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Learning Jupyter 5

You're reading from   Learning Jupyter 5 Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789137408
Length 282 pages
Edition 2nd Edition
Languages
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter Java Coding 6. Jupyter JavaScript Coding 7. Jupyter Scala 8. Jupyter and Big Data 9. Interactive Widgets 10. Sharing and Converting Jupyter Notebooks 11. Multiuser Jupyter Notebooks 12. What's Next? 13. Other Books You May Enjoy

Scala case classes


A case class is a simplified type that can be used without calling new Classname(..). For example, we could have this script that defines a case class and uses it:

case class Car(brand: String, model: String) 
val buickLeSabre = Car("Buick", "LeSabre") 

So, we have a case class called Car. We make an instance of that class called buickLeSabre.

The case classes are most useful for pattern matching, since we can easily construct complex objects and examine their content. For example:

def carType(car: Car) = car match { 
  case Car("Honda", "Accord") => "sedan" 
  case Car("GM", "Denali") => "suv" 
  case Car("Mercedes", "300") => "luxury" 
  case Car("Buick", "LeSabre") => "sedan" 
  case _ => "Car: is of unknown type" 
} 
val typeOfBuick = carType(buickLeSabre) 

 

We define a pattern match block (as in the previous section of this chapter). In the match block, we look at a Car object that has brand as GM and model as Denali, and so forth. For each of the models...

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