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! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Scala Design Patterns

You're reading from   Scala Design Patterns Write efficient, clean, and reusable code with Scala

Arrow left icon
Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785882500
Length 382 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
 Nikolov Nikolov
Author Profile Icon Nikolov
Nikolov
Arrow right icon
View More author details
Toc

Table of Contents (20) Chapters Close

Scala Design Patterns
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
1. The Design Patterns Out There and Setting Up Your Environment FREE CHAPTER 2. Traits and Mixin Compositions 3. Unification 4. Abstract and Self Types 5. Aspect-Oriented Programming and Components 6. Creational Design Patterns 7. Structural Design Patterns 8. Behavioral Design Patterns – Part 1 9. Behavioral Design Patterns – Part 2 10. Functional Design Patterns – The Deep Theory 11. Functional Design Patterns – Applying What We Learned 12. Real-Life Applications Index

Monoids


All monoids, monads, and functors are derived from mathematics. One thing about this subject is that similarly to programming, it tries to find abstractions. If we try to map mathematics to programming, we can think about the different data types we have—Int, Double, Long, or custom data types. Each type can be characterized by the operations it supports and the laws of these operations, and this is called the algebra of the type.

Now, if we think about it, we can identify the operations that are shared by multiple types, for example, addition, multiplication, subtraction, and so on. Different types can share the same operations and they can conform to exactly the same laws. This is something we can take advantage of because this allows us to write generic programs that apply to different types that follow some specific rules.

What are monoids?

After the preceding brief introduction to monoids, let's get straight to business and look at a formal definition of a monoid:

Note

A monoid is...

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 $15.99/month. Cancel anytime
Visually different images