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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

Summary

You learned that you can measure performance quantitatively and qualitatively. Although it is easier to have quantitative measurement than qualitative measurement, it is quite straightforward and common to have quantified data as a foundation to have qualitative analysis.

With the help of .NET tooling ecosystem and libraries available at our disposal, we can ensure the objectiveness of our performance measurement. It is also recommended to have a basic understanding of .NET CLR memory management as our foundation to have performance measurement from the perspective of qualitative analysis.

We will start exploring the aspects of performance optimizations with the knowledge and concept in this chapter, starting from F# data structures in Chapter 3, Optimizing Data Structures.

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