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Jupyter Cookbook

You're reading from   Jupyter Cookbook Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839440
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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Toc

Table of Contents (12) Chapters Close

Preface 1. Installation and Setting up the Environment 2. Adding an Engine FREE CHAPTER 3. Accessing and Retrieving Data 4. Visualizing Your Analytics 5. Working with Widgets 6. Jupyter Dashboards 7. Sharing Your Code 8. Multiuser Jupyter 9. Interacting with Big Data 10. Jupyter Security 11. Jupyter Labs

Adding the Spark engine

Spark is an Apache project that provides an open source computing framework specially geared toward cluster computing. For our purposes, it provides a language called Spark that can be used to access Hadoop information sets.

How to do it...

We install the Spark engine and execute a Spark Jupyter script to show its working, as follows.

Installing the Spark engine

Generally, installing Spark involves two steps:

  • Installing Spark (for your environment)
  • Connecting Spark to your environment (whether standalone or clustered)

The Spark installations are...

You have been reading a chapter from
Jupyter Cookbook
Published in: Apr 2018
Publisher: Packt
ISBN-13: 9781788839440
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