4 ms·

I prefer Python

• kimi 10y ago
  Agree. While R's statistical stuff is much more polished, doing anything but running the regressions is a royal PITA.
  • blahi 10y ago
    You got it the other way around. Doing anything but model specification (i.e. regression) is royal PITA in python.
    • nl 10y ago
      Regression in sci-kit learn is like 2 lines. It's hard to understand where your painpoint is?
      • blahi 10y ago
        That's my point. Specification of the model is not (usually a problem). The other tasks are the problem.
  • stewbrew 10y ago
    That would be so because with R you get access to a myriad of statistical packages or because the functionality of numpy etc. is already included? IMHO the only real shortcoming is the lack of 64 bit integers, which is of course ridiculous.
• mhuffman 10y ago
  Also, if you are using models and algorithms on the backend, R is painful compared to python. If you are just doing interactive work RStudio and jupyter with well-stocked support libraries are about equivilant to me. If you want to do something not all that popular (eg. conjoint analysis) or something cutting edge (duplicating recent research results), R is pretty much the only way to go.
  • tnecniv 10y ago
    If you want to do something not all that popular (eg. conjoint analysis) or something cutting edge (duplicating recent research results), R is pretty much the only way to go. Why? Shouldn't you be able to do that in Python (or MATLAB if that's your thing)?
    • mhuffman 10y ago
      You sure can! Except you will likely have to roll your own, rather than the plug-and-play modules that seem to be released for R first (used to be MATLAB, but R seems to be the pretty new girl in class, getting all the attention).