«

On Saturday 23 April 2011 06:57:23 sturlamolden wrote:
> On Apr 20, 9:47 am, Algis Kabaila <akaba...@pcug.org.au>
wrote:
> > Are there any modules for vector algebra (three dimensional
> > vectors, vector addition, subtraction, multiplication
> > [scalar and vector]. Could you give me a reference to such
> > module?
>
> NumPy
>
> Or one of these libraries (ctypes or Cython):
>
> BLAS (Intel MKL, ACML, ACML-GPU, GotoBLAS2, or ATLAS)
> Intel VML
> ACML-VM

Thanks for that. Last time I looked at numpy (for Python3) it
was available in source only. I know, real men do compile, but
I am an old man... I will compile if it is unavoidable, but in
case of numpy it does not seem a simple matter. Am I badly
mistaken?

euclid has another attraction - the source is readily available,
not too burdened by backward compatibility issues and relatively
easy to follow, though I "managed" to get lost in it

OldAl.
--
Algis
http://akabaila.pcug.org.au/StructuralAnalysis.pdf

On Apr 23, 2:32*am, Algis Kabaila <akaba...@pcug.org.au> wrote:

> Thanks for that. *Last time I looked at numpy (for Python3) it
> was available in source only. *I know, real men do compile, but
> I am an old man... *I will compile if it is unavoidable, but in
> case of numpy it does not seem *a simple matter. Am I badly
> mistaken?


There is a Win32 binary for Python 3.1:

http://sourceforge.net/projects/nump...s/NumPy/1.5.1/

I have not tried to compile NumPy as I use Enthought to
avoid such headaches. I value my own time enough to pay
for a subscription

http://enthought.com/



Sturla

On Saturday 23 April 2011 14:13:31 sturlamolden wrote:
> On Apr 23, 2:32 am, Algis Kabaila <akaba...@pcug.org.au>
wrote:
> > Thanks for that. Last time I looked at numpy (for Python3)
> > it was available in source only. I know, real men do
> > compile, but I am an old man... I will compile if it is
> > unavoidable, but in case of numpy it does not seem a
> > simple matter. Am I badly mistaken?
>
> There is a Win32 binary for Python 3.1:
>
> http://sourceforge.net/projects/nump...s/NumPy/1.5.1/
>
> I have not tried to compile NumPy as I use Enthought to
> avoid such headaches. I value my own time enough to pay
> for a subscription
>
> http://enthought.com/
>
>
>
> Sturla

Whilst I have Win32 officially paid for OS, never "fire it up".
I find nix systems much more interesting and convenient for
programming and consequently I use ubuntu for computing
activities. I do understand that many people prefer Win32 and
appreciate their right to use what they want. I just am at a
loss to understand *why* ...

I guess each to own taste,

OldAl.
--
Algis
http://akabaila.pcug.org.au/StructuralAnalysis.pdf

On Apr 23, 2:26*pm, Algis Kabaila <akaba...@pcug.org.au> wrote:

> I do understand that many people prefer Win32 and
> appreciate their right to use what they want. *I just am at a
> loss to understand *why* ...

For the same reason some people prefered OS/2 or
DEC to SunOS or BSD.

For the same reason some people prefer Perl or Java
to Python.

Sturla

On 4/22/11 7:32 PM, Algis Kabaila wrote:
> On Saturday 23 April 2011 06:57:23 sturlamolden wrote:
>> On Apr 20, 9:47 am, Algis Kabaila<akaba...@pcug.org.au>
> wrote:
>>> Are there any modules for vector algebra (three dimensional
>>> vectors, vector addition, subtraction, multiplication
>>> [scalar and vector]. Could you give me a reference to such
>>> module?
>>
>> NumPy
>>
>> Or one of these libraries (ctypes or Cython):
>>
>> BLAS (Intel MKL, ACML, ACML-GPU, GotoBLAS2, or ATLAS)
>> Intel VML
>> ACML-VM
>
> Thanks for that. Last time I looked at numpy (for Python3) it
> was available in source only. I know, real men do compile, but
> I am an old man... I will compile if it is unavoidable, but in
> case of numpy it does not seem a simple matter. Am I badly
> mistaken?

On UNIX machines with compilers and headers properly installed, it's really
pretty straightforward.

--
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

On Apr 25, 4:49*am, Robert Kern <robert.k...@gmail.com> wrote:
> On 4/22/11 7:32 PM, Algis Kabaila wrote:
>
>
>
> > On Saturday 23 April 2011 06:57:23 sturlamolden wrote:
> >> On Apr 20, 9:47 am, Algis Kabaila<akaba...@pcug.org.au>
> > wrote:
> >>> Are there any modules for vector algebra (three dimensional
> >>> vectors, vector addition, subtraction, multiplication
> >>> [scalar and vector]. Could you give me a reference to such
> >>> module?
>
> >> NumPy
>
> >> Or one of these libraries (ctypes or Cython):
>
> >> BLAS (Intel MKL, ACML, ACML-GPU, GotoBLAS2, or ATLAS)
> >> Intel VML
> >> ACML-VM
>
> > Thanks for that. *Last time I looked at numpy (for Python3) it
> > was available in source only. *I know, real men do compile, but
> > I am an old man... *I will compile if it is unavoidable, but in
> > case of numpy it does not seem *a simple matter. Am I badly
> > mistaken?
>
> On UNIX machines with compilers and headers properly installed, it's really
> pretty straightforward.

Mostly (on ubuntu/debian) that means do this [Untested]
$ aptitude build-dep python-numpy
Then you should be ready to build/compile numpy from source

On Monday 25 April 2011 12:59:38 rusi wrote:
> On Apr 25, 4:49 am, Robert Kern <robert.k...@gmail.com> wrote:
> > On 4/22/11 7:32 PM, Algis Kabaila wrote:
> > > On Saturday 23 April 2011 06:57:23 sturlamolden wrote:
> > >> On Apr 20, 9:47 am, Algis Kabaila<akaba...@pcug.org.au>
> > >
> > > wrote:
> > >>> Are there any modules for vector algebra (three
> > >>> dimensional vectors, vector addition, subtraction,
> > >>> multiplication [scalar and vector]. Could you give me
> > >>> a reference to such module?
> > >>
> > >> NumPy
> > >>
> > >> Or one of these libraries (ctypes or Cython):
> > >>
> > >> BLAS (Intel MKL, ACML, ACML-GPU, GotoBLAS2, or ATLAS)
> > >> Intel VML
> > >> ACML-VM
> > >
> > > Thanks for that. Last time I looked at numpy (for
> > > Python3) it was available in source only. I know, real
> > > men do compile, but I am an old man... I will compile
> > > if it is unavoidable, but in case of numpy it does not
> > > seem a simple matter. Am I badly mistaken?
> >
> > On UNIX machines with compilers and headers properly
> > installed, it's really pretty straightforward.
>
> Mostly (on ubuntu/debian) that means do this [Untested]
> $ aptitude build-dep python-numpy
> Then you should be ready to build/compile numpy from source

Thank you, Robert and Rusi,

I will try it RSN, but first the latest version of ubuntu that
should become available this week (including today?!).

OldAl.
--
Algis
http://akabaila.pcug.org.au/StructuralAnalysis.pdf

On Apr 20, 2:43*pm, Andreas Tawn <andreas.t...@ubisoft.com> wrote:
> > Algis Kabaila <akaba...@pcug.org.au> writes:
>
> > > Are there any modules for vector algebra (three dimensional
> > > vectors, vector addition, subtraction, multiplication [scalar
> > > and vector]. Could you give me a reference to such module?
>
> > NumPy has array (and matrix) types with support for these basic
> > operations you mention. See the tutorial athttp://numpy.scipy.org/
>
> You might also want to considerhttp://code.google.com/p/pyeuclid/
>
> Cheers,
>
> Drea


Stealing this from Casey Duncan's recent post to the Grease users
list:


- (ab)use complex numbers for 2D vectors (only). Very fast arithmetic
and built-in to Python. Downside is lack of abstraction.

- Use pyeuclid (pure python) if ultimate speed isn't an issue, or if
compiled extensions are. It supports 3D and has a nice api

- vectypes is a more recent project from the same author as pyeuclid.
It offers a more consistent 'GLSL' like interface, including
swizzling, and internally seems to have more maintainable code because
it generates various sizes of vector and matrix from a single
template. This is done without performance penalty because the
generation is done at design time, not runtime.

- Use pyeigen if you want fast vectors, and don't mind compiling some
C/C++. I don't know how the Python api looks though

- Use numpy if you want fast batch operations

On Monday 25 April 2011 20:49:34 Jonathan Hartley wrote:
> On Apr 20, 2:43 pm, Andreas Tawn <andreas.t...@ubisoft.com>
wrote:
> > > Algis Kabaila <akaba...@pcug.org.au> writes:
> > > > Are there any modules for vector algebra (three
> > > > dimensional vectors, vector addition, subtraction,
> > > > multiplication [scalar and vector]. Could you give me
> > > > a reference to such module?
> > >
> > > NumPy has array (and matrix) types with support for these
> > > basic operations you mention. See the tutorial
> > > athttp://numpy.scipy.org/
> >
> > You might also want to
> > considerhttp://code.google.com/p/pyeuclid/
> >
> > Cheers,
> >
> > Drea
>
> Stealing this from Casey Duncan's recent post to the Grease
> users list:
>
>
> - (ab)use complex numbers for 2D vectors (only). Very fast
> arithmetic and built-in to Python. Downside is lack of
> abstraction.
>
> - Use pyeuclid (pure python) if ultimate speed isn't an
> issue, or if compiled extensions are. It supports 3D and has
> a nice api
>
> - vectypes is a more recent project from the same author as
> pyeuclid. It offers a more consistent 'GLSL' like interface,
> including swizzling, and internally seems to have more
> maintainable code because it generates various sizes of
> vector and matrix from a single template. This is done
> without performance penalty because the generation is done
> at design time, not runtime.
>
> - Use pyeigen if you want fast vectors, and don't mind
> compiling some C/C++. I don't know how the Python api looks
> though
>
> - Use numpy if you want fast batch operations
Jonathan,

Thank you for a nice and extensive list of references. To
clarify my position - surprisingly, speed is not an issue- I've
programmed a matrix in pure python (3, but mainly iwth python 2
syntax) and found that inversion was quite fast enough for my
requirements.

Good vector algebra is necessary for 3 D frame analysis, so a
vector package is indicated. numpy is great, but it is a tool
like a sledge to drive a nail...

OldAl.
--
Algis
http://akabaila.pcug.org.au/StructuralAnalysis.pdf