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Learning Jupyter

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

Product type Paperback

Published in Nov 2016

Publisher Packt

ISBN-13 9781785884870

Length 238 pages

Edition 1st Edition

Languages

Python

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Dan Toomey

View More author details

Table of Contents (11) Chapters

Preface

1. Introduction to Jupyter

2. Jupyter Python Scripting FREE CHAPTER

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 installed Scala for Jupyter. We used Scala coding to access data sets. We also saw how Scala can manipulate arrays. And we generated random numbers in Scala. There were examples of higher-order functions and pattern matching. We used case classes, saw examples of immutability in Scala, built collections using Scala packages, and looked at Scala traits.

In the next chapter, we will be looking at using big data in Jupyter.

The rest of the chapter is locked

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Authors (1)

Toomey

Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.

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