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Scala Design Patterns

You're reading from Scala Design Patterns Design modular, clean, and scalable applications by applying proven design patterns in Scala

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788471305

Length 396 pages

Edition 2nd Edition

Languages

Scala

Concepts

Design Patterns

Author (1):

Ivan Nikolov

View More author details

Table of Contents (14) Chapters

Preface

1. The Design Patterns Out There and Setting Up Your Environment

2. Traits and Mixin Compositions FREE CHAPTER

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 One

9. Behavioral Design Patterns – Part Two

10. Functional Design Patterns – the Deep Theory

11. Applying What We Have Learned

12. Real-Life Applications

13. Other Books You May Enjoy

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Summary

This chapter was dedicated to some of the functional programming theories that seem to put many people off pure functional programming. Because the majority of explanations require a strong mathematical background, we see people avoiding the concepts covered in this chapter.

We talked about monoids, monads, and functors, and we showed some examples of how to use them and the difference between having and not having them. It turns out that we use these concepts more often than we think, but we just don't realize it.

We saw that monoids, functors, and monads can be used for a variety of purposes—performance optimization, abstraction, and removal of code duplication. Properly understanding these concepts and feeling comfortable with them might take some time initially, but after some practice, developers tend to get a much better understanding and use them much...

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Authors (1)

Nikolov

Nikolov

Ivan Nikolov is a technical architect based in London. He works in the ad tech industry and uses Scala in combination with libraries and technologies such as Spark, Hadoop, RabbitMQ, Kafka, SQL and NoSQL stores, and Akka. He also uses other JVM and scripting languages. Some of the projects Ivan has worked on include a large-scale real-time machine learning platform, batch processing solutions, and high load APIs. Ivan also likes getting involved with open source projects, whether it be to contribute or get inspiration and good ideas.

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