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 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, 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. The matchTest function 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 to the x value passed and then returns.

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

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

 

We can see the output as follows: