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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 and the code performance


Sequences are, without doubt, extremely powerful members of the functional programmer tool belt. However, they are not free of gotchas that may hurt the performance badly. It is best that they are known and avoided. A few of them are as follows:

  • Unfortunate materialization, which may be either unnecessary/premature elements materialization or the other way around, missing elements materialization.

  • Data laziness, in concert with the non-preserving once current element values, can severely hurt the performance in a situation where the algorithm requires multiple traversals or where calculating elements is expensive. The developer should be able to compensate for these detrimental factors by applying patterns such as caching and/or memoization.

  • Often, when composing data processing pipelines, the developer may carelessly use a library function that unexpectedly requires them to enumerate the entire sequence. This is not necessarily a bad thing, but it should be...

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