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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

Thinking in verbs rather than nouns

Considering the process of data transformations in terms of verbs rather than nouns is very typical for a functional approach as functions are intuitively associated in our brains with actions, not objects. You may notice the single data item in the script Ch1_3.fsx, which is hugeNumber. The rest are few library functions combined in a certain manner, which transform the hugeNumber data item into a line of the console output. This manner of function combination allows persons reading this code to completely ignore intermediate results of the data transformations at each point where the operator >> occurs in the expression.

The less obvious corollary of this combination is the opportunity for the F# compiler to perform a so-called fusion or the manner of code optimization by merging together some adjacent data transformation steps. For example, when adjacent steps are fused together, the amount of data traversals may decrease.

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