Reader small image

You're reading from  Learning Jupyter

Product typeBook
Published inNov 2016
Reading LevelIntermediate
PublisherPackt
ISBN-139781785884870
Edition1st Edition
Languages
Tools
Right arrow
Author (1)
Dan Toomey
Dan Toomey
author image
Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey

Right arrow

Scala higher-order functions


A higher-order function either takes other functions as arguments or returns a function as its result.

We can use this example script:

def squared(x: Int): Int = x * x
def cubed(x: Int): Int = x * x * x
def process(a: Int, processor: Int => Int): Int = {processor(a) }
val fiveSquared = process(5, squared)
val sevenCubed = process(7, cubed)

We define two functions; one squares the number passed and the other cubes the number passed.

Next, we define the higher-order function that takes the number to work on and the processor to apply.

Lastly, we call each one. For example, we call process() with 5 and the squared() function. The process() function passes the 5 to the squared() function and returns the result:

We take advantage of the Scala's engine automatically printing out variable values to see the result expected.

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Learning Jupyter
Published in: Nov 2016Publisher: PacktISBN-13: 9781785884870

Author (1)

author image
Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey