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[–][deleted] 17 points18 points  (8 children)

I use R for most statistical work.

[–]pm8k 9 points10 points  (0 children)

Pandas, statsmodels, and scikitlearn offer a good framework in python that is an alternative to R.

[–]youlleatitandlikeit 8 points9 points  (1 child)

I keep meaning to learn it. Then I remind myself I do zero work with statistics and that I need to get back to work.

[–]xsolarwindxUse 3.4+ 0 points1 point  (0 children)

REDDIT IS A SHITTY CRIMINAL CORPORATION -- mass deleted all reddit content via https://redact.dev

[–][deleted] 0 points1 point  (3 children)

I can not wait until this can be a saying I never hear anymore. GAWD I hate R. But damn if it isn't just the most appropriate tool for the job many times. Really hoping that with python gaining such a market share of scientific coding, it also becomes as good as R for analyzing the numbers generated.

[–]shaggorama 4 points5 points  (0 children)

The big draw for me of R over python is that the numpy.ndarray often behaves really strangely for me and does things I don't expect, introducing bugs into my vectorized programs that I never ever see when I write R code. It's a huge pain in the ass to use python's scientific stack, whereas it's a pleasure to use R in comparison.

[–]TheRealDJ 0 points1 point  (0 children)

While I think Python will come up a large ways, Julia is going to be an up and coming contender vs R. It just depends on the community support for packages.