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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 (20) Chapters Close

F# 4.0 Design Patterns
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Preface
1. Begin Thinking Functionally FREE CHAPTER 2. Dissecting F# Origins and Design 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

Chapter 8. Data Crunching – Data Transformation Patterns

After dealing with advanced patterns of the function definition and application in the previous chapter, I want to revisit the topic that was just slightly scratched in Chapter 6, Sequences - The Core of Data Processing Patterns in connection with sequences. There, I claimed that the quite bulky Collection.seq library absorbs and implements just a handful of universal data processing patterns. Then I regrouped the library members by assigning to one of these patterns.

This chapter digs deeper into these patterns of data transformation that are applicable not only to sequences, but also to other data collections. The goal of this chapter is to help you develop the skill to convey your data processing needs with functions belonging to a handful of typical polymorphic transformation categories composed of a handful of combinators, and by operating upon data collection types that are best suitable for the task at hand. This approach allows...

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