>I haven't seen anything an "A-type" data scientist needs in R/SAS/SPSS that was intrinsic to the language and couldn't be ported to Python. I don't know what

>I haven't seen anything an "A-type" data scientist needs in R/SAS/SPSS that was intrinsic to the language and couldn't be ported to Python. I don't know what "A-Type" is so I might be misunderstanding you. For SAS at least in my Org what keeps it entrenched is Enterprise Guide and the associated environment. Having a drag and drop GUI to do the data extraction and manipulation and the analytical tasks makes it very easy for non experts to be incredibly productive. The people that use it here are Engineers (Non-software variety) and Finance accountant types. These people would not be productive writing python code (or R) but still need to use something heavier then excel for data analysis. Over the years we have chipped away at parts of SAS with things like Power BI and Azure ML Studio but I don't see python playing in the same space.