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Can someone share experience about using Numba in practice? I'm interested in use cases and the performance gain achieved.

I guess that once you have compiled the code the application will be rock solid, is this correct?

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I've tried using it twice on real code and in both cases the numba code ended up significantly slower than straight python/numpy. Admittedly I didn't bother digging into what was going on under the covers and I'm sure someone who reallyt understood numba could probably get it to work better. But as some simple magic to make your python code faster without rewriting anything, numba hasn't worked for me on real code.

This has been my experience as well for "real world" tests, although I'm still excited about the project. I think once they get a graphical annotate in place akin to `cython -a`, this will help quite a bit in terms of figuring out what is going on.

Annotations are in early alpha state: https://github.com/numba/numba/tree/annotations. Feedback/pull requests more than welcome!

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