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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

Higher-order functions

I've mentioned on many occasions that functions are first-class entities in F# because they can be used as arguments for other functions or can be returned from other functions as results. This is exactly the indication of higher-order functions. A higher-order function may have another function as a parameter, it may return another function as a result, or it may perform both these things.

All functions are considered function values in F#; this treatment allows you to not make any distinction between functions and other kinds of values in any context where values are used. I will cover some such contexts here, namely an argument to another function, a value returned from a function, and a part of a data structure.

Anonymous functions

In some situations, it makes sense to have the ability of defining a function that does not carry the explicit name. Typically, such an ability is nice to have for functions that are the subject of manipulation by higher-order functions...

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