[Numpy-discussion] How to tell whether I am using 32 bitor64bit numpy?
Dinesh B Vadhia
Sat Mar 28 12:09:53 CDT 2009
David: The OS is 64-bit Windows Vista Home Premium, Service Pack 1 with 8gb ram. Machine is used as a desktop development machine (not a server).
From: David Cournapeau
Sent: Saturday, March 28, 2009 9:11 AM
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] How to tell whether I am using 32 bitor64bit numpy?
2009/3/29 Dinesh B Vadhia <email@example.com>:
> 1) 32-bit Numpy/Scipy with 32-bit Python on 64-bit Windows does work. But,
> it doesn't take advantage of memory > 2gb.
Indeed. But running numpy 32 bits in python 64 bits is not possible -
and even if it were, I guess it could not handle more than 32 bits
pointers either :)
> 2) Happy to help out with the experimental 64-bit builds of Numpy/Scipy.
> But, would this be with pre-installed Windows libraries or source files as
> I'm not setup for dealing with source files?
Binaries. Building numpy and scipy from sources on windows 64 bits is
still a relatively epic battle I would not recommend on anyone :)
>The machine has an Intel Core2
> Quad CPU with 8gb ram.
The windows version matters much more than the CPU (server vs xp vs
vista). I think we will only distribute binaries for python 2.6, too.
> Strangely, the 64-bit Python 2.5x Intel version
> wouldn't install but the AMD version did.
If by Intel version you mean itanium, then it is no surprise. Itanium
and amd64 are totally different CPU, and not compatible with each
other. Otherwise, I am not sure what to understand what you mean by 64
bits Intel version.
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