[Numpy-discussion] Numeric3
Peter Verveer
verveer at embl.de
Sun Feb 6 08:56:24 EST 2005
On Feb 6, 2005, at 5:41 PM, konrad.hinsen at laposte.net wrote:
> On 06.02.2005, at 01:06, Travis Oliphant wrote:
>
>> But MATLAB is a huge package. SciPy has been trying to do the same
>> thing. Plotting was needed and matplotlib did a great thing in
>> providing excellent plotting. I've never understood the reason for
>> matplotlib to remain separate except as evidence of the great schism
>> that was occuring in the community.
>>
>> In fact, when Eric and I began scipy, I wanted to call it pylab
>> (you'll notice I have the pylab.sourceforge.net site). I have fond
>> ties to MATLAB myself.
>
> That's actually one of the non-technical issues I have with SciPy.
> SciPy "smells" like Matlab. Which is fine for those who know and like
> Matlab, but not for those (like me) who find Matlab rather
> incompatible with their brains. SciPy, like Matlab, is based on the
> principle that all operations should be expressed in terms of arrays.
> My personal approach is that operations should be expressed in terms
> of problem-specific classes in which the internal use of arrays is an
> implementation detail.
>
> There are arguments for and against both approaches, and I think there
> is space (meme space) for both. I just mention this to point out that
> I don't expect SciPy to become the one and only scientific Python
> library that includes everything. I don't expect to contribute code to
> SciPy, for example. I wouldn't mind using it, of course, in the
> implementation of my classes, if and when the installation issues
> become less of a problem.
That more or less sums up my approach too. I tend to program in a mix
of these two approaches.
I also think there is space for both approaches. But when code goes
into a matlab-like package it may become less accessible to people who
prefer to work in the more programming oriented style. The other way
around is better: if it is accessible to all in the form of a more or
less independent package, it can be used for both approaches. This is
why I am also not going to program specifically for SciPy, but I would
program my packages to be 'scipy-ready' if that is made easy...
Peter
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