineering at CareerBuilder. Timothy Potter is a senior member of the engineering team at LucidWorks. The authors work on the scalability and reliability of Solr, as well as on recommendation engine and big data analytics technologies. Table of Contents PART 1 MEET SOLR Introduction to Solr Getting to know Solr Key Solr concepts Configuring Solr Indexing Text analysis PART 2 CORE SOLR CAPABILITIES Performing queries and handling results Faceted search Hit highlighting Query suggestions Result grouping/field collapsing Taking Solr to production PART 3 TAKING SOLR TO THE NEXT LEVEL SolrCloud Multilingual search Complex query operations Mastering relevancy

Bluetooth 5.4 & Instant Touchpad Connectivity: This scrolling ring integrates a sensitive touchpad and Bluetooth 5.4, delivering a stable wireless connection for seamless page turning and menu navigation. With zero setup required, it instantly pairs with your smartphone or tablet, making document scrolling, photo browsing, and app control effortless during presentations or daily use. Precision Touchpad for Smooth Scrolling & Navigation: The responsive touchpad allows fluid up down and side to side scrolling, plus precise cursor control and click to select functionality. Whether you are swiping through slides, reading ebooks, or navigating a tablet interface, the intuitive touch surface replaces awkward device taps, improving workflow and convenience. Effortless Wireless Page Turner & Camera Remote: Use this remote control ring as a wireless page turner to advance slides or flip pages hands free, ideal for teachers, public speakers, and ebook readers. It also functions as a camera remote, letting you capture photos from a distance or include yourself in group shots without touching your phone. Comfortable Scrolling Ring with Adjustable Fit: Designed ergonomically, the scrolling ring fits comfortably on your index or middle finger, securing in place for all day wear. The lightweight build eliminates fatigue during extended use, while the ring style form factor keeps your hands free for note taking, gesturing, or holding other items. Versatile Remote for Phone Tablet Presentations & Reading: Compatible with most iOS and Android devices, this mobile phone remote excels in diverse scenarios: from controlling PowerPoint slides in meetings to turning pages on a Kindle or iPad. Perfect for professionals, students, and content creators who need precise, hands free control anytime, anywhere.

Summary Testing Vue.js Applications is a comprehensive guide to testing Vue components, methods, events, and output. Author Edd Yerburgh, creator of the Vue testing utility, explains the best testing practices in Vue along with an evergreen methodology that applies to any web dev process. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Web developers who use the Vue framework love its reliability, speed, small footprint, and versatility. Vue's component-based approach and use of DOM methods require you to adapt your app-testing practices. Learning Vue-specific testing tools and strategies will ensure your apps run like they should. About the Book With Testing Vue.js Applications, you'll discover effective testing methods for Vue applications. You'll enjoy author Edd Yerburgh's engaging style and fun real-world examples as you learn to use the Jest framework to run tests for a Hacker News application built with Vue, Vuex, and Vue Router. This comprehensive guide teaches the best testing practices in Vue along with an evergreen methodology that applies to any web dev process. What's inside Unit tests, snapshot tests, and end-to-end tests Writing unit tests for Vue components Writing tests for Vue mixins, Vuex, and Vue Router Advanced testing techniques, like mocking About the Reader Written for Vue developers at any level. About the Author Edd Yerburgh is a JavaScript developer and Vue core team member. He's the main author of the Vue Test Utils library and is passionate about open source tooling for testing component-based applications. Table of Contents Introduction to testing Vue applications Creating your first test Testing rendered component output Testing component methods Testing events Understanding Vuex Testing Vuex Organizing tests with factory functions Understanding Vue Router Testing Vue Router Testing mixins and filters Writing snapshot tests Testing server-side rendering Writing end-to-end tests APPENDIXES A - Setting up your environment B - Running the production build C - Exercise answers

Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. Summary Distributed across servers, difficult to test, and resistant to modification—modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems so that they’re easier to test and debug. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Developers rightly fear the unintended complexity that infects most code. This book shows you how to write software that keeps complexity close to its inherent minimum. As you write software you should distinguish between code that alters your system’s state, and code that does not. Once you learn to make that distinction, you can refactor much of your state-altering “actions” into stateless “calculations.” Your software will be simpler. About the book The book also teaches you to solve the complex timing bugs that inevitably creep into asynchronous and multithreaded code. In ad­vanced sections of the book you learn how composable abstractions help avoid repeating code and open up new levels of expressivity. What's inside Patterns for simpler code Powerful time modeling approaches to simplify asynchronous code How higher-order functions can make code reusable and composable About the reader For intermediate and advanced developers building complex software. Exercises, illustrations, self-assessments, and hands-on examples lock in each new idea. About the author Eric Normand is an expert software developer who has been an influential teacher of functional programming since 2007. Table of Contents 1 Welcome to Grokking Simplicity 2 Functional thinking in action PART 1 - ACTIONS, CALCULATIONS, AND DATA 3 Distinguishing actions, calculations, and data 4 Extracting calculations from actions 5 Improving the design of actions 6 Staying immutable in a mutable language 7 Staying immutable with untrusted code 8 Stratified design, part 1 9 Stratified design, part 2 PART 2 - FIRST-CLASS ABSTRACTIONS 10 First-class functions, part 1 11 First-class functions, part 2 12 Functional iteration 13 Chaining functional tools 14 Functional tools for nested data 15 Isolating timelines 16 Sharing resources between timelines 17 Coordinating timelines 18 Reactive and onion architectures 19 The functional journey ahead

Summary Play for Scala shows you how to build Scala-based web applications using the Play 2 framework. This book starts by introducing Play through a comprehensive overview example. Then, you'll look at each facet of a typical Play application both by exploring simple code snippets and by adding to a larger running example. Along the way, you'll deepen your knowledge of Scala as a programming language and work with tools like Akka. About this Book Play is a Scala web framework with built-in advantages: Scala's strong type system helps deliver bug-free code, and the Akka framework helps achieve hassle-free concurrency and peak performance. Play builds on the web's stateless nature for excellent scalability, and because it is event-based and nonblocking, you'll find it to be great for near real-time applications. Play for Scala teaches you to build Scala-based web applications using Play 2. It gets you going with a comprehensive overview example. It then explores each facet of a typical Play application by walking through sample code snippets and adding features to a running example. Along the way, you'll deepen your knowledge of Scala and learn to work with tools like Akka. Written for readers familiar with Scala and web-based application architectures. No knowledge of Play is assumed. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. What's Inside Intro to Play 2 Play's MVC structure Mastering Scala templates and forms Persisting data and using web services Using Play's advanced features About the Authors Peter Hiltonv , Erik Bakker , and Francisco Canedo , are engineers at Lunatech, a consultancy with Scala and Play expertise. They are contributors to the Play framework. Table of Contents PART 1: GETTING STARTED Introduction to Play Your first Play application PART 2: CORE FUNCTIONALITY Deconstructing Play application architecture Defining the application's HTTP interface Storing data—the persistence layer Building a user interface with view templates Validating and processing input with the forms API PART 3: ADVANCED CONCEPTS Building a single-page JavaScript application with JSON Play and more Web services, iteratees, and WebSockets

Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. Summary Distributed across servers, difficult to test, and resistant to modification—modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems so that they’re easier to test and debug. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Developers rightly fear the unintended complexity that infects most code. This book shows you how to write software that keeps complexity close to its inherent minimum. As you write software you should distinguish between code that alters your system’s state, and code that does not. Once you learn to make that distinction, you can refactor much of your state-altering “actions” into stateless “calculations.” Your software will be simpler. About the book The book also teaches you to solve the complex timing bugs that inevitably creep into asynchronous and multithreaded code. In ad­vanced sections of the book you learn how composable abstractions help avoid repeating code and open up new levels of expressivity. What's inside Patterns for simpler code Powerful time modeling approaches to simplify asynchronous code How higher-order functions can make code reusable and composable About the reader For intermediate and advanced developers building complex software. Exercises, illustrations, self-assessments, and hands-on examples lock in each new idea. About the author Eric Normand is an expert software developer who has been an influential teacher of functional programming since 2007. Table of Contents 1 Welcome to Grokking Simplicity 2 Functional thinking in action PART 1 - ACTIONS, CALCULATIONS, AND DATA 3 Distinguishing actions, calculations, and data 4 Extracting calculations from actions 5 Improving the design of actions 6 Staying immutable in a mutable language 7 Staying immutable with untrusted code 8 Stratified design, part 1 9 Stratified design, part 2 PART 2 - FIRST-CLASS ABSTRACTIONS 10 First-class functions, part 1 11 First-class functions, part 2 12 Functional iteration 13 Chaining functional tools 14 Functional tools for nested data 15 Isolating timelines 16 Sharing resources between timelines 17 Coordinating timelines 18 Reactive and onion architectures 19 The functional journey ahead

Radically improve your testing practice and software quality with new testing styles, good patterns, and reliable automation. Key Features A practical and results-driven approach to unit testing Refine your existing unit tests by implementing modern best practices Learn the four pillars of a good unit test Safely automate your testing process to save time and money Spot which tests need refactoring, and which need to be deleted entirely Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Great testing practices maximize your project quality and delivery speed by identifying bad code early in the development process. Wrong tests will break your code, multiply bugs, and increase time and costs. You owe it to yourself—and your projects—to learn how to do excellent unit testing. Unit Testing Principles, Patterns and Practices teaches you to design and write tests that target key areas of your code including the domain model. In this clearly written guide, you learn to develop professional-quality tests and test suites and integrate testing throughout the application life cycle. As you adopt a testing mindset, you’ll be amazed at how better tests cause you to write better code. What You Will Learn Universal guidelines to assess any unit test Testing to identify and avoid anti-patterns Refactoring tests along with the production code Using integration tests to verify the whole system This Book Is Written For For readers who know the basics of unit testing. Examples are written in C# and can easily be applied to any language. About the Author Vladimir Khorikov is an author, blogger, and Microsoft MVP. He has mentored numerous teams on the ins and outs of unit testing. Table of Contents: PART 1 THE BIGGER PICTURE 1 ¦ The goal of unit testing 2 ¦ What is a unit test? 3 ¦ The anatomy of a unit test PART 2 MAKING YOUR TESTS WORK FOR YOU 4 ¦ The four pillars of a good unit test 5 ¦ Mocks and test fragility 6 ¦ Styles of unit testing 7 ¦ Refactoring toward valuable unit tests PART 3 INTEGRATION TESTING 8 ¦ Why integration testing? 9 ¦ Mocking best practices 10 ¦ Testing the database PART 4 UNIT TESTING ANTI-PATTERNS 11 ¦ Unit testing anti-patterns

Radically improve your testing practice and software quality with new testing styles, good patterns, and reliable automation. Key Features A practical and results-driven approach to unit testing Refine your existing unit tests by implementing modern best practices Learn the four pillars of a good unit test Safely automate your testing process to save time and money Spot which tests need refactoring, and which need to be deleted entirely Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Great testing practices maximize your project quality and delivery speed by identifying bad code early in the development process. Wrong tests will break your code, multiply bugs, and increase time and costs. You owe it to yourself—and your projects—to learn how to do excellent unit testing. Unit Testing Principles, Patterns and Practices teaches you to design and write tests that target key areas of your code including the domain model. In this clearly written guide, you learn to develop professional-quality tests and test suites and integrate testing throughout the application life cycle. As you adopt a testing mindset, you’ll be amazed at how better tests cause you to write better code. What You Will Learn Universal guidelines to assess any unit test Testing to identify and avoid anti-patterns Refactoring tests along with the production code Using integration tests to verify the whole system This Book Is Written For For readers who know the basics of unit testing. Examples are written in C# and can easily be applied to any language. About the Author Vladimir Khorikov is an author, blogger, and Microsoft MVP. He has mentored numerous teams on the ins and outs of unit testing. Table of Contents: PART 1 THE BIGGER PICTURE 1 ¦ The goal of unit testing 2 ¦ What is a unit test? 3 ¦ The anatomy of a unit test PART 2 MAKING YOUR TESTS WORK FOR YOU 4 ¦ The four pillars of a good unit test 5 ¦ Mocks and test fragility 6 ¦ Styles of unit testing 7 ¦ Refactoring toward valuable unit tests PART 3 INTEGRATION TESTING 8 ¦ Why integration testing? 9 ¦ Mocking best practices 10 ¦ Testing the database PART 4 UNIT TESTING ANTI-PATTERNS 11 ¦ Unit testing anti-patterns

Polish your web development skills by working on real-world projects for different use-cases of full-stack web development Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Understand how the different aspects of a MERN application come together through a series of practical projects Set up frontend and backend projects that can be integrated and maintained together Enhance your proficiency in building scalable and sustainable React projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionRecent trends show deeper integration between the two, opening numerous possibilities for building real-world web applications, through server-side technologies like Node.js, Express, and MongoDB. Written by the author of Learning Redux and Learn React Hooks, and CEO of TouchLay, Modern Full-Stack React Projects will guide you through the entire process of advancing from a frontend developer to a full-stack developer. Starting with how to set up robust projects that can be maintained for a long time, you'll then progress toward developing a backend system and integrating it with the frontend. Throughout the book, you'll learn how to build, test, and deploy a blog application and a chat application. You'll also explore MongoDB, Express, React, Node.js (MERN) stack, best practices for frontend and backend development, different full-stack architectures, unit and end-to-end testing, and deployment of full-stack web applications. Once you get to grips with the essential concepts, you'll progress to learn how to use Next.js, an enterprise-grade full-stack web framework for React. By the end, you'll be well-versed in the MERN stack and all set to create performant and scalable full-stack web applications. *Email sign-up and proof of purchase requiredWhat you will learn Implement a backend using Express and MongoDB, and unit-test it with Jest Deploy full-stack web apps using Docker, set up CI/CD and end-to-end tests using Playwright Add authentication using JSON Web Tokens (JWT) Create a GraphQL backend and integrate it with a frontend using Apollo Client Build a chat app based on event-driven architecture using Socket.IO Facilitate Search Engine Optimization (SEO) and implement server-side rendering Use Next.js, an enterprise-ready full-stack framework, with React Server Components and Server Actions Who this book is for This book is for frontend developers, JavaScript engineers, and React developers who possess a solid understanding of JavaScript and React concepts. Specifically designed for those with limited experience in the development, creation, integration, and deployment of backend and full-stack systems, this book will equip you with the necessary skills to create high-quality web applications.

Summary Play for Scala shows you how to build Scala-based web applications using the Play 2 framework. This book starts by introducing Play through a comprehensive overview example. Then, you'll look at each facet of a typical Play application both by exploring simple code snippets and by adding to a larger running example. Along the way, you'll deepen your knowledge of Scala as a programming language and work with tools like Akka. About this Book Play is a Scala web framework with built-in advantages: Scala's strong type system helps deliver bug-free code, and the Akka framework helps achieve hassle-free concurrency and peak performance. Play builds on the web's stateless nature for excellent scalability, and because it is event-based and nonblocking, you'll find it to be great for near real-time applications. Play for Scala teaches you to build Scala-based web applications using Play 2. It gets you going with a comprehensive overview example. It then explores each facet of a typical Play application by walking through sample code snippets and adding features to a running example. Along the way, you'll deepen your knowledge of Scala and learn to work with tools like Akka. Written for readers familiar with Scala and web-based application architectures. No knowledge of Play is assumed. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. What's Inside Intro to Play 2 Play's MVC structure Mastering Scala templates and forms Persisting data and using web services Using Play's advanced features About the Authors Peter Hiltonv , Erik Bakker , and Francisco Canedo , are engineers at Lunatech, a consultancy with Scala and Play expertise. They are contributors to the Play framework. Table of Contents PART 1: GETTING STARTED Introduction to Play Your first Play application PART 2: CORE FUNCTIONALITY Deconstructing Play application architecture Defining the application's HTTP interface Storing data—the persistence layer Building a user interface with view templates Validating and processing input with the forms API PART 3: ADVANCED CONCEPTS Building a single-page JavaScript application with JSON Play and more Web services, iteratees, and WebSockets

USB-A auf Micro-USB Kabel 1m – Ansmann Daten- und LadekabelMit dem hochwertigen USB-A zu Micro-USB Kabel (1 Meter) von Ansmann verbinden und laden Sie Ihre Geräte zuverlässig und schnell. Das vielseitige Anschluss- und Verbindungskabel punktet mit robuster Verarbeitung, praktischer Länge und universeller Kompatibilität – ideal für Alltag, Büro und unterwegs.Ob zum Daten übertragen, Geräte synchronisieren oder schnelles Laden: Mit diesem USB 2.0 Kabel sichern Sie sich eine stabile Verbindung zwischen PC, Notebook, Ladeadapter oder Powerbank und Ihren Micro-USB-Geräten wie Smartphones, Tablets, Kameras oder externen Festplatten. Vielseitige Anwendung: Perfekt zum Laden und Datenaustausch zwischen USB-A fähigen Geräten und allen Geräten mit Micro-USB Anschluss. Optimale Kabellänge: Mit 1 Meter Länge bietet das Kabel genug Spielraum für flexible Nutzung und vermeidet unnötigen Kabelsalat am Arbeitsplatz. Langlebiges Material: Das Anschlusss- und Ladekabel besteht aus widerstandsfähigem Kunststoff mit verstärkten Steckern – für häufige Nutzung und hohe Lebensdauer. Modernes Design: Dezente schwarze Farbe – für Büro, Homeoffice oder die Reise. Das universelle Styling passt immer. Zuverlässige Technik: USB 2.0 Standard garantiert schnelle Datenübertragungen bis zu 480 Mbit/s sowie sicheres Laden. Breite Kompatibilität: Kompatibel mit nahezu allen Geräten mit Micro-USB Anschluss wie Android-Smartphones, Tablets, Bluetooth-Lautsprechern, E-Book-Readern, Navigationsgeräten und mehr.Schluss mit Kabeln, die ständig ausfallen: Investieren Sie in ein Daten- und Ladekabel, das hält, was es verspricht. Der handliche USB-A auf Micro-USB Adapter-Stecker ermöglicht eine blitzschnelle Verbindung – ob zu Hause, im Büro oder im Auto. Perfekt für alle, die Wert auf zuverlässige und sichere Lade- und Datentechnik legen.Ob Sie Ihr Samsung Galaxy, Kindle, Sony Xperia oder Powerbanks verbinden möchten – dieses Micro-USB Kabel liefert starke Performance und sorgt für eine stabile Verbindung zu all Ihren Endgeräten. Der Klassiker unter den Ladekabeln – ideal auch als Ersatz- oder Zweitkabel.Greifen Sie jetzt zu – für effiziente Verbindungen und stressfreies Laden im Alltag! Anschlüsse: 1x USB-A Stecker zu 1x Micro-USB Stecker Kabellänge: 1 Meter Standard: USB 2.0 (High Speed, bis zu 480 Mbit/s) Farbe: Schwarz Material: Robuster Kunststoff, verstärkte Steckverbindungen Kategorie: Daten- und Ladekabel, Verbindungskabel Kompatibel mit: Smartphones, Tablets, MP3-Player, Navigationsgeräte, externe Akkus, Kameras & mehr mit Micro-USB Anschluss

Build a data platform to the industry-leading standards set by Microsoft’s own infrastructure. Summary In Data Engineering on Azure you will learn how to: Pick the right Azure services for different data scenarios Manage data inventory Implement production quality data modeling, analytics, and machine learning workloads Handle data governance Using DevOps to increase reliability Ingesting, storing, and distributing data Apply best practices for compliance and access control Data Engineering on Azure reveals the data management patterns and techniques that support Microsoft’s own massive data infrastructure. Author Vlad Riscutia, a data engineer at Microsoft, teaches you to bring an engineering rigor to your data platform and ensure that your data prototypes function just as well under the pressures of production. You'll implement common data modeling patterns, stand up cloud-native data platforms on Azure, and get to grips with DevOps for both analytics and machine learning. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Build secure, stable data platforms that can scale to loads of any size. When a project moves from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement cloud-based data infrastructure that you can easily monitor, scale, and modify. About the book In Data Engineering on Azure you’ll learn the skills you need to build and maintain big data platforms in massive enterprises. This invaluable guide includes clear, practical guidance for setting up infrastructure, orchestration, workloads, and governance. As you go, you’ll set up efficient machine learning pipelines, and then master time-saving automation and DevOps solutions. The Azure-based examples are easy to reproduce on other cloud platforms. What's inside Data inventory and data governance Assure data quality, compliance, and distribution Build automated pipelines to increase reliability Ingest, store, and distribute data Production-quality data modeling, analytics, and machine learning About the reader For data engineers familiar with cloud computing and DevOps. About the author Vlad Riscutia is a software architect at Microsoft. Table of Contents 1 Introduction PART 1 INFRASTRUCTURE 2 Storage 3 DevOps 4 Orchestration PART 2 WORKLOADS 5 Processing 6 Analytics 7 Machine learning PART 3 GOVERNANCE 8 Metadata 9 Data quality 10 Compliance 11 Distributing data

How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. Summary Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL). Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life. With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you'll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology How much has computer vision advanced? One ride in a Tesla is the only answer you'll need. Deep learning techniques have led to exciting breakthroughs in facial recognition, interactive simulations, and medical imaging, but nothing beats seeing a car respond to real-world stimuli while speeding down the highway. About the book How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. What's inside Image classification and object detection Advanced deep learning architectures Transfer learning and generative adversarial networks DeepDream and neural style transfer Visual embeddings and image search About the reader For intermediate Python programmers. About the author Mohamed Elgendy is the VP of Engineering at Rakuten. A seasoned AI expert, he has previously built and managed AI products at Amazon and Twilio. Table of Contents PART 1 - DEEP LEARNING FOUNDATION 1 Welcome to computer vision 2 Deep learning and neural networks 3 Convolutional neural networks 4 Structuring DL projects and hyperparameter tuning PART 2 - IMAGE CLASSIFICATION AND DETECTION 5 Advanced CNN architectures 6 Transfer learning 7 Object detection with R-CNN, SSD, and YOLO PART 3 - GENERATIVE MODELS AND VISUAL EMBEDDINGS 8 Generative adversarial networks (GANs) 9 DeepDream and neural style transfer 10 Visual embeddings

Summary Google Cloud Platform in Action teaches you to build and launch applications that scale, leveraging the many services on GCP to move faster than ever. You'll learn how to choose exactly the services that best suit your needs, and you'll be able to build applications that run on Google Cloud Platform and start more quickly, suffer fewer disasters, and require less maintenance. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Thousands of developers worldwide trust Google Cloud Platform, and for good reason. With GCP, you can host your applications on the same infrastructure that powers Search, Maps, and the other Google tools you use daily. You get rock-solid reliability, an incredible array of prebuilt services, and a cost-effective, pay-only-for-what-you-use model. This book gets you started. About the Book Google Cloud Platform in Action teaches you how to deploy scalable cloud applications on GCP. Author and Google software engineer JJ Geewax is your guide as you try everything from hosting a simple WordPress web app to commanding cloud-based AI services for computer vision and natural language processing. Along the way, you'll discover how to maximize cloud-based data storage, roll out serverless applications with Cloud Functions, and manage containers with Kubernetes. Broad, deep, and complete, this authoritative book has everything you need. What's inside The many varieties of cloud storage and computing How to make cost-effective choices Hands-on code examples Cloud-based machine learning About the Reader Written for intermediate developers. No prior cloud or GCP experience required. About the Author JJ Geewax is a software engineer at Google, focusing on Google Cloud Platform and API design. Table of Contents PART 1 - GETTING STARTED What is "cloud"? Trying it out: deploying WordPress on Google Cloud The cloud data center PART 2 - STORAGE Cloud SQL: managed relational storage Cloud Datastore: document storage Cloud Spanner: large-scale SQL Cloud Bigtable: large-scale structured data Cloud Storage: object storage PART 3 - COMPUTING Compute Engine: virtual machines Kubernetes Engine: managed Kubernetes clusters App Engine: fully managed applications Cloud Functions: serverless applications Cloud DNS: managed DNS hosting PART 4 - MACHINE LEARNING Cloud Vision: image recognition Cloud Natural Language: text analysis Cloud Speech: audio-to-text conversion Cloud Translation: multilanguage machine translation Cloud Machine Learning Engine: managed machine learning PART 5 - DATA PROCESSING AND ANALYTICS BigQuery: highly scalable data warehouse Cloud Dataflow: large-scale data processing Cloud Pub/Sub: managed event publishing

The next generation of containers is here. Learn Podman directly from its creator, discover its exceptional security features, and start managing rootless containers that integrate easily into your systems. In Podman in Action you will learn how to: Build and run containers in rootless mode Develop and manage pods Use SystemD to oversee a container’s lifecycle Work with the Podman service via Python Keep your containers confined using Podman security features Manage containerized applications on edge devices Podman in Action shows you how to deploy containerized applications on Linux, Windows, and MacOS systems using Podman. Written by Daniel Walsh, who leads the Red Hat Podman team, this book teaches you how to securely manage the entire application lifecycle without human intervention. You’ll quickly get to grips with Podman’s unique advantages over Docker, and learn how easy it is to migrate your Docker-based infrastructure. It also demonstrates how, with Podman, you can easily convert containerized applications into Kubernetes-based microservices. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology It’s time to upgrade your container engine! The Podman container manager delivers flexible image layer control, seamless Kubernetes compatibility, and rootless containers that can be created, run, and managed by users without admin rights. Plus, its OCI-compliant support for the Docker API lets you shift existing containers to Podman without breaking your scripts or changing the way you work. About the book Podman in Action introduces the Podman container manager. The easy-to-follow explanations and examples give you a clear view of what containers are, how they work, and how to manage them using Podman’s powerful features. You’ll get a deep look at the Linux components Podman uses and even learn more about Docker along the way. You’ll especially appreciate author Dan Walsh’s unique insights into container security. What's inside Develop and manage pods Key security concepts including SELinux and SECCOMP Use systemd to oversee a container’s lifecycle Keep your containers confined using Podman security Manage containerized applications on edge devices Install and run Podman on MacOS and Windows About the reader For developers or system administrators experienced with Linux and Docker. About the author Daniel Walsh is a senior distinguished engineer at Red Hat, and leads the team that created Podman. Table of Contents PART 1 FOUNDATIONS 1 Podman: A next-generation container engine 2 Command line 3 Volumes 4 Pods PART 2 DESIGN 5 Customization and configuration files 6 Rootless containers PART 3 ADVANCED TOPICS 7 Integration with systemd 8 Working with Kubernetes 9 Podman as a service PART 4 CONTAINER SECURITY 10 Security container isolation 11 Additional security considerations