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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 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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