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Scala Design Patterns

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

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785882500
Length 382 pages
Edition 1st Edition
Languages
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Author (1):
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Ivan Nikolov Ivan Nikolov
Author Profile Icon Ivan Nikolov
Ivan Nikolov
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Table of Contents (14) Chapters Close

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

Functors

A functor is one of those terms that comes from category theory in mathematics and causes a lot of pain to developers who come into functional programming and have less mathematical background. It is a requirement for monads, and here we will try to explain it in a way that would be easy to understand.

What is a functor? In the preceding section, we looked at monoids as a way to abstract some computation and then used them in different ways for optimization or to create more complex computations. Even though some people might not agree with the correctness of this approach, let's look at functors from the same point of view—something that will abstract some specific computations.

Note

In Scala, a functor is a class that has a map method and conforms to a few laws. Let's call them functor laws.

The map method for a functor of the F[T] type takes a function from T to Y as a parameter and returns a F[Y] as a result. This will become much clearer in the next subsection...

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