[xapata]

If you're storing generic objects rather than numbers in a NumPy array, you're discarding its main benefits. Sure, you've got some extra slicing sugar for selecting columns and subsets, but comprehensions are more readable (and faster!) in many of those situations.

Duck-typing is Python's form of dynamic typing and therefore results in the speed penalty. If you want the extra speed, you'll need to give up some dynamicism. I say this now, but some of the work the core devs are doing to optimize dicts might let us have our cake and eat it too. Until then, it's a choice: flexible or fast, not both.