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

Adding JavaScript scripting to your installation


In this section, we will install JavaScript scripting on macOS and Windows. There are separate steps for getting JavaScript scripting available on your Jupyter installation for each environment. The macOS installation is very clean. The Windows installation still appears to be in flux, and I would expect the following instructions to change over time.

Adding JavaScript scripts to Jupyter on macOS or Windows

I followed the instructions for loading the JavaScript engine for Anaconda from https://github.com/n-riesco/iJavaScript. The steps are as follows:

conda install nodejsnpm install -g iJavaScriptijsinstall

At this point, starting Jupyter will provide the JavaScript (Node.js) engine as a choice, as shown in the following screenshot: