
I send this on behalf of Cameron Laird <[email protected]>. 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. 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? 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? Cameron Laird <[email protected]> +1 281 996 8546 FAX http://phaseit.net/claird/misc.writing/publications.html

participants (3)
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Konrad Hinsen
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Rob
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Travis N. Vaught