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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

Adding Julia scripting to your installation

We will install on Mac and Windows. There are separate steps for making Julia scripting available in your Jupyter installation.

Adding Julia scripts to Jupyter on a Mac

If you are running on a Mac, you are in luck. The Mac installation of Jupyter includes Julia 0.4.5, as can be seen in the New menu:

Adding Julia scripts to Jupyter on Windows

If you are running on a Windows machine, there are a few steps to get Julia on Jupyter. Remember, this environment was really developed for Linux.

First, we need to install Julia on your Windows machine. Navigate to the Julia download page (http://julialang.org/downloads/), download the correct version, which is Julia 0.4.5 for Windows (in my case, I used the Windows self-extracting EXE file for 32-bit machines), and run the installation with standard defaults.

Note

You must run the Julia installation as Administrator on your machine. After downloading the file, open the Downloads folder, right-click on the Julia...

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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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