On 08/05/2014 04:00, numpy-discussion-request@scipy.org wrote:

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Message: 2 Date: Wed, 7 May 2014 19:25:32 +0100 From: Nathaniel Smith <njs@pobox.com> Subject: Re: [Numpy-discussion] IDL vs Python parallel computing To: Discussion of Numerical Python <numpy-discussion@scipy.org> Message-ID: <CAPJVwBnqMnrKo0=tTHLN1pvePWoV_rh+mJ_4PTwPDxb8d0Hq3Q@mail.gmail.com> Content-Type: text/plain; charset=UTF-8

On Wed, May 7, 2014 at 7:11 PM, Sturla Molden <sturla.molden@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/Art... 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. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.