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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

Type inference


I have already outlined type inference earlier in the chapter. It is a feature of F# (as well as many other languages: C#, to begin with) that stems from its property of being statically typed. By following the natural code flow direction from top to bottom and from left to right, the F# compiler is capable of deriving types of values present in the code, including function types. This ability, in turn, allows you to omit explicit type declarations from the F# code. In the end, the code can be written faster, is quite succinct, and if it compiles, is consistent type-wise.

Relying on type inference is not mandatory when writing the F# code. Adding an explicit declaration to the code may be especially meaningful in the following scenarios:

  • When the types cannot be inferred and the compiler prompts for the explicit declaration

  • If the code's author believes that providing explicit type declaration in some cases may simplify the code understanding and improve its readability

The most...

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