Re: [Numpy-discussion] find machine maximum numpy array size

2011-01-17 Thread Tom Holderness
Hi, How do I find the maximum possible array size for a given data type on a given architecture? For example if I do the following on a 32-bit Windows machine: matrix = np.zeros((8873,9400),np.dtype('f8')) I get, Traceback (most recent call last): File pyshell#115, line 1, in module

[Numpy-discussion] 64 bit Windows installers for NumPy?

2011-01-17 Thread Peter
Hi all, Are there plans to provide official 64bit Windows installers for NumPy? I'm aware that Christoph Gohlke had been able to do this, since he offers unofficial plain builds and MKL builds for NumPy here: http://www.lfd.uci.edu/~gohlke/pythonlibs/ Regards, Peter

Re: [Numpy-discussion] find machine maximum numpy array size

2011-01-17 Thread Robert Kern
On Mon, Jan 17, 2011 at 06:35, Tom Holderness tom.holdern...@newcastle.ac.uk wrote: Hi, How do I find the maximum possible array size for a given data type on a given architecture? For example if I do the following on a 32-bit Windows machine: matrix = np.zeros((8873,9400),np.dtype('f8'))

[Numpy-discussion] Strange behaviour with for loops + numpy arrays

2011-01-17 Thread Stefan Reiterer
Hi all! I made some performance tests with numpy to compare numpy on one cpu with mpi on 4 processesors, and something appears quite strange to me: I have the following code: N = 2**10*4 K = 16000 x = numpy.random.randn(N).astype(numpy.float32) x *= 10**10 print x:, x t1 = time.time() #do

[Numpy-discussion] MDP release 3.0

2011-01-17 Thread Tiziano Zito
We are glad to announce release 3.0 of the Modular toolkit for Data Processing (MDP). MDP is a Python library of widely used data processing algorithms that can be combined according to a pipeline analogy to build more complex data processing software. The base of available algorithms includes

Re: [Numpy-discussion] compatibility for supporting more than 2 versions of numpy

2011-01-17 Thread josef . pktd
On Sat, Jan 15, 2011 at 3:27 PM, josef.p...@gmail.com wrote: After upgrading to numpy 1.5.1 I got caught by some depreciated features. Given the depreciation policy of numpy, if we want to support more than two versions of numpy, then we need some conditional execution. Does anyone have any

Re: [Numpy-discussion] compatibility for supporting more than 2 versions of numpy

2011-01-17 Thread Bruce Southey
On 01/17/2011 10:32 AM, josef.p...@gmail.com wrote: On Mon, Jan 17, 2011 at 11:28 AM,josef.p...@gmail.com wrote: On Sat, Jan 15, 2011 at 3:27 PM,josef.p...@gmail.com wrote: After upgrading to numpy 1.5.1 I got caught by some depreciated features. Given the depreciation policy of numpy, if we

Re: [Numpy-discussion] Strange behaviour with for loops + numpy arrays

2011-01-17 Thread Francesc Alted
A Monday 17 January 2011 17:02:43 Stefan Reiterer escrigué: Hi all! I made some performance tests with numpy to compare numpy on one cpu with mpi on 4 processesors, and something appears quite strange to me: I have the following code: N = 2**10*4 K = 16000 x =

Re: [Numpy-discussion] Prime size FFT: bluestein transform vs general chirp/z transform ?

2011-01-17 Thread Neal Becker
I just took a look at http://www.katjaas.nl/chirpZ/chirpZ2.html I'm VERY interested in the zoom. Does the code https://github.com/cournape/numpy/tree/bluestein implement the zoom feature? ___ NumPy-Discussion mailing list

Re: [Numpy-discussion] defmatrix 1.3 versus 1.5

2011-01-17 Thread zb
I resolved the problem by commenting out two lines in my setup.py #optimize:1, #bundle_files: 2, The defmatrix lib was inside \lib\library.zip. However, the program.exe could not find it. Cheers --- On Sun, 1/16/11, zb zaub...@yahoo.com wrote:

Re: [Numpy-discussion] compatibility for supporting more than 2 versions of numpy

2011-01-17 Thread josef . pktd
On Mon, Jan 17, 2011 at 12:18 PM, Bruce Southey bsout...@gmail.com wrote: On 01/17/2011 10:32 AM, josef.p...@gmail.com wrote: On Mon, Jan 17, 2011 at 11:28 AM,josef.p...@gmail.com  wrote: On Sat, Jan 15, 2011 at 3:27 PM,josef.p...@gmail.com  wrote: After upgrading to numpy 1.5.1 I got caught

[Numpy-discussion] Scientific tools tutorial at PyCon US, March 9, 2011

2011-01-17 Thread Mike Müller
Scientific Python Tools not only for Scientists and Engineers = This is the title of my three-hour tutorial at PyCon US: http://us.pycon.org/2011/schedule/sessions/164/ It is a compressed version of my much longer course about: * NumPy

Re: [Numpy-discussion] Strange behaviour with for loops + numpy arrays

2011-01-17 Thread Stefan Reiterer
Thanks that was the problem! You never stop to learn =) Original-Nachricht Datum: Mon, 17 Jan 2011 18:22:17 +0100 Von: Francesc Alted fal...@pytables.org An: Discussion of Numerical Python numpy-discussion@scipy.org Betreff: Re: [Numpy-discussion] Strange behaviour with for