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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st Edition
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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 (11) Chapters Close

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

Basic Python in Jupyter

In this chapter, we will be using Python scripts in a Jupyter Notebook. Jupyter does not interact with your scripts as much as it executes your script and records results. I think this is how Jupyter Notebooks have been extended to use other languages besides Python-the notebook just takes a script, runs it against a language engine, and records the output from the engine-all the while not really knowing what kind of script is being executed.

Similarly, I have not noticed any particular limitations when using Python in Jupyter. Some of the scripts I have run have taken a lot of time to run, used a lot of memory, opened new windows, and so on, all without failing. There are known issues running Python scripts that contain a __main__ execution loop and multithreaded applications.

We must open a Python section to our notebook to use Python coding. So, start your notebook, then, in the upper-right menu, select Python 2.

Note

I installed Jupyter in the Spring of 2016 on...

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