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C# 8.0 and .NET Core 3.0 – Modern Cross-Platform Development - Fourth Edition

You're reading from   C# 8.0 and .NET Core 3.0 – Modern Cross-Platform Development - Fourth Edition Build applications with C#, .NET Core, Entity Framework Core, ASP.NET Core, and ML.NET using Visual Studio Code

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Product type Book
Published in Oct 2019
Publisher Packt
ISBN-13 9781788478120
Pages 818 pages
Edition 4th Edition
Languages
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Author (1):
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Mark J. Price Mark J. Price
Author Profile Icon Mark J. Price
Mark J. Price
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Toc

Table of Contents (21) Chapters Close

1. Hello, C#! Welcome, .NET! FREE CHAPTER 2. Speaking C# 3. Controlling Flow and Converting Types 4. Writing, Debugging, and Testing Functions 5. Building Your Own Types with Object-Oriented Programming 6. Implementing Interfaces and Inheriting Classes 7. Understanding and Packaging .NET Types 8. Working with Common .NET Types 9. Working with Files, Streams, and Serialization 10. Protecting Your Data and Applications 11. Working with Databases Using Entity Framework Core 12. Querying and Manipulating Data Using LINQ 13. Improving Performance and Scalability Using Multitasking 14. Practical Applications of C# and .NET 15. Building Websites Using ASP.NET Core Razor Pages 16. Building Websites Using the Model-View-Controller Pattern 17. Building Websites Using a Content Management System 18. Building and Consuming Web Services 19. Building Intelligent Apps Using Machine Learning 20. Building Windows Desktop Apps 21. Building Cross-Platform Mobile Apps Using Xamarin.Forms

Using multiple threads with parallel LINQ

By default, only one thread is used to execute a LINQ query. Parallel LINQ (PLINQ) is an easy way to enable multiple threads to execute a LINQ query.

Good Practice: Do not assume that using parallel threads will improve the performance of your applications. Always measure real-world timings and resource usage.

Creating an app that benefits from multiple threads

To see it in action, we will start with some code that only uses a single thread to square 200 million integers. We will use the StopWatch type to measure the change in performance.

We will use operating system tools to monitor CPU and CPU core usage. If you do not have multiple CPUs or at least multiple cores, then this exercise won't show much!

  1. Create a new console application project named LinqInParallel, add it to the workspace for this chapter, and select the project as active for OmniSharp.
  2. Import the System.Diagnostics namespace...
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