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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

Generalization over specialization

Another outstanding feature of the functional paradigm is generalization. By this, I mean preferring a general solution over a concrete one, when a concrete problem can be solved by applying a general solution that is accordingly parameterized. Let's turn to our sample problem for evidence of generalization. Adjusting the functional solution to a different length of digit sequences (for example, 8 instead of 5), another math operation on the group (for example, the sum instead of the product), another aggregation property (for example, minimum instead of maximum) are mere changes of parameter values for the correspondent functions. A comparison of how much the code changes will be required in case of the other approaches, which I leave for you as an exercise.

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