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Using Python & R in Harmony
--client
pyohio
--show
pyohio_2019
--room hayscape 14878 --force
Next: 12 Leave Your Inhibitions at the Database Connection
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Marks
Author(s):
Matthew Brower, Krista Readout
Location
Hays Cape
Date
jul Sat 27
Days Raw Files
Start
July 27, 2019, 4:30 p.m.
First Raw Start
July 20, 2019, 1:16 a.m.
Duration
0:30:0
Offset
7 days, 15:13:34
End
July 27, 2019, 5 p.m.
Last Raw End
July 20, 2019, 2:16 a.m.
Chapters
00:00
Total cuts_time
22 min.
https://www.pyohio.org/2019/presentations/77
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How often do you hear the question "Python or R?" Aspiring analytics professionals often feel the need to choose & learn a 'one size fits all' language for their scripting work. There are many cases, though, where a specific library in Python or R is more effective than similar libraries in the other language. This can lead to some painful tradeoffs when selecting a single language for your work. Great news: recent developments have made leveraging both languages in the same workflow easier than ever before. In this talk, we’ll present methods for leveraging R from directly within Python environments (and vice versa). We will illustrate the use of these methods by using popular libraries to execute common analytics tasks across languages without switching development environments. Python and R are two of the most popular languages used for data analysis. They are often pitted against each other in pros and cons lists, where users feel forced to pick just one. Each has unique advantages, and it's now easier than ever to use them harmoniously. Python or R? Why not both?
Comment:
production notes
2019-07-20/01_16_26.ts
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