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Jupyter Cookbook

You're reading from   Jupyter Cookbook Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839440
Length 238 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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 Toomey Toomey
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Toomey
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Toc

Table of Contents (17) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Installation and Setting up the Environment FREE CHAPTER 2. Adding an Engine 3. Accessing and Retrieving Data 4. Visualizing Your Analytics 5. Working with Widgets 6. Jupyter Dashboards 7. Sharing Your Code 8. Multiuser Jupyter 9. Interacting with Big Data 10. Jupyter Security 11. Jupyter Labs Index

Adding the Python 3 engine


Jupyter was originally derived from Python with the IPython project. At that time, Python 2 was the predominant version available for use. For every installation of Jupyter, the default engine provided is Python 2. There are a number of changes involved when moving from Python 2 to Python 3, especially in the underlying libraries that you may be invoking, where parameter and usage changes have occurred.

How to do it...

We will cover the installation of the Python 3 engine and make sure it is running with a script.

Installing the Python 3 engine

Assuming you have installed the standard Jupyter package, you now have Python 2 as the only engine available at the top of the Jupyter portal screen:

To upgrade to Python 3, I used the commands:

conda create -n py3k python=3 
anaconda source activate py3k 
ipython kernelspec install-self

After this, when you start Jupyter, you will have the Python 3 engine choice.

You may prefer to have the Python 2 engine also available. This could...

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