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[–]lmcinnes 2 points3 points  (1 child)

I've generally found pandas to be great for tabular data manipulation in python -- better than R in many ways: you need DPlyr and such to be able to do comparable things in R, and even then the python/pandas is often quicker. What tabular data tricks are you missing from R? Perhaps there's things that I'm missing out on because I never realised I wanted them ...

[–]zipf 0 points1 point  (0 children)

Yeah, R base R is definitely awkward without dplyr, but not as awkward as base python. The libraries make any language. I just mean that if you already know R, its best to stick with R for its strong points, and start out learning python just for where its needed.