And the numpy/scipy/ipython notebook/scikit-learn axis is driving a lot of python adoption these days. Look in any blog about beginning data mining/machine learning, odds are it'll say learn python or R.
That's true, and not incompatible with what I'm saying. I'm saying that the majority of defection from Python I hear about is defection to Go. A lot of that seems to be taking the form of loud and proud blogging, so we hear about it here. The defection rate from Python is almost certainly much lower than its overall growth rate, or it would be dying (Perl). I'm just saying, it's not an accident that people are leaving Python for Go. They want cheap and easy parallelism and concurrency. Python is great at many things, maybe even most things, but the state of affairs with parallelism is very weak. Python can expect to continue to lose people to Go until this is addressed in a real, tangible way that doesn't sound like excuse-making. I don't really expect the situation to change, because Python doesn't need it to, but the excuse-making is annoying.
Different kind of user, but... just sayin