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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

Addressing some compile-time problems

Although REPL can help explore and tweak correct F# code, it keeps compiler errors intact, as evaluating a code snippet includes compilation by the F# compiler embedded into fsi. And I must admit that some compile-time errors may puzzle an inexperienced F# developer. Here, I will analyze several kinds of such errors and provide advice on how to get rid of them. Before I do this, you should keep in mind that because an initial defect usually gets ingested by type inference as correct code, the reported compilation error is in line with that convoluted type inference determination. That is, type inference often masks the authentic cause of an error. We will go over some occasions of this layout soon.

The if-then return value

One of the easiest-to-grasp occurrences of the similar convoluted determination takes place for the result type of F# if...then... expressions. Usually, it seems counterintuitive that this result cannot be anything but unit. Let&apos...

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