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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

In this chapter, we looked into aspect-oriented programming in Scala. We now know how to separate code that normally wouldn't be possible to move into modules. This will lead to avoiding code duplication and make our programs nice with different, specialized modules.

We also showed how to create reusable components using techniques we covered in the previous chapters of this book. Components provide interfaces and have specific requirements, which could be easily satisfied using the richness of Scala. They are really relevant to design patterns because they have the same purpose—to make the code better, avoid repetition, and be able to easily test it.

In the following chapters of this book, we will start looking at some concrete design patterns with their useful features and use cases. We will start with creational design patterns as they are defined by the...

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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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