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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

Infinite sequences – Scala streams


We have seen many examples of Scala's list. Lists are sequences. Moreover, lists are strict sequences. Meaning all elements of the list are constructed upfront. However, there are non-strict sequences, whose elements are constructed as needed.

A list is formed by connecting cons cells. There are two cases:

  1. 1 :: Nil

    In this case, the cons cell has a value and the empty list as a tail. This list has only one element. Let's fire up the REPL and try the following snippets:

    scala> 1 :: Nil
    res2: List[Int] = List(1)
    
  2. 1 :: 2 :: Nil

    Here, we have the cons cell having a value and another list as a tail:

    scala> (1 :: (2 :: Nil)).tail
    res11: List[Int] = List(2)
    

A list with three elements looks like the following:

scala> val p = 4 :: 5 :: 6 :: Nil 
p: List[Int] = List(4, 5, 6) 

This version, could be rewritten as:

scala> val p = (4 :: (5 :: (6 :: Nil))) 
p: List[Int] = List(4, 5, 6) 

This version, in turn, could be written as:

scala> val p = ( ( (Nil...
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