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You're reading from  Learning Jupyter

Product typeBook
Published inNov 2016
Reading LevelIntermediate
PublisherPackt
ISBN-139781785884870
Edition1st Edition
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Dan Toomey
Dan Toomey
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Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey

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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 https://www.npmjs.com/package/ijavascript specifically earmarked as providing the JavaScript kernel for Jupyter.

On the Installation page (http://n-riesco.github.io/ijavascript/doc/install.md.html) we can follow the guidelines given for macOS(the current operating system for Mac):

ruby -e "$(curl -fsSL
    https://raw.githubusercontent.com/Homebrew/install/master/install)"
brew install pkg-config node zeromq
sudo easy_install...
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Learning Jupyter
Published in: Nov 2016Publisher: PacktISBN-13: 9781785884870

Author (1)

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Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey