Hello people !
First-of-all, thank you for your great service to the Python community.
I'm working for a project on porting some Octave code base towards Python. As
you can imagine, it is a lot of fun, but I sometimes come across functions that
are not (yet ?) available in the mighty NumPy package.
Namely, the expfit function, as presented
[here](https://octave.sourceforge.io/optim/function/expfit.html)
(https://octave.sourceforge.io/optim/function/expfit.html) doesn't seem to
exist. I'm currently building a replacement for it in my words (keywords I mean
;) ) but maybe a better solution would be to contribute some code into NumPy.
AFAIK, the preferred way to fit a Polynomial nowadays is to call
numpy.polynomial.polynomial.Polynomial.
Do you think that a class for `Exponential` based on that one would be an
interesting addition to NumPy ?
Thanks in advance,
Swan BOSC.
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