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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 2. Jupyter Python Scripting FREE CHAPTER 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 R in Jupyter

Start a new R notebook and call it R Basics. We can enter a small script just so we can see how the steps progress for an R script. Enter the following into separate cells of your notebook:

myString <- "Hello, World!"
print (myString)

You will end up with a starting screen that looks like this:

Basic R in Jupyter

We should note the aspects of the R notebook view:

  • We have the R logo in the upper-right corner. You will see this logo running in other R installations.
  • There is also the peculiar R O just below the R icon. The unfilled circle indicates that the kernel is at rest, and the filled circle indicates the kernel is working.
  • The rest of the menu items are the same as we have seen before.

This is a very simple script-set a variable in one cell then print out its value in another cell. Once executed (Cell | Run All), you will see your results:

Basic R in Jupyter

So, just as if you ran the script in an R interpreter, you get your output (with the numerical prefix). Jupyter has counted the statements...

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