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Jupyter for Data Science

You're reading from  Jupyter for Data Science

Product type Book
Published in Oct 2017
Publisher Packt
ISBN-13 9781785880070
Pages 242 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Dan Toomey Dan Toomey
Profile icon Dan Toomey
LinkedIn
Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
See other products by Dan Toomey

Table of Contents (17) Chapters

Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Jupyter and Data Science Working with Analytical Data on Jupyter Data Visualization and Prediction Data Mining and SQL Queries R with Jupyter Data Wrangling Jupyter Dashboards Statistical Modeling Machine Learning Using Jupyter Optimizing Jupyter Notebooks

How to set up R for Jupyter

In the past, it was necessary to install the separate components of Jupyter, Python, and so on to have a working system. With Continuum Analytics, the process of installing Jupyter and adding the R engine to the solution set for Jupyter is easy and works on both Windows and Mac.

Assuming you have installed conda already, we have one command to add support for R programming to Jupyter:

conda install -c r r-essentials

Note

At this point, when you start Jupyter, one of the kernels listed will now be R.

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Authors (1)

Profile icon Dan Toomey
LinkedIn
Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
See other products by Dan Toomey

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