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0 pointsImaCake5y ago0 comments

It seems to have been worth the caution. R has a great reputation for stability. The contrast between my experiences in R and python datascience tools is stark. Pandas syntax has changed wildly since I started learning it, but R and tidyverse hasn’t really changed at all. Admittedly pandas was in rapid and early development at the time.

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disgruntledphd25y ago

I think the R reputation for stability is entirely driven by CRAN. If your package doesn't build on the latest version of R, it is marked unavailable. This means that people can build on R-current, in a way that simply isn't possible with the state of python packaging.

Maybe Python just needs a bigger repository with more stringent rules for what will be allowed?

vharuck5y ago

CRAN is definitely one of the best "features" of R. A very strict and official repository that requires human approval. Most often, that human is part of or close to the R Core team. Most guides I've read for getting a package on CRAN have to mention not wasting the time of somebody who's likely a busy statistics professor.

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0 pointsImaCake5y ago0 comments

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disgruntledphd25y ago

Maybe Python just needs a bigger repository with more stringent rules for what will be allowed?

vharuck5y ago

j / k navigate · click thread line to collapse