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There is a HUGE difference between running production code and exploratory analysis. Python with Jupyter (however good in production they are) are just not fit
by mike_ivanov 10y ago
There is a HUGE difference between running production code and exploratory analysis. Python with Jupyter (however good in production they are) are just not fit for that task. After all, Python is a general-purpose programming language and R is largely a DSL designed specifically for figuring things out as quick as possible. And R is really good at it.
- sandGorgon 10y agoNot entirely true - I can understand you like R, but Pandas+Numpy is fantastic. "DSL for figuring out things aa quick as possible " is a religious statement. I suggest you spend some time on the Python side to understand how good it is. However I can quantify some of what you said - that tge ecosystem of analytics libraries is bigger in CRAN. I agree with that... however at this point, the only library I really miss is dplyr.
- deleted 10y ago[deleted]
- mike_ivanov 10y agoAlready doing both R and Python in equal proportions, thank you for the suggestion anyways.