Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Scala Functional Programming Patterns

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

Arrow left icon
Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783985845
Length 298 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Grokking the Functional Way FREE CHAPTER 2. Singletons, Factories, and Builders 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

Monoids


It is again pretty simple. From school math, we know that number multiplication is associative. And there is something like an identity element, 1 in case of multiplication. For example, the following expressions are equivalent:

(9*7)*2 = 9*(7*2)  

Even if we do the multiplication in any order, we get back 126. The identity element now is 1. Concatenating strings is also associative. In the following code, the identity element is "". The "Singing" + "" string is the same as "" + "Singing", and the line contains multiple strings:

((("Singing" + " In") + " The") + " Rain") 

This is the same as the one shown here:

("Singing" + " In") + (" The" + " Rain").

A data structure that obeys these rules is Monoid, and we have a natural way to use foldLeft in it, as shown in the following code:

scala> class MyMonoid {
     |   def iden = ""
     |   def f(x: String, y: String) = x.concat(y)
     | }
defined class MyMonoid
scala> val p = new MyMonoid
p: MyMonoid = MyMonoid@4e9658b5

scala...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime