Book Image

Learning Jupyter

By : Dan Toomey
Book Image

Learning Jupyter

By: Dan Toomey

Overview of this book

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It 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, machine learning, and much more. This book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next we’ll help you will learn to integrate Jupyter system with different programming languages such as R, Python, JavaScript, and Julia and explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you master interactive widgets, namespaces, and working with Jupyter in a multiuser mode. Towards the end, you will use Jupyter with a big data set and will apply all the functionalities learned throughout the book.
Table of Contents (16 chapters)
Learning Jupyter
About the Author
About the Reviewer

Scala traits

A trait in Scala defines a set of features that can be implemented by classes. A trait is similar to an interface in Java.

A trait can be partially implemented, forcing the user (class) of the trait to implement the details.

For example, we can have this code:

trait Color {
    def isRed(): Boolean
class Red extends Color {
    def isRed() = true
class Blue extends Color {
    def isRed() = false
var red = new Red();
var blue = new Blue();

The code creates a trait called Color with one partially implemented function, isRed. So, every class that uses Color will have to implement isRed().

We then implement two classes, Red and Blue, that extend the Color trait (this is the Scala syntax for using a trait). Since the isRed() function is partially implemented, both classes have to provide implementations for the trait function.

We can see how this operates in the following screenshot of the notebook display:

We see (in the output section at the bottom...