Book Image

Learning Jupyter 5 - Second Edition

Book Image

Learning Jupyter 5 - Second Edition

Overview of this book

The Jupyter Notebook allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, and machine learning. Learning Jupyter 5 will help you get to grips with interactive computing using real-world examples. The book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next, you will learn to integrate the Jupyter system with different programming languages such as R, Python, Java, JavaScript, and Julia, and explore various versions and packages that are compatible with the Notebook system. Moving ahead, you will master interactive widgets and namespaces and work with Jupyter in a multi-user mode. By the end of this book, you will have used Jupyter with a big dataset and be able to apply all the functionalities you’ve explored throughout the book. You will also have learned all about the Jupyter Notebook and be able to start performing data transformation, numerical simulation, and data visualization.
Table of Contents (18 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

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 a higher-order function that takes a number to work on and a processor to apply.

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

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

These functions are not doing very much. When I ran them, it took a few seconds for the results to display. I think there is a big performance hit using higher...