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Highly Scalable Systems in .NET: Concurrency in Functional C# and F# by Riccardo Terrell

• Highly Scalable Systems in .NET: Concurrency in Functional C# and F#
• Riccardo Terrell
• Page: 450
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781491940532
• Publisher: O'Reilly Media, Incorporated

Highly Scalable Systems in .NET: Concurrency in Functional C# and F#

Ipod download book audio Highly Scalable Systems in .NET: Concurrency in Functional C# and F# by Riccardo Terrell

Writing safe concurrent programs has become a principle concern in recent years, as multicore CPUs have become more widespread. Functional languages help developers support concurrency by encouraging immutable data structures that can be passed between threads without having to worry about a shared state and avoiding side effects. This book provides information about how to write readable, more modular, and maintainable code in C# and F#, languages that function at peak performance with fewer lines of code, resulting in increased productivity and successful programs. This book will make you an expert in delivering successful high-performance solutions.

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Scala's functional programming constructs make it easy to build . reason about, especially as systems scale up in size and complexity. Java comes with a rich, thread-based concurrency library. .. A static type system provides a safety net that lets you make changes to a codebase with a high degree of  Overview: Server-Side Programming with F# Agents
Applies to: Functional Programming. Summary: This article reviews several technologies that can be used for writing server-side and concurrent systems inF#. Importance of reliability and scalability. . NET 4.0 also provides the Task Parallel Library (TPL). Tasks are highly optimized and have a very low overhead. Why your F# evangelism isn't working : fsharp - Reddit
NET and Mono projects; FsCheck - Random Generative Tests for . I write scala/C# professionally and have dabbled in F#. Scala and F# are both heavily influenced by ML, however the fact that F# doesn't have One USP of functional programming is support for concurrency - in the video above this is  An Introduction To F# Agents - F# tutorial - developer Fusion
This makes the design scalable…an application can easily consist of At thehigh-level, agents make it easier to write distributed and F# agents are a way to design concurrent systems, but they are also . F#, comparing it to C#, and talks about the functional programming mind set and h. NET to C#. Programming language for functional parallelism: F# vs Haskell
Functional programming has immutable data structures and no side effect NET garbage collector. to achieving good locality and scalability in the GHC garbage collector no choice, most idiomatic Haskell code allocates heavily anyway. of determinism from the type system, which you don't get in F#. Don Syme Answering Questions on F#, C#, Haskell and Scala - InfoQ
Bio Don Syme has had a major contribution to the design of F#. He has also participated in the design of C# generics and .NET CLR. He joined  Functional - Furniture & Decor
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Highly Scalable Systems in .NET: Concurrency in Functional C# and F#: Riccardo Terrell: 9781491940532: Books - Amazon.ca.