Gabriel Genellina wrote:
> En Tue, 05 Feb 2008 05:28:33 -0200, Marc 'BlackJack' Rintsch
> <[EMAIL PROTECTED]> escribi�:
>
>> On Mon, 04 Feb 2008 20:56:02 -0200, Gabriel Genellina wrote:
>>
>>> - the array module http://docs.python.org/lib/module-array.html provides
>>> homogeneuos arrays that may be more efficient for your application.
>>> arrays
>>> don't have a special API, you have to import the module and use its
>>> functions the same as one would do in pure Python.
>>
>> There's one special thing about it: the `buffer_info()` method returns a
>> tuple with the memory address and length (in items) of the current
>> underlying buffer. Pretty useless information in Python but handy in
>> extensions that can directly access the "raw" memory.
>
> Good to know! I didn't notice it the (only) time I had to use arrays
> from C code.
>
Thanks for the advice. I think I will read the cstype stuff because it
might mean that my calculation intensive functions (non-linear systems
and Monte Carlo stuff) can be kept unchanged ans stay compatible with
e.g. the Excel interfaces I have for them. My first attempt with
sum(i,j) was successful but sum(x,y) (FORTRAN typecast thinking) needs
apparently understanding ctypes.
Janwillem
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