[SciPy-user] Polynomial interpolation

Gael Varoquaux gael.varoquaux@normalesup....
Mon Apr 28 10:57:31 CDT 2008

On Mon, Apr 28, 2008 at 08:49:06AM -0700, Ed Rahn wrote:
> Gael Varoquaux wrote:
> > On Sun, Apr 20, 2008 at 09:03:05PM -0400, Anne Archibald wrote:
> >> Reasonable, though really, is krogh_interpolate(xi, yi, x) much better
> >> than KroghInterpolator(xi, yi)(x)?

> > Yes. Some people don't understand functional/object code. We need to keep
> > scipy accesssible for them.

> It's silly not to use core features of the target language because some 
> people may not have yet learned them.

No it is not. I program in an environment, not alone, for myself. I want
my cooleagues to understand my code. I have found out that they don't
understand heavily functionnal programming. I have the choice between
voiding this style, eventhought I like it or giving up having my code
reused. Well I know what choice I make.

Don't blame these people, or if you do, then learn all the optics and
electronics they know, and come and run our experiments please (and fix
my photodiode on which I am getting only 300kHz bandwidth while I need at
least 1MHz). Computing is not their core job. I want scipy to be open to
these user, because they can thus plug in a framework to eg control an
experiment, interface to a database... This framework can be written in
an elaborate way, they will never read it, but I want the option to have
simple coding available.

One of the things my colleague like with Matlab is that it doesn't forces
them to learn new concepts. What I hate with it is that it forbids me
(who is writting the experiment-control framework) to use advanced
concepts. We need to find a middle ground between the two.



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