I don't think that's true. You lose some functionality, but since you can call Numba on select critical methods, it's not so bad. You can often sequester your performance-critical logic into some Numba-decorated methods, and your business elements that call out to the rest of your ecosystem are not decorated with Numba.

Or to put it another way-- if I'm using vectorized code in Numpy I can't deal with the external ecosystem from within my vectorized code either.

> The code is fast, but you lose the ability to organize your data the way you would in regular python,

Can you clarify what you mean by this? I lose the ability to organize my data the way I'd like if I'm vectorizing my code too.