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Description
Concurrency in C# Cookbook, 2/eAll Indian Reprints of O'Reilly are printed in Grayscale.'box sizing: border box; padding: 0px; margin top: 0em; margin bottom: 1em; margin left: 1em; font family: "Amazon Ember", Arial, sans serif; font size: small; background color: rgb(255, 255, 255);'If youre one of many developers still uncertain about concurrent and multithreaded development, this practical cookbook will change your mind. With more than 85 code rich recipes in this updated
All Indian Reprints of O'Reilly are printed in Grayscale.'box-sizing: border-box; padding: 0px; margin-top: 0em; margin-bottom: 1em; margin-left: 1em; font-family: "Amazon Ember", Arial, sans-serif; font-size: small; background-color: rgb(255, 255, 255);'If youre one of many developers still uncertain about concurrent and multithreaded development, this practical cookbook will change your mind. With more than 85 code-rich recipes in this updated second edition, author Stephen Cleary demonstrates parallel processing and asynchronous programming techniques using libraries and language features in .NET and C# 8.0.'box-sizing: border-box; padding: 0px; margin-top: 0em; margin-bottom: 1em; margin-left: 1em; font-family: "Amazon Ember", Arial, sans-serif; font-size: small; background-color: rgb(255, 255, 255);'Concurrency is now more common in responsive and scalable application development, but its still extremely difficult to code. The detailed solutions in this cookbook show you how modern tools raise the level of abstraction, making concurrency much easier than before. Complete with ready-to-use code and discussions about how and why solutions work, these recipes help you:
Get up to speed on concurrency and async and parallel programming
Use async and await for asynchronous operations
Enhance your code with asynchronous streams
Explore parallel programming with .NETs Task Parallel Library
Create dataflow pipelines with .NETs TPL Dataflow library
Understand the capabilities that System.Reactive builds on top of LINQ
Utilize threadsafe and immutable collections
Learn how to conduct unit testing with concurrent code
Make the thread pool work for you
Enable clean, cooperative cancellation
Examine scenarios for combining concurrent approaches
Dive into asynchronous-friendly object-oriented programming
Recognize and write adapters for code using older asynchronous styles
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