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C# 9 and .NET 5 – Modern Cross-Platform Development

C# 9 and .NET 5 – Modern Cross-Platform Development

By : Mark J. Price
3.7 (37)
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C# 9 and .NET 5 – Modern Cross-Platform Development

C# 9 and .NET 5 – Modern Cross-Platform Development

3.7 (37)
By: Mark J. Price

Overview of this book

In C# 9 and .NET 5 – Modern Cross-Platform Development, Fifth Edition, expert teacher Mark J. Price gives you everything you need to start programming C# applications. This latest edition uses the popular Visual Studio Code editor to work across all major operating systems. It is fully updated and expanded with a new chapter on the Microsoft Blazor framework. The book’s first part teaches the fundamentals of C#, including object-oriented programming and new C# 9 features such as top-level programs, target-typed new object instantiation, and immutable types using the record keyword. Part 2 covers the .NET APIs, for performing tasks like managing and querying data, monitoring and improving performance, and working with the file system, async streams, serialization, and encryption. Part 3 provides examples of cross-platform apps you can build and deploy, such as websites and services using ASP.NET Core or mobile apps using Xamarin.Forms. The best type of application for learning the C# language constructs and many of the .NET libraries is one that does not distract with unnecessary application code. For that reason, the C# and .NET topics covered in Chapters 1 to 13 feature console applications. In Chapters 14 to 20, having mastered the basics of the language and libraries, you will build practical applications using ASP.NET Core, Model-View-Controller (MVC), and Blazor. By the end of the book, you will have acquired the understanding and skills you need to use C# 9 and .NET 5 to create websites, services, and mobile apps.
Table of Contents (23 chapters)
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22
Index

Understanding ML.NET

ML.NET is Microsoft's open source and cross-platform machine learning framework for .NET. C# developers can use their existing skills and familiarity with .NET Standard APIs to integrate custom machine learning inside their apps without knowing details about how to build and maintain machine learning models.

More Information: You can read the official announcement for ML.NET at the following link: https://devblogs.microsoft.com/dotnet/introducing-ml-net-cross-platform-proven-and-open-source-machine-learning-framework/

Today, ML.NET contains machine learning libraries created by Microsoft Research and used by Microsoft products like PowerPoint for intelligently recommending style templates based on the content of a presentation. Soon, ML.NET will also support other popular libraries like Accord.NET, CNTK, Light GBM, and TensorFlow, but we will not cover those in this book.

More Information: The Accord.NET Framework is a .NET...

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