[SciPy-user] best way of finding a function

Trevis Crane t_crane@mrl.uiuc....
Fri Apr 27 11:49:36 CDT 2007


OK thank you.  But in the generalized case, for you guys/gals who are
more experienced, when looking for a function for the first time, is
this what you usually do -- Google it?  

> -----Original Message-----
> From: scipy-user-bounces@scipy.org
[mailto:scipy-user-bounces@scipy.org] On
> Behalf Of Robert Kern
> Sent: Friday, April 27, 2007 11:43 AM
> To: SciPy Users List
> Subject: Re: [SciPy-user] best way of finding a function
> 
> Trevis Crane wrote:
> > Hi,
> >
> > One thing that makes it hard to get into using SciPy and Python is
the
> > decentralized nature of the documentation.  My problem is that I
want to
> > use the arc-hyperbolic sine function.  I have no idea where this is
in
> > order to import it (and in all likelihood I could import it from any
> > number of sources).  I can't seem to find it looking through the
> > documentation on scipy.org.  This is a specific example, but in
general
> > what's the best way of finding where some given function is in order
to
> > import it?
> 
> Well, it is numpy.arcsinh(). Googling for "numpy arcsinh" brings up
numerous
> hits including this:
> 
>   http://www.scipy.org/Numpy_Example_List
> 
> The problem is that you had to know it was called "arcsinh" rather
than
> searching for it in a (nonunique) expanded form "arc-hyperbolic sine."
This
> isn't a terribly soluble problem; we refer to it in the docstring with
the
> (possibly more correct) expanded form "inverse hyperbolic sine", a
search for
> which would have given you this:
> 
>   http://www.scipy.org/Numpy_Example_List_With_Doc
> 
> --
> Robert Kern
> 
> "I have come to believe that the whole world is an enigma, a harmless
enigma
>  that is made terrible by our own mad attempt to interpret it as
though it had
>  an underlying truth."
>   -- Umberto Eco
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