[Numpy-discussion] IDL vs Python parallel computing
siegfried.gonzi at ed.ac.uk
Thu May 8 04:22:09 EDT 2014
On 08/05/2014 04:00, numpy-discussion-request at scipy.org wrote:
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> Message: 2
> Date: Wed, 7 May 2014 19:25:32 +0100
> From: Nathaniel Smith <njs at pobox.com>
> Subject: Re: [Numpy-discussion] IDL vs Python parallel computing
> To: Discussion of Numerical Python <numpy-discussion at scipy.org>
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> On Wed, May 7, 2014 at 7:11 PM, Sturla Molden <sturla.molden at gmail.com> wrote:
> That said, reading data stored in text files is usually a CPU-bound
> operation, and if someone wrote the code to make numpy's text file
> readers multithreaded, and did so in a maintainable way, then we'd
> probably accept the patch. The only reason this hasn't happened is
> that no-one's done it.
To add to the confusion what IDL offers:
I am not using IDL (and was never interested in IDL at all as it is a
horrible language) any more except for some legacy code. Nowadays I am
mostly on Python.
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