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F# 4.0 Design Patterns

You're reading from   F# 4.0 Design Patterns Solve complex problems with functional thinking

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884726
Length 318 pages
Edition 1st Edition
Languages
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Author (1):
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Gene Belitski Gene Belitski
Author Profile Icon Gene Belitski
Gene Belitski
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Table of Contents (14) Chapters Close

Preface 1. Begin Thinking Functionally 2. Dissecting F# Origins and Design FREE CHAPTER 3. Basic Functions 4. Basic Pattern Matching 5. Algebraic Data Types 6. Sequences - The Core of Data Processing Patterns 7. Advanced Techniques: Functions Revisited 8. Data Crunching – Data Transformation Patterns 9. More Data Crunching 10. Type Augmentation and Generic Computations 11. F# Expert Techniques 12. F# and OOP Principles/Design Patterns 13. Troubleshooting Functional Code

The sequence: Duality of data and calculation


What makes the F# sequence so ambient and versatile is its dual nature. Being a strongly typed generic data collection, it exposes the contained data via two archetypal .NET interfaces of the System.Collections.Generic namespace, namely IEnumerable<T> (https://msdn.microsoft.com/en-us/library/9eekhta0(v=vs.110).aspx) and IEnumerator<T> (https://msdn.microsoft.com/en-us/library/78dfe2yb(v=vs.110).aspx).

These interfaces personify the classic data pull protocol, where a data consumer actively pulls data from the producer. Indeed, the type of seq<'T> in the F# is defined as the following abbreviation:

type seq<'T> = System.Collections.Generic.IEnumerable<'T> 

The preceding line of code means in practice that each F# sequence is a data collection, which can be traversed by getting an enumerator that allows you to stir through the sequence from its head towards its tail, obtaining the values of its elements. The enumerator...

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