Hi srean,
Sorry for being late answering, the latest weeks have been really
crazy for me. See my comments below.
2011/12/13 srean srean.l...@gmail.com:
This is great news, I hope this gets included in the epd distribution soon.
I had mailed a few questions about numexpr sometime ago. I am
==
Announcing Numexpr 2.0.1
==
Numexpr is a fast numerical expression evaluator for NumPy. With it,
expressions that operate on arrays (like 3*a+4*b) are accelerated
and use less memory than doing the same calculation in Python.
It wears
What about python3 support?
Thanks
Nadav.
From: numpy-discussion-boun...@scipy.org [numpy-discussion-boun...@scipy.org]
On Behalf Of Francesc Alted [fal...@gmail.com]
Sent: 08 January 2012 12:49
To: Discussion of Numerical Python; numexpr
Subject:
Python3 is not on my radar yet. Perhaps others might be interested on
doing the port.
Francesc
2012/1/8 Nadav Horesh nad...@visionsense.com:
What about python3 support?
Thanks
Nadav.
From: numpy-discussion-boun...@scipy.org
Hi Sebastien,
Le 05/01/2012 15:02, Sébastien Barthélémy a écrit :
However http://docs.scipy.org/doc/numpy/reference/generated/numpy.savez.html
says:
numpy.savez(file, *args, **kwds)¶
Save several arrays into a single file in uncompressed .npz format.
Moreover, this last page points
You could try A[...].fill(MyObject(...)). I haven't tried it myself, so not
sure it would work though...
-=- Olivier
2012/1/6 David Köpfer dkoep...@gmx.de
Dear numpy community,
I'm trying to create an array of type object.
A = empty(9, dtype=object)
A[ array(0,1,2) ] = MyObject(1)
A[
