[Numpy-discussion] A message from Cameron Laird
Travis N. Vaught
travis at enthought.com
Fri Sep 20 10:55:02 CDT 2002
Thought I'd reply to all since I'm including some links that are possibly
interesting to the list:
> -----Original Message-----
> From: numpy-discussion-admin at lists.sourceforge.net
> [mailto:numpy-discussion-admin at lists.sourceforge.net]On Behalf Of Konrad
> Sent: Friday, September 20, 2002 12:04 PM
> To: numpy-discussion at lists.sourceforge.net
> Subject: [Numpy-discussion] A message from Cameron Laird
> I send this on behalf of Cameron Laird <claird at phaseit.net>.
> Please reply to him, not to me.
> I have at least a couple of assignments from magazines such
> as IBM's developerWorks to report on matters that involve
> Numeric. I'd welcome contact from anyone here who wants to
> publicize his or her work with Python and Numeric.
The SciPy Toolkit (http://www.scipy.org) attacks Matlab's functionality
head-on--providing much of the functional interface symantics that Matlab
provides and much much more. It is a stated goal of many in the SciPy
development community to eliminate the need for Matlab altogether by
providing a tool that offers _all_ the functionality and better performance
(among many other things) in an open-source, truly object-oriented package.
> I have a particular interest in advantages Python and Numeric
> enjoy over such alternatives as Mathematica, IDL, SAS/IML,
> MATLAB, and so on, all of which are more narrowly targeted at
> the kinds of scientific and engineering problems tackled by
> contributors to this mailing list. What does Python do for
> you that the commercial products don't?
> I suspect that many of you will mention, in one form or
> another, Python's aptness for programming "in the large".
> Do you have specific examples of how this is clumsy in
> MATLAB, Mathematica, and so on?
> Have you tried to interface MATLAB and so on to hardware
> instrumentation or other external data sources?
The recent SciPy '02 workshop (http://www.scipy.org/site_content/scipy02)
had some presented material that tangentially addressed interfacing Matlab
and Mathematica (perhaps even in a bof, I've slept since then). You might
try the scipy-user mailing list as well. (Presentations:
http://www.scipy.org/site_content/scipy02/presentations , Mailing list:
> How do the scientists and engineers (as opposed to the
> "informaticians" or software developers) on your teams
> accept Python, compared to IDL and friends? Do scientists
> at your site program?
> Is there anything Python's missing in its competition with
> MATLAB and so on?
The aforementioned workshop included a survey that addressed these issues as
well. You can look at the aggregated results by following the link below
(it's a little raw in its layout, let me know if there is a question about
how to interpret some things).
(note: some questions were 'pick one' and others were 'pick all that
apply'--the total number of surveys turned in was 36, I think.)
> Cameron Laird <Cameron at Lairds.com> +1 281 996 8546 FAX
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