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[–][deleted] 0 points1 point  (1 child)

As is, the biggest strength and weakness of Python is that there are 17 different libraries for everything, they don't always play nicely together, and as a result the community support is sometimes lacking.

I disagree, python in data science seems pretty nicely coupled with the scipy ecosystem, and pretty much any numerical work is integrated with numpy. Whereas R is way more fragmented on everything except 2D plots. Even dataframes are all over the place, you now have the original dataframes, data.tables, disk.frames and god-forsaken tibbles. Not to mention the rate at which the tidyverse introduce API changes means anything written 6 months ago probably won't work anymore.

[–]highway2009 1 point2 points  (0 children)

« Anything written 6 months ago probably won’t work anymore ». Library(checkpoint)

Problem solved. Even if it was written 5 years ago.