> This is not quite accurate as stated: the problem is the combination of a data structure that is not amenable to type inference with an API that would only be efficient if type inference had perfect knowledge of the contents of a DataFrame.

Sorry if I implied otherwise - what I meant is that the current DF structure is hard for the JIT to optimize, not that this is a fundamental limitation of Julia. Just that JIT's are limited. I shouldn't have said Julia is only a small step forward, I think. A JIT gets you a long way.

> There is a lot of work being done to develop a new API that has none of these problems and provides very high performance, which demonstrates that Julia's JIT is up to the task so long as you choose an appropriate API.

Can you link to information on this? I'd love to see information on the design around this.