Perf regression in 0.13+ for df.apply
On this page:
http://pandas.pydata.org/pandas-docs/stable/enhancingperf.html#enhancingperf

Right after In[11]: displays timing results, the text suggests we have seen a 10x speedup compared with the original code.  It looks like the original code runs in 336ms/loop.  And the code executed in In[11] executes in 105ms/loop.

So only 3x speedup, right?

(Edit) And then later on, after In[14], the text suggests a 3x speedup but that run seems to take execution from 105ms/loop down to 2.5ms/loop = 40x speedup...
