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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

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789137408
Length 282 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (14) Chapters Close

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? 13. Other Books You May Enjoy

Julia limitations in Jupyter

I have written Julia scripts and accessed different Julia libraries without issue in Jupyter. I have not noticed any limitations on its use or any performance degradation. I imagine some aspects of Julia that are very screen dependent (such as using the Julia webstack to build a website) may be hampered by conflicting uses of the same concept.

I have repeatedly seen updates being run when I am attempting to run a Julia script, as shown in the following screenshot. I am not sure why they decided to always update the underlying tool rather than use what is in play and have the user specify whether to update libraries:

I have also noticed that once a Julia Notebook is opened, even though I have closed the page, it will still display Running on the home page. I don't recall seeing this behavior with the other script languages that are available...

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