Numeric Soup
I am just starting to explore doing some scientific type data analysis
using Python, and am a little confused by the different incarnations of
modules (e.g., try Google("Python numeric").
There is SciPy, NumPy, NumArray, Numeric... I know some of these are
related and some are separate, some are oudated, etc. but can someone sort
of give a general run-down in layman's terms of what's what, what's used for
what, what depends on what, and what's current?
At this point my interest is just sort of general, fast array
manipulation and DSP.
Thanks!
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Re: Numeric Soup
Erik Johnson wrote:
> I am just starting to explore doing some scientific type data analysis
> using Python, and am a little confused by the different incarnations of
> modules (e.g., try Google("Python numeric").
>
> There is SciPy, NumPy, NumArray, Numeric... I know some of these are
> related and some are separate, some are oudated, etc. but can someone sort
> of give a general run-down in layman's terms of what's what, what's used for
> what, what depends on what, and what's current?
http://www.scipy.org/History_of_SciPy
numpy is the current array package and supercedes Numeric and numarray. scipy
provides a bunch of computational routines (linear algebra, optimization,
statistics, signal processing, etc.) built on top of numpy.
--
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
--
http://mail.python.org/mailman/listinfo/python-list
Re: Numeric Soup
On Mar 27, 9:49 am, "Erik Johnson" <[EMAIL PROTECTED]> wrote:
> I am just starting to explore doing some scientific type data analysis
> using Python, and am a little confused by the different incarnations of
> modules (e.g., try Google("Python numeric").
>
> There is SciPy, NumPy, NumArray, Numeric... I know some of these are
> related and some are separate, some are oudated, etc. but can someone sort
> of give a general run-down in layman's terms of what's what, what's used for
> what, what depends on what, and what's current?
>
> At this point my interest is just sort of general, fast array
> manipulation and DSP.
>
> Thanks!
Numeric was slow at large-arrays, so numarray was born. Well numarray
turned out to be slow at small arrays, so numpy was born. It is trying
to merge Numeric and Numpy together. As it stands Matplotlib does not
support numpy (thus my suggestion to install two of the three - my
choice: numarray + numpy)
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http://mail.python.org/mailman/listinfo/python-list
Re: Numeric Soup
Ene wrote: > As it stands Matplotlib does not > support numpy (thus my suggestion to install two of the three - my > choice: numarray + numpy) matplotlib certainly supports numpy. -- 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 -- http://mail.python.org/mailman/listinfo/python-list
Re: Numeric Soup
"Robert Kern" <[EMAIL PROTECTED]> wrote in message news:[EMAIL PROTECTED] > http://www.scipy.org/History_of_SciPy > > numpy is the current array package and supercedes Numeric and numarray. scipy > provides a bunch of computational routines (linear algebra, optimization, > statistics, signal processing, etc.) built on top of numpy. Thank you. -- http://mail.python.org/mailman/listinfo/python-list
Re: Numeric Soup
"Erik Johnson" <[EMAIL PROTECTED]> writes: > "Robert Kern" <[EMAIL PROTECTED]> wrote in message > news:[EMAIL PROTECTED] > > > http://www.scipy.org/History_of_SciPy > > > > numpy is the current array package and supercedes Numeric and numarray. > scipy > > provides a bunch of computational routines (linear algebra, optimization, > > statistics, signal processing, etc.) built on top of numpy. > > Thank you. > > Also see gsl and its python binding. http://www.gnu.org/software/gsl/ http://sourceforge.net/projects/pygsl -- Harry George PLM Engineering Architecture -- http://mail.python.org/mailman/listinfo/python-list
