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Learning Scala Programming

You're reading from Learning Scala Programming Object-oriented programming meets functional reactive to create Scalable and Concurrent programs

Product type Paperback

Published in Jan 2018

Publisher Packt

ISBN-13 9781788392822

Length 426 pages

Edition 1st Edition

Languages

Scala

Tools

Akka

Concepts

Programming Language

Author (1):

Vikash Sharma

View More author details

Table of Contents (16) Chapters

1. Getting Started with Scala Programming

2. Building Blocks of Scala FREE CHAPTER

3. Shaping our Scala Program

4. Giving Meaning to Programs with Functions

5. Getting Familiar with Scala Collections

6. Object-Oriented Scala Basics

7. Next Steps in Object-Oriented Scala

8. More on Functions

9. Using Powerful Functional Constructs

10. Advanced Functional Programming

11. Working with Implicits and Exceptions

12. Introduction to Akka

13. Concurrent Programming in Scala

14. Programming with Reactive Extensions

15. Testing in Scala

16. Other Books You May Enjoy

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Traits as mix-ins

The way we do trait mix-ins is no different than inheriting any class in Scala; the only difference is that you can mix-in more than one trait and for that we have this nice keyword called with. Why do we call it mix-in? We could have called it something else. Well, yes but this explains almost everything you can do with traits. It's easy to modify or add up behaviors to an already existing functionality or construct without affecting already existing behavior. We'll see that in a bit. Traits can be used in a variety of use cases such as:

Composable mix-ins; to make already existing interfaces richer
Stackable modifications

Traits as composable mix-ins

By composable mix-ins we mean that we can create an instance of a particular type, with mix-ins of a trait, that can have certain additive functionalities. If you're thinking why would we want to do that, then the answer is maybe you want to add some particular behavior that makes sense to your functionality and you want it to...

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Authors (1)

Sharma

Sharma

Tushar Sharma has a master's degree specializing in data science from the International Institute of Information Technology, Bangalore. He works as a data scientist with Intel. In his previous job he used to work as a research engineer for a financial consultancy firm. His work involves handling big data at scale generated by the massive infrastructure at Intel. He engineers and delivers end to end solutions on this data using the latest machine learning tools and frameworks. He is proficient in R, Python, Spark, and mathematical aspects of machine learning among other things. Tushar has a keen interest in everything related to technology. He likes to read a wide array of books ranging from history to philosophy and beyond. He is a running enthusiast and likes to play badminton and tennis.

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