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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

Chapter 4.  Basic Pattern Matching

This chapter continues the study of functional programming foundations that the previous chapter opened. It covers basic data pattern matching. Pattern matching is an essential feature-rich mechanism of powerful data processing that is embedded into the F# language's core.

A good grasp of the F# pattern matching features is an absolute must for an enterprise developer because most of the time, enterprise business is revolving around sophisticated data transformations in Line Of Business (LOB) applications (https://blogs.msdn.microsoft.com/dragoman/2007/07/19/what-is-a-lob-application/) and along Extract Transform Load (ETL) (https://en.wikipedia.org/wiki/Extract,_transform,_load) cycles in data warehousing and business analytics.

I intentionally narrowed down the subject of this chapter to basic pattern matching for a merely didactic reason. Usually, F# beginners first grasp pattern matching as an imperative switch on steroids or just...

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