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IPython Interactive Computing and Visualization Cookbook - Second Edition
book

IPython Interactive Computing and Visualization Cookbook - Second Edition

by Cyrille Rossant
January 2018
Beginner to intermediate
548 pages
12h 11m
English
Packt Publishing
Content preview from IPython Interactive Computing and Visualization Cookbook - Second Edition

Analyzing data with the R programming language in the Jupyter Notebook

R (http://www.r-project.org) is an open-source domain-specific programming language for statistics. Its syntax is well-adapted to statistical modeling and data analysis. By contrast, Python's syntax is typically more convenient for general-purpose programming. Luckily, Jupyter allows us to have the best of both worlds. For example, we can insert R code snippets anywhere in a normal Jupyter notebook. We can continue using Python and pandas for data loading and wrangling, and switch to R to design and fit statistical models. Using R instead of Python for these tasks is more than a matter of programming syntax; R comes with an impressive statistical toolbox.

In this recipe, we ...

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Publisher Resources

ISBN: 9781785888632