[Numpy-discussion] IDL vs Python parallel computing

[Siegfried Gonzi]

On 08/05/2014 04:00, numpy-discussion-request at scipy.org wrote:
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> ------------------------------
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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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> 	<CAPJVwBnqMnrKo0=tTHLN1pvePWoV_rh+mJ_4PTwPDxb8d0Hq3Q at mail.gmail.com>
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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:

http://www.exelisvis.com/Support/HelpArticlesDetail/TabId/219/ArtMID/900/ArticleID/3252/3252.aspx

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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