2010/8/1 Matthew Brett matthew.br...@gmail.com:
Maybe it would be better to raise a ValueError, which is not caught by
the evaluation mechanism, to prevent such stuff.
Sorry that this is not yet clear to me, but, is it true then that:
The only situation where array.__eq__ sensibly falls back
Hi,
After the Theano talk in last EuroSciPy I suddenly realized that it would not
be too difficult to implement a multi-threaded version of Numexpr. Well, as
usual I was terribly wrong and it took me a *long* week to do the job :-/
Anyway the thing is done now, so... enjoy!
Note for PyTables
I'm happy to announce the first official release of ALGOPY in version 0.2.1.
Rationale:
The purpose of ALGOPY is the evaluation of higher-order derivatives in
the forward and reverse mode of Algorithmic Differentiation (AD) using
univariate Taylor polynomial arithmetic. Particular focus
Hi David,
sorry for the late reply.
On Fri, Jul 30, 2010 at 04:58, David da...@silveregg.co.jp wrote:
On 07/30/2010 06:47 AM, Sandro Tosi wrote:
For the build logs it's easy:
alpha:
https://buildd.debian.org/fetch.cgi?pkg=python-numpyarch=alphaver=1%3A1.4.1-4stamp=1280296333file=logas=raw
I am pleased to announce the availability of the first beta of NumPy 1.5.0.
This will be the first NumPy release to include support for Python 3, as
well as for Python 2.7. Please try this beta and report any problems on the
NumPy mailing list.
Binaries, sources and release notes can be found at
Congratulations Francesc !
On Sun, Aug 1, 2010 at 1:33 PM, Francesc Alted fal...@pytables.org wrote:
Hi,
After the Theano talk in last EuroSciPy I suddenly realized that it would not
be too difficult to implement a multi-threaded version of Numexpr. Well, as
usual I was terribly wrong and
Is anyone aware of a good mathematical language to describe and reason about
how numpy arrays work (broadcastable ndarrays)? I am particularly interested
in reasoning about linear maps from one ndarray to another. Clearly ndarrays
can be thought of as regular vectors and you can reason about them
Hey Sebastian,
2010/8/1 Sebastian Haase seb.ha...@gmail.com
Would you mind summarizing very briefly which dtypes you support in Numexpr
?
(float32?)
Yup. See:
http://code.google.com/p/numexpr/wiki/Overview#Datatypes_supported_internally
for the complete list.
And 2ndly, is there
Solid release as usual. Works well with the MKL.
Btw, numexpr-1.4.tar.gz is missing the win32/pthread.h file.
Christoph
On 8/1/2010 4:33 AM, Francesc Alted wrote:
Hi,
After the Theano talk in last EuroSciPy I suddenly realized that it would not
be too difficult to implement a
2010/8/1 Christoph Gohlke cgoh...@uci.edu
Solid release as usual. Works well with the MKL.
Btw, numexpr-1.4.tar.gz is missing the win32/pthread.h file.
Mmh, not so solid ;-) Fixed. Thanks for reporting!
--
Francesc Alted
___
NumPy-Discussion
Holy cow! I was looking for this exact package for extending pymc! Now I've
found two packages that do basically exactly what I want (Theano and
ALGOPY).
Does ALYGOPY handle derivatives of operations on higher order ndimensional
arrays well (efficiently and including broadcasting and such)?
John
On 8/1/2010 12:38 PM, Ralf Gommers wrote:
Binaries, sources and release notes can be found at
https://sourceforge.net/projects/numpy/files/
https://sourceforge.net/projects/numpy/files/
I'm not seeing them.
Alan
___
NumPy-Discussion mailing list
2010/8/2 John Salvatier jsalv...@u.washington.edu:
Holy cow! I was looking for this exact package for extending pymc! Now I've
found two packages that do basically exactly what I want (Theano and
ALGOPY).
Beware that theano does only symbolic differentiation which is very
different from AD.
On Mon, Aug 2, 2010 at 7:10 AM, Alan G Isaac alan.is...@gmail.com wrote:
On 8/1/2010 12:38 PM, Ralf Gommers wrote:
Binaries, sources and release notes can be found at
https://sourceforge.net/projects/numpy/files/
https://sourceforge.net/projects/numpy/files/
I'm not seeing them.
I see
On Sun, Aug 1, 2010 at 9:10 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Mon, Aug 2, 2010 at 7:10 AM, Alan G Isaac alan.is...@gmail.com wrote:
On 8/1/2010 12:38 PM, Ralf Gommers wrote:
Binaries, sources and release notes can be found at
Tests produce a few failures and a couple warnings.
Details below.
Alan Isaac
Python 2.7 (r27:82525, Jul 4 2010, 09:01:59) [MSC v.1500 32 bit (Intel)] on
win32
Type help, copyright, credits or license for more information.
import numpy as np
np.test()
Running unit tests for numpy
NumPy
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