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Learning Jupyter

You're reading from  Learning Jupyter

Product type Book
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Pages 238 pages
Edition 1st Edition
Languages
Author (1):
Dan Toomey Dan Toomey
Profile icon Dan Toomey

Table of Contents (16) Chapters

Learning Jupyter
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Introduction to Jupyter Jupyter Python Scripting Jupyter R Scripting Jupyter Julia Scripting Jupyter JavaScript Coding Interactive Widgets Sharing and Converting Jupyter Notebooks Multiuser Jupyter Notebooks Jupyter Scala Jupyter and Big Data

Scala pattern matching


Scala has very useful, built-in pattern matching. Pattern matching can be used to test for exact and/or partial matches of entire values, parts of objects, and so on; you name it!

We can use this sample script for reference:

def matchTest(x: Any): Any = x match {
  case 7 => "seven"
  case "two" => 2
  case _ => "something"
}
val isItTwo = matchTest("two")
val isItTest = matchTest("test")
val isItSeven = matchTest(7)

We define a function called matchTest. It takes any kind of argument and can return any type of result (not sure if that is real-life programming!).

The keyword of interest is match. This means the function will walk down the list of choices until it gets a match on the value x passed and then returns it.

As you can see, we have numbers and strings as input and output.

The last case statement is a wildcard, catchall-if the code gets that far, it will match any argument.

We can see the output here:

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