Bøger udgivet af Manning

Engineering Deep Learning Systems teaches you to design and implement an automated platform to support creating, training, and maintaining deep learning models. In it, you'll learn just enough about deep learning to understand the needs of the data scientists who will be using your system. You'll learn to gather requirements, translate them into system component design choices, and integrate those components into a cohesive whole. A complete example system and insightful exercises help you build an intuitive understanding of DL system design.

Design and develop Spring applications that are secure right from the start. In Spring Security in Action, Second Edition you will learn essential security skills. For experienced Java and Spring developers.

Build a microservices application from scratch using industry standard tools and battle-tested best practices.The best way to learn microservices development is to build something! Bootstrapping Microservices with Docker, Kubernetes, GitHub Actions, and Terraform, Second Edition guides you from zero through to a complete microservices project, including fast prototyping, development, and deployment. In Bootstrapping Microservices, Second Edition you'll get hands-on experience with microservices development skills like: Creating, configuring, and running a microservice with Node.js Building and publishing a microservice using Docker Applying automated testing Running a microservices application in development with Docker Compose Deploying microservices to a production Kubernetes cluster Implementing infrastructure as code and setting up a continuous delivery pipeline Monitoring, managing, and troubleshooting Bootstrapping Microservices with Docker, Kubernetes, GitHub Action, and Terraform has helped thousands of developers create their first microservices applications. This fully revised second edition introduces the industry-standard tools and practical skills you'll use for every microservices application. Author Ashley Davis's friendly advice and guidance helps cut down the learning curve for Docker, Terraform, and Kubernetes, showing you just what you need to know to start building. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Taking a microservices application from proof of concept to production requires many steps and a host of tools like Kubernetes, Terraform, and GitHub Actions. But where do you start? With clear, practical introductions to each concept and tool, this book guides you hands-on through designing and building your first microservices application. About the book Bootstrapping Microservices, Second Edition is your microservices mentor. It teaches you to use industry-standard tools to create a working video streaming application from the ground up. You'll learn the pillars of cloud-native development, including Terraform for configuration, Docker for packaging, and a basic Kubernetes deployment. Plus, this second edition includes coverage of GitHub Actions, continuous delivery, and Infrastructure as Code. What's inside Deploying microservices to Kubernetes Automated testing and continuous delivery Monitoring, managing, and troubleshooting About the reader Examples are in JavaScript and Node. No experience with microservices required. About the author Ashley Davis is a software craftsman, entrepreneur, and author with over 25 years of experience in software developmentfrom coding, to managing teams, to founding companies. Table of Contents 1 Why microservices? 2 Creating your first microservice 3 Publishing your first microservice 4 Data management for microservices 5 Communication between microservices 6 The road to production 7 Infrastructure as code 8 Continuous deployment 9 Automated testing for microservices 10 Shipping FlixTube 11 Healthy microservices 12 Pathways to scalability

Now in its tenth edition, this industry-leading guide to ASP.NET Core teaches everything you need to know to create easy, extensible, and cloud-native web applications.Inside Pro ASP.NET Core 7 you will learn how to: Configure the ASP.NET Core request pipeline to handle requests Create RESTful web services with MVC controllers Create HTML responses with Razor and Razor Pages Create richly interactive web applications with Blazor Access data using Entity Framework Core Authenticate requests using ASP.NET Core Identity Pro ASP.NET Core is an acclaimed bestseller, and a bible for .NET web developers. Tens of thousands of readers have benefited from its comprehensive coverage of ASP.NET’s key tools and techniques. Now in its tenth edition, this revised guide has been fully updated to .NET 7, with extensive chapters on Razor Pages, Blazor, and the MVC framework. It maintains the style and structure of popular previous editions, with content updated for ASP.NET Core’s latest evolution. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology ASP.NET Core 7 gives you everything you need to create awesome web apps in C#. This powerful framework handles anything you throw at it, from high-volume HTTP requests and RESTful web services, to efficient HTML and CSS round trips and WebAssembly for rich user interactions. About the book Pro ASP.NET Core 7 is the industry-leading guide to building web applications with ASP.NET Core. In it, you’ll build a realistic online store as you learn about web services, authentication and authorization, container deployment, and more. Author Adam Freeman’s comfortable style mentors you through advanced topics like RESTful web services, Razor Pages for HTML responses, and data access with Entity Framework Core. Engaging hands-on examples show you how each tool works in action. What's inside The ASP.NET Core request pipeline RESTful web services with MVC controllers Rich interactive applications with Blazor Authenticate requests using ASP.NET Core Identity About the reader For web developers experienced with C# and the basics of .NET. About the author Adam Freeman has written over a dozen bestselling books on software development. He has held numerous senior IT positions, most recently as CTO and COO of a global bank. The technical editor on this book is Fabio Claudio Ferracchiati. Table of Contents 1 Putting ASP.NET Core in context Part 1 2 Getting started 3 Your first ASP.NET Core application 4 Using the development tools 5 Essential C# features 6 Testing ASP.NET Core applications 7 SportsStore: A real application 8 SportsStore: Navigation and cart 9 SportsStore: Completing the cart 10 SportsStore: Administration 11 SportsStore: Security and deployment Part 2 12 Understanding the ASP.NET Core platform 13 Using URL routing 14 Using dependency injection 15 Using the platform features, part 1 16 Using the platform features, part 2 17 Working with data Part 3 18 Creating the example project 19 Creating RESTful web services 20 Advanced web service features 21 Using controllers with views, part I 22 Using controllers with views, part II 23 Using Razor Pages 24 Using view components 25 Using tag helpers 26 Using the built-in tag helpers 27 Using the forms tag helpers 28 Using model binding 29 Using model validation 30 Using filters 31 Creating form applications Part 4 32 Creating the example project 33 Using Blazor Server, part 1 34 Using Blazor Server, part 2 35 Advanced Blazor features 36 Blazor forms and data 37 Using Blazor WebAssembly 38 Using ASP.NET Core Identity 39 Applying ASP.NET Core Identity

Architecture Modernization: Socio-technical alignment of software, strategy, and structure guides readers through every part of the modernization journey, from making a compelling business case, to facilitating workshops, and upskilling your teams with new ways of working.

When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning.In Causal Inference for Data Science you will learn how to: Model reality using causal graphs Estimate causal effects using statistical and machine learning techniques Determine when to use A/B tests, causal inference, and machine learning Explain and assess objectives, assumptions, risks, and limitations Determine if you have enough variables for your analysis It's possible to predict events without knowing what causes them. Understanding causality allows you both to make data-driven predictions and also intervene to affect the outcomes. Causal Inference for Data Science shows you how to build data science tools that can identify the root cause of trends and events. You'll learn how to interpret historical data, understand customer behaviors, and empower management to apply optimal decisions. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology A/B tests or controlled trials are expensive and often unfeasible in a business environment. Causal inference is a powerful methodology that allows a data scientist to identify causes from data, even when no experiment or test has been performed. Using causal methods increases the level of confidence in business decision making by clearly connecting causes and effects. About the book Causal Inference for Data Science introduces data-centric techniques and methodologies you can use to estimate causal effects. The book dives into the relationship between causal inference and machine learning and the limitations of both. The practical techniques presented in this unique book are accessible to anyone with intermediate data science skills and require no advanced statistics! The numerous insightful examples show you how to put causal inference into practice in the real world. You'll assess the performance of advertising platforms, choose the health treatments with the most positive impact, and learn how to approach the delicate art of product pricing from a causal inference perspective. About the reader For data scientists, machine learning engineers, statisticians and economists who want to learn a machine learning approach to causal inference. About the author Aleix Ruiz de Villa is a freelance data science consultant with a PhD in mathematical analysis from the Universitat Autonoma de Barcelona. Aleix has worked in the journalism, retail, transportation and software development industries. He is the founder of the Barcelona Data Science & Machine Learning Meetup.

In Cloud Observability in Action, you will learn how to set up an observability system that learns from a cloud application's signals, logging, and monitoring using free and open-source tools. You will go beyond the traditional monitoring and build observability systems that turn application telemetry into actionable insight.

Design for Developers lays out everything you need to deliver great UX, intuitive UIs, and beautiful front-ends. You will appreciate the developer-centric perspective demonstrated through real-world websites. This book covers every part of the design process, including user research and user experience design. You will get useful techniques for visual design elements of colour, typography, and layout and learn how the components of design and UX fit together in practice. About the reader For web developers familiar with HTML, CSS, and JavaScript basics.

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.

The first edition of Functional Programming in Scala has helped over 30,000 developers discover the power of functional programming. This second edition is fully updated to Scala 3 and the latest standards of FP. Inside, youll find a serious tutorial for programmers looking to apply functional programming to improve their everyday coding practices. Functional Programming in Scala, Second Edition teaches you functional programming from first principles using the powerful Scala language. Youll develop the unique skills you need to start thinking functionally through hands-on exercises and coding challenges. New to the revised second edition, each exercise comes with extensive annotations to help you understand functional programming in-depth.

Regularization in Deep Learningdelivers practical techniques to help you build more adaptable deep learning model. Along with exploring strategies for architecture, objective function, and optimisation, you will get just enough of the theory and mathematics behind regularisation to understand the new research emerging in this important area.

Models and Algorithms for Unsupervised Learning introduces mathematical techniques, key algorithms, and Python implementations that will help you build machine learning models for unannotated data.Youll master everything from kmeans and hierarchical clustering, to advanced neural networks like GANs and Restricted Boltzmann Machines. Youll learn the business use case for different models, and master best practices for structured, text, and image data. Each new algorithm is introduced with a case study for retail, aviation, banking, and moreand youll develop a Python solution to fix each of these real-world problems. At the end of each chapter, youll find quizzes, practice datasets, and links to research papers to help you lock in what youve learned and expand your knowledge.

Publishing Python Packages teaches you how to easily share your Python code with your team and the outside world. Learn a repeatable and highly automated process for package maintenance thats based on the best practices, tools, and standards of Python packaging. Publishing Python Packages book walks you through creating a complete package, including a C extension, and guides you all the way to publishing on the Python Package Index. Youll get hands-on experience with the latest packaging tools, and learn the ins-and-outs of package testing and continuous integration. Whether youre entirely new to Python packaging or looking for optimal ways to maintain and scale your packages, this fast-paced and engaging guide is for you.

Login security is a complex problem with a simple solution: OpenID Connect. OpenID Connect in Action takes you under the hood of this reliable identity layer, showing you how to integrate OpenID Connect into a server-side web application, a single-page application (SPA), a native mobile application, APIs, and more. OpenID Connect in Action teaches you to deploy OpenID Connect to secure access to your apps. Ten-year access management veteran Prabath Siriwardena takes you in-depth with the widely adopted technology, showing you how to optimize OpenID Connect for your applications specific use cases. Youll work to secure end-to-end example applications created with React and React Native, and even develop solutions for Smart TVs and APIs.