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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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Traits and Mixin Compositions

Before digging into some actual design patterns, we have to make sure that many of the Scala language concepts are clear to the reader. Many of those concepts will later be used in implementing the actual design patterns, and being aware of the possibilities, limitations, and pitfalls are key factors that enable us to correctly and efficiently write code. Even though those concepts are not considered official design patterns, they could still be used to write good software. In some cases, due to the richness of Scala, some concepts could replace a design pattern by just using language features. After all, as we have already said before, design patterns are there because a programming language lacks features and is not rich enough to complete certain tasks.

The first topic that we will look into is about traits and mixin compositions. They provide...

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Scala Design Patterns - Second Edition

Published in: Apr 2018

Publisher: Packt

ISBN-13: 9781788471305

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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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