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Concurrency In Net Modern Patterns Of Concurrent And Parallel Programming With Examples In C And F 1st Edition Riccardo Terrell

  • SKU: BELL-7117844
Concurrency In Net Modern Patterns Of Concurrent And Parallel Programming With Examples In C And F 1st Edition Riccardo Terrell
$ 31.00 $ 45.00 (-31%)

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Concurrency In Net Modern Patterns Of Concurrent And Parallel Programming With Examples In C And F 1st Edition Riccardo Terrell instant download after payment.

Publisher: Manning Publications
File Extension: PDF
File size: 4.24 MB
Pages: 568
Author: Riccardo Terrell
ISBN: 9781617292996, 1617292990
Language: English
Year: 2018
Edition: 1

Product desciption

Concurrency In Net Modern Patterns Of Concurrent And Parallel Programming With Examples In C And F 1st Edition Riccardo Terrell by Riccardo Terrell 9781617292996, 1617292990 instant download after payment.

Concurrency in .NET teaches you how to build concurrent and scalable programs in .NET using the functional paradigm. This intermediate-level guide is aimed at developers, architects, and passionate computer programmers who are interested in writing code with improved speed and effectiveness by adopting a declarative and pain-free programming style.
about the technology
Unlock the incredible performance built into your multi-processor machines. Concurrent applications run faster because they spread work across processor cores, performing several tasks at the same time. Modern tools and techniques on the .NET platform, including parallel LINQ, functional programming, asynchronous programming, and the Task Parallel Library, offer powerful alternatives to traditional thread-based concurrency.
about the book
Concurrency in .NET teaches you to write code that delivers the speed you need for performance-sensitive applications. Featuring examples in both C# and F#, this book guides you through concurrent and parallel designs that emphasize functional programming in theory and practice. You’ll start with the foundations of concurrency and master essential techniques and design practices to optimize code running on modern multiprocessor systems.

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