What problems does Microsoft .NET solve? What architectural approaches does it take to solve them? How do you start using .NET -- and how do you profit from it? Get the answers to these questions and more in this entertaining, no-nonsense .NET walkthrough. The author, a well-known computer-science instructor at Harvard, covers a single topic from the top down so readers can choose how deep they want to go. Thoroughly updated and featuring three new chapters, this is the first book to read about the innovative .NET development platform.
What problems can .NET solve? What architectural approaches does it take to solve them? How do you start using .NET, and how do you profit from it? Get the answers to these questions and more in this entertaining third edition of the popular .NET walk-through—now expanded to cover .NET Framework version 1.1. The well-known author and consultant expertly covers every topic from the top down, introducing simpler concepts first and progressing into greater technical detail. By the end of this illuminating .NET walk-through, you’ll know enough about this revolutionary platform to plan for the future of software as a Web service.
Providing an overview of the ASP.NET AJAX framework with numerous examples to familiarize you with a variety of techniques and tools, this expert introduction offers hands-on instruction and examples of Web development with AJAX.
CD-ROM contains: Searchable electronic version of text -- Source code for more than 75 complete sample programs and components written in C# -- .NET Framework SDK, plus service pack 1.
A software architect’s digest of core practices, pragmatically applied Designing effective architecture is your best strategy for managing project complexity–and improving your results. But the principles and practices of software architecting–what the authors call the “science of hard decisions”–have been evolving for cloud, mobile, and other shifts. Now fully revised and updated, this book shares the knowledge and real-world perspectives that enable you to design for success–and deliver more successful solutions. In this fully updated Second Edition, you will: Learn how only a deep understanding of domain can lead to appropriate architecture Examine domain-driven design in both theory and implementation Shift your approach to code first, model later–including multilayer architecture Capture the benefits of prioritizing software maintainability See how readability, testability, and extensibility lead to code quality Take a user experience (UX) first approach, rather than designing for data Review patterns for organizing business logic Use event sourcing and CQRS together to model complex business domains more effectively Delve inside the persistence layer, including patterns and implementation.
Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft’s powerful ML.NET library, including capabilities for data processing, training, and evaluation. They present families of algorithms that can be trained to solve real-life problems, as well as deep learning techniques utilizing neural networks. The authors conclude by introducing valuable runtime services available through the Azure cloud platform and consider the long-term business vision for machine learning. · 14-time Microsoft MVP Dino Esposito and Francesco Esposito help you · Explore what’s known about how humans learn and how intelligent software is built · Discover which problems machine learning can address · Understand the machine learning pipeline: the steps leading to a deliverable model · Use AutoML to automatically select the best pipeline for any problem and dataset · Master ML.NET, implement its pipeline, and apply its tasks and algorithms · Explore the mathematical foundations of machine learning · Make predictions, improve decision-making, and apply probabilistic methods · Group data via classification and clustering · Learn the fundamentals of deep learning, including neural network design · Leverage AI cloud services to build better real-world solutions faster About This Book · For professionals who want to build machine learning applications: both developers who need data science skills and data scientists who need relevant programming skills · Includes examples of machine learning coding scenarios built using the ML.NET library
bull; There are many books on Software Engineering, and many books on .NET, but this is the first to bring them together bull; The authors use an extended case study, with each chapter building on the previous one, involving readers at every stage bull; By the end the reader has created a really cool working imaging application while learning best practices of software development in .NET
Get a head start on using the Microsoft Language Integrated Query (LINQ) Project with advance insights from two experienced developers. Data-rich applications can be difficult to create because of the tremendous differences between query languages used to access data and programming languages commonly used to write applications. This practical guide introduces LINQ, a set of extensions to the Microsoft Visual C# and Microsoft Visual Basic programming languages. Instead of traversing different language syntaxes required for accessing data from relational and hierarchical data sources, developers will learn how to write queries natively in C# or Visual Basic. Written by two experienced developers with strong ties to Microsoft's developer teams, this book introduces the LINQ architecture and classes, describes the new language features in both C# and Visual Basic, and provides code samples in both languages.
