Microsoft .NET is here, but COM and COM+ will be a valuable part of every Microsoft Windows programmer's toolbox for years. This in-depth programming guide explains how and where COM and COM+ fit into the new .NET world, demonstrates the new technologies that are available in .NET, and shows how to interoperate between COM/COM+ and .NET. It explains how to use Microsoft Visual Studio .NET to write traditional COM objects, how to use COM objects in .NET code, and how to use .NET objects as COM objects. It also discusses COM+ topics such as disconnected applications and subscriptions. The authors show you both theoretical and practical approaches--explaining how the mechanisms work and also providing practical advice with sample code to show how to handle interoperability. Topics covered include: The .NET view of COM and COM+ COM, COM+, and .NET Using COM components in .NET code Using .NET components in COM applications Overview of COM+ coding for .NET Writing COM code Attributed programming Active Template Library (ATL) and ATL Server Writing COM+ code A simple COM+ example Working with disconnected applications Creating subscriptions Web application scenarios Interoperability Interacting with unmanaged code Advanced interaction Working with predefined interfaces Includes sample code on the Web

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.

The CPU meter shows the problem. One core is running at 100 percent, but all the other cores are idle. Your application is CPU-bound, but you are using only a fraction of the computing power of your multicore system. What next? The answer, in a nutshell, is parallel programming. Where you once would have written the kind of sequential code that is familiar to all programmers, you now find that this no longer meets your performance goals. To use your system's CPU resources efficiently, you need to split your application into pieces that can run at the same time. This is easier said than done. Parallel programming has a reputation for being the domain of experts and a minefield of subtle, hard-to-reproduce software defects. Everyone seems to have a favorite story about a parallel program that did not behave as expected because of a mysterious bug. These stories should inspire a healthy respect for the difficulty of the problems you face in writing your own parallel programs. Fortunately, help has arrived. Microsoft Visual Studio(R) 2010 introduces a new programming model for parallelism that significantly simplifies the job. Behind the scenes are supporting libraries with sophisticated algorithms that dynamically distribute computations on multicore architectures. Proven design patterns are another source of help. A Guide to Parallel Programming introduces you to the most important and frequently used patterns of parallel programming and gives executable code samples for them, using the Task Parallel Library (TPL) and Parallel LINQ (PLINQ).

From the acclaimed authors of "Programming ASP.NET" comes this comprehensive tutorial on writing Windows applications for Microsoft's .NET platform.

Learn the best ways to exploit the networking APIs in the .NET Framework—and deliver greater flexibility, interoperability, and power to your network applications. Three network programming specialists from Microsoft demonstrate how to use the System.Net namespace, which contains the core classes for network development, across a range of scenarios—from writing your first socket-based application to developing high performance N-tier Web applications. Whether you’re a Win32-based network programmer moving to the .NET Framework or you’re an XML Web Services or .NET Remoting developer looking for a better understanding of how these technologies relate to the network, this singular reference delivers the code and instruction you need. Discover how to: Use serialization techniques—binary, XML, and SOAP—to package complex data Enable concurrent programming—and increase application flexibility—with threads and asynchronous I/O Resolve URIs without writing protocol-specific code Communicate over IP networks using DNS, IPv4, and IPv6 Learn core to advanced socket programming techniques for both client and server operations Employ the .NET Web-related classes to retrieve HTTP content—proxy servers, cookies, credentials, and more Fine?tune XML Web services in your network programs and customize the underlying HTTP protocol for optimal efficiency Write a .NET Remoting custom channel to communicate over any data transmission medium Utilize code access security, encryption technology, and HTTP authentication techniques Boost application performance and scalability by streamlining resources

Fully updated for ASP.NET MVC 3. Delve into the features, principles, and pillars of the ASP.NET MVC framework—deftly guided by web development luminary Dino Esposito. ASP.NET MVC forces developers to think in terms of distinct components—Model, View, Controller—that make it easier to manage application complexity, while allowing strict control over the markup. Plunge into the framework’s internal mechanics and gain perspectives on how to use this programming model versus Web Forms, and begin building your own MVC-based applications quickly.

The expert guide to creating production machine learning solutions with ML.NET! ML.NET brings the power of machine learning to all .NET developers— and Programming ML.NET helps you apply it in real production solutions. Modeled on Dino Esposito's best-selling Programming ASP.NET, this book takes the same scenario-based approach Microsoft's team used to build ML.NET itself. After a foundational overview of ML.NET's libraries, the authors illuminate mini-frameworks (“ML Tasks”) for regression, classification, ranking, anomaly detection, and more. For each ML Task, they offer insights for overcoming common real-world challenges. Finally, going far beyond shallow learning, the authors thoroughly introduce ML.NET neural networking. They present a complete example application demonstrating advanced Microsoft Azure cognitive services and a handmade custom Keras network— showing how to leverage popular Python tools within .NET. 14-time Microsoft MVP Dino Esposito and son Francesco Esposito show how to: Build smarter machine learning solutions that are closer to your user's needs See how ML.NET instantiates the classic ML pipeline, and simplifies common scenarios such as sentiment analysis, fraud detection, and price prediction Implement data processing and training, and “productionize” machine learning–based software solutions Move from basic prediction to more complex tasks, including categorization, anomaly detection, recommendations, and image classification Perform both binary and multiclass classification Use clustering and unsupervised learning to organize data into homogeneous groups Spot outliers to detect suspicious behavior, fraud, failing equipment, or other issues Make the most of ML.NET's powerful, flexible forecasting capabilities Implement the related functions of ranking, recommendation, and collaborative filtering Quickly build image classification solutions with ML.NET transfer learning Move to deep learning when standard algorithms and shallow learning aren't enough “Buy” neural networking via the Azure Cognitive Services API, or explore building your own with Keras and TensorFlow