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

JavaScript Hello World Jupyter Notebook


Once installed, we can attempt the first JavaScript Notebook by clicking on the New menu and selecting JavaScript. We will name the NotebookHello, World! and put the following lines in this script:

var msg = "Hello, World!" 
console.log(msg) 

This script sets a variable and displays the contents of the variable. After entering the script and running (Cell | Run All), we will end up with a Notebook screen that looks like the following screenshot:

We should point out some of the highlights of this page:

  • We have the now-familiar language logo in the upper-right corner that depicts the type of script in use
  • There is output from every line of the Notebook
  • More importantly, we can see the true output of the Notebook (following line one) where the string is echoed
  • Otherwise, the Notebook looks as familiar as the other types we have seen

If we look at the contents of the Notebook on disk, we can see similar results as well:

{ 
  "cells": [ 
    <<same format...