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You're reading from  Jupyter for Data Science

Product typeBook
Published inOct 2017
Reading LevelBeginner
PublisherPackt
ISBN-139781785880070
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 deployed our notebook to a set of different environments. We looked into optimizations that can be made to our notebook scripts. We learned about different ways to share our notebook. Lastly, we looked into converting our notebook for users without access to Jupyter.

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Jupyter for Data Science
Published in: Oct 2017Publisher: PacktISBN-13: 9781785880070
© 2017 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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