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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

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788392822
Length 426 pages
Edition 1st Edition
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Author (1):
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 Sharma Sharma
Author Profile Icon Sharma
Sharma
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Table of Contents (16) Chapters Close

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

Type parameterization


For an introduction to type parameterization, we'll refer to two examples we've already seen to try to make some sense of it. I know you're following the chapter with interest and you've gone through the examples and concepts we've talked about, so let's do an exercise. Think of our savior, Option[T] type and try to think why you would want to pass a type (as it requires T to be a type) to Option. What purpose can it serve?

I think you've come up with some idea. Maybe you thought that by passing a type of our choice, we can make our code with the Option type work in more than one scenario. If you thought so, great! Let's call it generalizing our solution. And moreover, let's call the approach a generic approach to programming. How does it look? Let's take a look at the following code:

object TypeParameterization { 
 
  def main(args: Array[String]): Unit = { 
      val mayBeAnInteger = Some("101") 
      val mayBeADouble = Some("101.0") 
      val mayBeTrue = Some("true...
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