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Scala Functional Programming Patterns

You're reading from   Scala Functional Programming Patterns Grok and perform effective functional programming in Scala

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783985845
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
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Table of Contents (13) Chapters Close

Preface 1. Grokking the Functional Way 2. Singletons, Factories, and Builders FREE CHAPTER 3. Recursion and Chasing your Own Tail 4. Lazy Sequences – Being Lazy, Being Good 5. Taming Multiple Inheritance with Traits 6. Currying Favors with Your Code 7. Of Visitors and Chains of Responsibilities 8. Traversals – Mapping/Filtering/Folding/Reducing 9. Higher Order Functions 10. Actors and Message Passing 11. It's a Paradigm Shift Index

Pattern matching

Slice and dice is defined as the process of breaking something down (for example, information) into smaller parts to examine and understand it. You can get more information about slice and dice at:

http://dictionary.reference.com/browse/slice-and-dice

Let's see this technique in action. We will try to count the number of elements in List. There is already a length method defined on Lists:

scala> List(1,2,3).length
res0: Int = 3

Rolling out one of our own list teaches us something:

object Count 
extends App {
def count(list: List[Int]): Int = list match {
  case Nil => 0  // 1
  case head :: tail => 1 + count(tail) // 2
}
val l = List(1,2,3,4,5)
println(count(l)) // prints 5 
 }

The preceding code counts the number of elements in the list. We match the list against two possible cases, which are as follows:

  • The base case: The list is Nil, and an empty list matches Nil as it has zero elements, we return 0.
  • The general case: This is a list that has one or more elements...
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