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Groups > comp.lang.python > #11214
| Date | 2011-08-11 15:46 +0200 |
|---|---|
| From | przemolicc@poczta.fm |
| Subject | Re: String concatenation - which is the fastest way ? |
| References | (1 earlier) <CAPTjJmrF0GcVs0onfoCHAbMe38b5iLXgFX1R7G_RXcKxjPH5wQ@mail.gmail.com> <20110810133146.GE5045@host.pgf.com.pl> <j1ub3q$65c$1@dough.gmane.org> <20110811064030.GB4990@host.pgf.com.pl> <CAPTjJmqiiKcT7Zg-XkbrQ4r-keU9+1Kj=+sEwa4xp==2EG-5aQ@mail.gmail.com> |
| Newsgroups | comp.lang.python |
| Message-ID | <mailman.2179.1313070378.1164.python-list@python.org> (permalink) |
On Thu, Aug 11, 2011 at 11:59:31AM +0100, Chris Angelico wrote: > > What may be the easiest way is to do the select in a single process, > then partition it and use the Python multiprocessing module to split > the job into several parts. Then you need only concatenate the handful > of strings. This is the way I am going to use. But what is the best data type to hold so many rows and then operate on them ? Regards Przemyslaw Bak (przemol) ---------------------------------------------------------------- Zarabiasz 4 tys./miesiac? Damy wiecej! Sprawdz >> http://linkint.pl/f2a0f
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Re: String concatenation - which is the fastest way ? przemolicc@poczta.fm - 2011-08-11 15:46 +0200
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