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 collections

In Scala, collections are automatically mutable or immutable depending on your usage. All collections in scala.collections.immutable are immutable, and vice versa for scala.collections.immutable. Scala picks immutable collections by default, so your code will then draw automatically from the mutable collections:

var List mylist;

This happens unless you prefix your variable with immutable:

var mylist immutable.List;

We can see this in this small amount of code, for example:

var mutableList = List(1, 2, 3);
var immutableList = scala.collection.immutable.List(4, 5, 6);

As you can see in this screenshot of the notebook:

Note that Scala cheated a little here; it created a new collection when we updated immutableList, as you can see, with the variable name as real_3 instead.