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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 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

Exploring reactive computations

Reactive computations are the part of concurrent computations' scope. They just stress a slightly different matter, namely the processing of general events. The processing of events may be genuinely concurrent, when one or more of simultaneously occurring events are processed without any sort of serialization or genuinely sequential if a new event is not processed until the processing of the previous one has finished.

The feature review

Usually, the event processing view akin to concurrency takes roots at the development of the systems that have user interface (UI) component(s) when sluggish processing of data coming from input devices and/or data reflecting the visual state of graphic UI components is simply unacceptable as it creates a terrible user experience (UX).

This is all good and true, but let's concentrate on an aspect not directly related to UI/UX, namely the conceptual consideration of event processing taking place. As this consideration...

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