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I thought this was interesting but the resulting code was so ugly and awkward that I would refrain from using it. I would just prototype in R and convert to Python rather than using both in this sort of Frankenstein way.

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Just as a point of interest: Why would you convert a R program into a Python program? I can't think of any benefit in terms of speed or reporting?

Speed and scale (and reporting too, I guess) are very important considerations for data analysis.

But I wouldn't see Python as being speedier or better at scale and certainly not reporting. What are your speed up and scale advantages in Python over R. (Seriously interested)

Going R to Clojure or Julia seems like a gain but Python.

Sorry for delay. I think it's just better interoperability with many other systems. R has very hacked on interoperability in my opinion but I am not an expert.

This assumes you're willing to convert someone's cutting edge statistical research package in R to Python just because the code is 'ugly and awkward'

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