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Learning Jupyter 5

You're reading from   Learning Jupyter 5 Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789137408
Length 282 pages
Edition 2nd Edition
Languages
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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 (14) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter Java Coding 6. Jupyter JavaScript Coding 7. Jupyter Scala 8. Jupyter and Big Data 9. Interactive Widgets 10. Sharing and Converting Jupyter Notebooks 11. Multiuser Jupyter Notebooks 12. What's Next? 13. Other Books You May Enjoy

Apache Spark


One of the tools we will be using is Apache Spark. Spark is an open source toolset for cluster computing. While we will not be using a cluster, typical usage for Spark is a larger set of machines or clusters that operate in parallel to analyze a big dataset. Installation instructions are available at https://www.dataquest.io/blog/pyspark-installation-guide.

Installing Spark on macOS

Up-to-date instructions for installing Spark are available at https://medium.freecodecamp.org/installing-scala-and-apache-spark-on-mac-os-837ae57d283f. The main steps are:

  1.  Get Homebrew from http://brew.sh. If you are doing software development on macOS, you will likely already have Homebrew.
  2. Install xcode-select: xcode-selectis used for different languages. For Spark we use Java, Scala and, of course, Spark as follows:
xcode-select -install

Again, it is likely that you will already have this for other software development tasks.

  1.  Use Homebrew to install Java:
brew cask install java
  1. Use Homebrew to install...
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