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

Adding JavaScript scripting to your installation

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

Adding JavaScript scripts to Jupyter on Mac

Using JavaScript in Jupyter on Mac takes several steps. Jupyter on Mac is also known as IJavascript. The definitive site for this is specifically earmarked as providing the JavaScript kernel for Jupyter.

On the Installation page ( we can follow the guidelines given for macOS(the current operating system for Mac):

ruby -e "$(curl -fsSL"
brew install pkg-config node zeromq
sudo easy_install...