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Learning Functional Programming in Go

You're reading from   Learning Functional Programming in Go Change the way you approach your applications using functional programming in Go

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787281394
Length 670 pages
Edition 1st Edition
Languages
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Author (1):
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Lex Sheehan Lex Sheehan
Author Profile Icon Lex Sheehan
Lex Sheehan
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Table of Contents (13) Chapters Close

Preface 1. Pure Functional Programming in Go 2. Manipulating Collections FREE CHAPTER 3. Using High-Order Functions 4. SOLID Design in Go 5. Adding Functionality with Decoration 6. Applying FP at the Architectural Level 7. Functional Parameters 8. Increasing Performance Using Pipelining 9. Functors, Monoids, and Generics 10. Monads, Type Classes, and Generics 11. Category Theory That Applies 12. Miscellaneous Information and How-Tos

Domains, codomains, and morphisms


If we look closely, we can find ordered pairs of data all around us. Let's look at some statistics of Lionel Messi. The following table shows how many goals Messi scored for 10 consecutive years:

We say that the domain is set A:{2007, 2007, 2007, 2010, 2011, 2012, 2013, 2014, 2015, 2016} and the range (or codomain) is set B:{5, 6, 7, 8, 10} and that the ordered pairs are {(2007,10), (2008, 6), (2008, 8), (2010, 5), (2011, 8), (2012, 5), (2013, 5), (2014, 7), (2015, 6), (2016, 10)}.

Each year maps to a number of goals scored.

If the year where x and y was calculated by calling a function named f, we could get y by calling f(x). For example, f(2010) = 5 and f(2016) = 10.

Does the following relation make sense?

How can Messi score exactly 6 goals and exactly 7 goals and exactly 10 goals in the same year? That makes no sense, right? (Right!)

We can say that the relation of {(2007, 6), (2007, 7), (2007, 10)} which is defined by our arrows is not a function because...

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