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A comment on Why Jupyter is data scientists’ computational notebook of choice. Parent comment

Re:Why Jupyter is data scientists’ computational notebook of... by peatmoss on Tuesday October 30, 2018 @11:31AM (#18337539)
And then there is the Zelig modeling framework for R that I can’t imagine not using after having used it.

Don’t get me wrong, I like Python well enough, and knew it before I coded R. But Python is really behind R in stats support. I’d also add the tidyverse in there for general data munging.

If I want libraries I’ll use R; if I want a programming language I love I'll use Racket or maybe Clojure; if I want some libraries and an okay programming language I’ll use Python, I guess.

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Re:Why Jupyter is data scientists’ computational notebook of... by haskellandchill on Tuesday October 30, 2018 @12:48PM (#18338648)
Woa, thanks for pointing out Zelig, I needed that relogit and I didn't even know it :)
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Re:Why Jupyter is data scientists’ computational notebook of... by peatmoss on Tuesday October 30, 2018 @02:36PM (#18339964)
The counter factual simulation features are amazing and easy.
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Re:Why Jupyter is data scientists’ computational notebook of... by haskellandchill on Friday November 02, 2018 @03:21PM (#18365907)
Wondering why it hasn't got more publicity?
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