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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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Toc

Table of Contents (18) Chapters Close

Title Page
Packt Upsell
Contributors
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? 1. Other Books You May Enjoy Index

Summary


In this chapter, we added the ability to use R scripts in our Jupyter notebook. We added an R library that's not included in the standard R installation, and we made a Hello World script in R. We then saw R data access built-in libraries and some of the simpler graphics and statistics that are automatically generated. We used an R script to generate 3D graphics in a couple of different ways. We then performed a standard cluster analysis (which I think is one of the basic uses of R) and used one of the available forecasting tools. We also built a prediction model and tested its accuracy.

In the next chapter, we will learn all about Julia scripting using a Jupyter notebook.

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