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Mastering Clojure

You're reading from   Mastering Clojure Understand the philosophy of the Clojure language and dive into its inner workings to unlock its advanced features, methodologies, and constructs

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Product type Paperback
Published in Mar 2016
Publisher Packt
ISBN-13 9781785889745
Length 266 pages
Edition 1st Edition
Languages
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Author (1):
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Akhil Wali Akhil Wali
Author Profile Icon Akhil Wali
Akhil Wali
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Toc

Table of Contents (14) Chapters Close

Preface 1. Working with Sequences and Patterns FREE CHAPTER 2. Orchestrating Concurrency and Parallelism 3. Parallelization Using Reducers 4. Metaprogramming with Macros 5. Composing Transducers 6. Exploring Category Theory 7. Programming with Logic 8. Leveraging Asynchronous Tasks 9. Reactive Programming 10. Testing Your Code 11. Troubleshooting and Best Practices A. References
Index

Using monoids

Let's start by exploring monoids. In order to define a monoid, we must first understand what a semigroup is.

Note

The following examples can be found in src/m_clj/c6/ monoids.clj of the book's source code.

A semigroup is an algebraic structure that supports an associative binary operation. A binary operation, say Using monoids, is termed associative if the operation Using monoids produces the same result as the operation Using monoids. A monoid is in fact a semigroup with an additional property, as we will see ahead.

The mappend function from the cats.core namespace will associatively combine a number of instances of the same type and return a new instance of the given type. If we are dealing with strings or vectors, the mappend operation is implemented by the standard concat function. Thus, strings and vectors can be combined using the mappend function, as shown here:

user> (cc/mappend "12" "34" "56")
"123456"
user> (cc/mappend [1 2] [3 4] [5 6])
[1 2 3 4 5 6...
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