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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 used Spark functionality via Python coding for Jupyter. First, we installed the Spark additions to Jupyter on a Windows machine and a Mac machine. We wrote an initial script that just read lines from a text file. We went further and determined the word counts in that file. We added sorting to the results. There was a script to estimate Pi. We evaluated web log files for anomalies. We determined a set of prime numbers. And we evaluated a text stream for some characteristics.

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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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