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F# High Performance

You're reading from   F# High Performance Increase your F# programming productivity and focus on performance optimization with best practices, expert techniques, and more

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781786468079
Length 338 pages
Edition 1st Edition
Languages
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Author (1):
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Eriawan Kusumawardhono Eriawan Kusumawardhono
Author Profile Icon Eriawan Kusumawardhono
Eriawan Kusumawardhono
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Toc

Table of Contents (9) Chapters Close

Preface 1. Performing Common Optimizations in F# FREE CHAPTER 2. Performance Measurement 3. Optimizing Data Structures 4. Introduction to Concurrency in F# 5. Advanced Concurrency Support in F# 6. Optimizing Type Provider 7. Language Features and Constructs Optimization 8. Optimizing Computation Expressions

Introducing asynchronous workflow


Asynchronous support in F# is implemented nicely using async workflow computations.

The initial release of F# 1.0 did not have it. Asynchronous workflow was introduced in F# 1.9.2.9, and it is categorized as a workflow because it is actually an implementation of a computation expression (builder) that is escalated as a language block of async. It is also a good sample of a best practice in implementing function compositions and in expressively implementing Monad. Monad is one of the functional composition implementations, an idea taken from or inspired by the category theory knowledge domain.

Function composition is actually a composition of computation operations; they can be functions or composite statements such as for loop constructs. It is also quite intuitive, and it's also easier to use as the necessary detailed composition operations are hidden. Usually, there is a bind operator to compose two functions (or computations).

The foundational theory of...

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