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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

Reduction to known parts over producing custom parts

One of the amazing properties of a functional paradigm differentiating it from the others is the limited need for producing custom parts at the level of manipulating data structures. Usually, functional programming newbies tend to implement their own functions for each case of data transformation. This infantile sickness normally ends with finding out from practice that pretty much any transformation upon typical data structures can be expressed as a combination of filter, map, and fold operations. I will devote a substantial amount of contents in relation to this phenomenon.

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