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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

Leave a review - let other readers know what you think

Jupyter and Big Data

Big data is the topic on everyone's mind. I thought it would be good to see what can be done with big data in Jupyter. One up-and-coming language for dealing with large datasets is Spark. Spark is an open source toolset. We can use Spark coding in Jupyter much like the other languages we have seen.

In this chapter, we will cover the following topics:

Installing Spark for use in Jupyter
Using Spark's features

The rest of the chapter is locked

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