My experience is that R more often has advanced statistical packages you might want, but Python (particularly pandas) can be much faster. R's ggplot is also way

My experience is that R more often has advanced statistical packages you might want, but Python (particularly pandas) can be much faster. R's ggplot is also way better than anything in the Python ecosystem. IPython's notebook actually makes it very easy to go back and forth between R and Python: http://nbviewer.ipython.org/github/ipython/ipython/blob/3607712653c66d63e0d7f13f073bde8c0f209ba8/docs/examples/notebooks/rmagic_extension.ipynb http://nbviewer.ipython.org/github/ipython/ipython/blob/3607... I actually use this pretty routinely so I can do my data-analysis in Python and my plotting using R's ggplot. It's a little awkward, but it works.