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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st Edition
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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 (11) Chapters Close

Preface 1. Introduction to Jupyter 2. Jupyter Python Scripting FREE CHAPTER 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter JavaScript Coding 6. Interactive Widgets 7. Sharing and Converting Jupyter Notebooks 8. Multiuser Jupyter Notebooks 9. Jupyter Scala 10. Jupyter and Big Data

Scala case classes


A case class is a simplified type that can be used without calling out new Classname(..). For example, we could have this script, which 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.

Case classes are most useful for pattern matching since we can easily construct complex objects and examine their contents. Here's an 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, we look at a Car object that has brand = GM, model = Denali, and so on. For each of the models of interest...

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