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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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Vikash Sharma Vikash Sharma
Author Profile Icon Vikash Sharma
Vikash 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

Partially applied functions


Partially applied functions, as the name suggests, apply the functions partially. It means that for functions with multiple parameters in a parameter list, we don't provide a value for each of the parameters. If we don't want to provide parameters we just leave them blank. Now that we know this, let's look at a similar example to the one we looked at when learning currying. With this, you'll be able to differentiate between the two.

First, take a look at the multiple parameter functions, which we'll convert to partially applied forms:

def makeWebsite(platform: WebsitePlatform, domainName: DomainName, host: Host) = 
  println(s"Making $domainName using $platform with hosting from $host ") 

Here, makeWebsite, as we have already seen, takes three parameters, platform, domainName, and host. Take a look at an application we can create with various intermediate or partially applied functions:

object PaF extends App { 
 
  type WebsitePlatform = String 
  type DomainName...
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