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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st Edition
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter JavaScript Coding 6. Interactive Widgets 7. Sharing and Converting Jupyter Notebooks 8. Multiuser Jupyter Notebooks 9. Jupyter Scala 10. Jupyter and Big Data

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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