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You're reading from  Learning Jupyter

Product typeBook
Published inNov 2016
Reading LevelIntermediate
PublisherPackt
ISBN-139781785884870
Edition1st Edition
Languages
Python
Tools
Jupyter
Concepts
Data Analysis
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Author (1)
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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Summary

In this chapter, we added the ability to use Julia scripts in your Jupyter Notebook. We added a Julia library not included in the standard Julia installation. We saw basic features of Julia in use. We outlined some of the limitations encountered using Julia in Jupyter. We displayed graphics using some of the graphics packages available, including Gadfly, Winston, Vega, and PyPlot. We saw parallel processing in action. We saw a small control flow example, and lastly, we saw how to add unit testing to your Julia script.

In the next chapter, we will learn all about using JavaScript in a Jupyter Notebook.

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Learning Jupyter
Published in: Nov 2016Publisher: PacktISBN-13: 9781785884870
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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