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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

Product type Paperback

Published in Aug 2018

Publisher

ISBN-13 9781789137408

Length 282 pages

Edition 2nd Edition

Languages

Java

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Dan Toomey

View More author details

Table of Contents (14) Chapters

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

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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:

Get Homebrew from http://brew.sh. If you are doing software development on macOS, you will likely already have Homebrew.
Install xcode-select: xcode...

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