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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

Table of Contents (18) Chapters

Title Page

Packt Upsell

Contributors

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?

1. Other Books You May Enjoy

Leave a review - let other readers know what you think

Index

Summary

In this chapter, we installed Scala for Jupyter. We used Scala coding to access larger datasets. We saw how Scala can manipulate arrays. We generated random numbers in Scala. There were examples of higher-order functions and pattern matching. We used case classes. We saw examples of immutability in Scala. We built collections using Scala packages. Finally, we 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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