R vs. Python

Over the last few days I've been reading a lot about Python taking over the R's as the primary tool of many for playing with ML/Data science [1] [2] [3]. The reasons presented made sense to me, Python is my language of choice when it comes to this kind of stuff.

Coincidentally enough, I'm right now reading Machine Learning for Hackers which uses R. I am enjoying the book so far (it's mostly about learning R for me) and will certainly try to finish it. But I would still like to ask: are there areas in ML/Data science where R would be still a better fit or is it really doomed to be used only by statisticians who created it?

[1] http://www.talyarkoni.org/blog/2013/11/18/the-homogenization-of-scientific-computing-or-why-python-is-steadily-eating-other-languages-lunch/

[2] http://blog.mikiobraun.de/2013/11/how-python-became-the-language-of-choice-for-data-science.html

[3] http://readwrite.com/2013/11/25/python-displacing-r-as-the-programming-language-for-data-science