On 08/05/2014 04:00, numpy-discussion-requ...@scipy.org wrote: > Send NumPy-Discussion mailing list submissions to > numpy-discussion@scipy.org > > To subscribe or unsubscribe via the World Wide Web, visit > http://mail.scipy.org/mailman/listinfo/numpy-discussion > or, via email, send a message with subject or body 'help' to > numpy-discussion-requ...@scipy.org > > You can reach the person managing the list at > numpy-discussion-ow...@scipy.org > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of NumPy-Discussion digest..." > > > > > > ------------------------------ > > Message: 2 > Date: Wed, 7 May 2014 19:25:32 +0100 > From: Nathaniel Smith <n...@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_4ptwpdxb8d0h...@mail.gmail.com> > Content-Type: text/plain; charset=UTF-8 > > On Wed, May 7, 2014 at 7:11 PM, Sturla Molden <sturla.mol...@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. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
