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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

Many of you might have different perspectives of traits in Scala. They can be viewed not only as interfaces in other languages, but also as classes with only parameter-less constructors.

Trait parameters

The Scala programming language is quite dynamic and has evolved quickly throughout the years. According to the language creators, the Dotty project is the future of Scala and it is a place where passing parameters to traits and many other features are being tested and implemented. The main idea behind it is language simplification, and more information can be found at http://dotty.epfl.ch and https://scala-lang.org/blog/2017/05/31/first-dotty-milestone-release.html.

In the following few sections, we will see the traits from different points of view and try to give you some ideas about how they can be used.

...

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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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