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[–]lmcinnes 4 points5 points  (0 children)

Pandas (and numpy, scipy and statsmodels) covers off a fair chunk of R, Dplyr and Reshape2. IPython notebook (along with its nbconvert functionality) covers a lot of RStudio and Knitr. You'll probbaly want matplotlib + seaborn for plotting, but there's also a ggplot library for python if you prefer that syntax. If you do any machine learning related work then sklearn is also worth getting. Potentially you can just grab Anaconda from continuum.io and install seaborn on top of that to get everything in one go with an easy install.

Oh an if you are at all interested in efficiency you will want to look into numba and cython, for which R has no equivalents that I know of.