Concurrency in C# Cookbook

Concurrency in C# Cookbook by Stephen Cleary, published by O’Reilly Media, Inc. in 2014, is a practical guide designed for developers navigating the complexities of concurrent and multithreaded development. This edition spans 190 pages and is presented in English, offering over 75 code-rich recipes that illustrate parallel processing and asynchronous programming techniques using .NET 4.5 and C# 5.0.
Readers will find detailed solutions that simplify the coding of concurrency, making it more accessible for responsive and scalable application development. The book covers a variety of topics, including the use of async and await for asynchronous operations, parallel programming with the Task Parallel Library, and the TPL Dataflow library for creating dataflow pipelines. Additionally, it addresses unit testing with concurrent code, thread synchronization, and other essential concepts, providing practical insights into modern programming practices.
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If you’re one of the many developers uncertain about concurrent and multithreaded development, this practical cookbook will change your mind. With more than 75 code-rich recipes, author Stephen Cleary demonstrates parallel processing and asynchronous programming techniques, using libraries and language features in .NET 4.5 and C# 5.0.Concurrency is becoming more common in responsive and scalable application development, but it’s been 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 the solution works, you get recipes for using:async and await for asynchronous operationsParallel programming with the Task Parallel LibraryThe TPL Dataflow library for creating dataflow pipelinesCapabilities that Reactive Extensions build on top of LINQUnit testing with concurrent codeInterop scenarios for combining concurrent approachesImmutable, threadsafe, and producer/consumer collectionsCancellation support in your concurrent codeAsynchronous-friendly Object-Oriented ProgrammingThread synchronization for accessing data
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