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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

The iterator design pattern


Surfing channels on a TV acts as a stress buster for me. Switching channels back and forth is so soothing. This process of visiting channels in an order is called iteration. When we are in a hotel room, away from home, the aired channels may be different. However, the process of iteration remains the same. We visit a channel, we may spend some time watching it, and if we feel bored again, we go to the next one.

In programming, visiting each element of a data structure is routinely required. To make itself iterable, the data structures produce an iterator object. The iterator object needs to obey a contract that is laid down by the interface. For example, if the data structure produces an instance of java.lang.Iterable, then we can use Java's foreach loop to visit each element, that is, we can iterate the data structure. Let's look at the following figure:

Figure 5.1: Iterator Abstraction

The following Java code snippet shows how we can iterate various data structures...

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