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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

Sequence of an indefinite length as a design pattern


The conventional engineering vision of data transformations is that they occur over finite collections materialized in the memory, hence allowing these collections to be enumerated with Seq.length, yielding a number of elements. However, the F# sequences (as well as .NET IEnumerable<T> per se) grant the following generalization: in some cases, a more math-centric vision might be useful, which suggests looking at sequences as countable but not necessarily finite.

A meticulous reader may immediately object that the countable entity, when applied to practical computing, is necessarily finite because eventually, it is limited by underlying physical hardware, which comes out in boundary values, for example:

System.Int32.MaxValue = 2147483647 
System.Int64.MaxValue = 9223372036854775807L 

However, I would oppose this objection by saying that this mere consideration does not in any way limit the length of the F# sequences that might be produced...

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