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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 FREE CHAPTER

2. Jupyter Python Scripting

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

Chapter 4. Jupyter Julia Scripting

Julia is a language specifically designed to be used for high performance, numerical computing. Most importantly, it differs from the previous scripting languages covered in this book (R and, to a certain extent, Python) in that Julia is a full language, not limited to data handling.

In this chapter, we will cover the following topics:

Adding Julia scripting to your installation
Basic Julia in Jupyter
Julia limitations in Jupyter
Standard Julia capabilities
Julia visualizations in Jupyter
Julia Vega plotting
Julia parallel processing
Julia control flow
Julia regular expressions
Julia unit testing

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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