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Groups > comp.lang.python > #63910
| From | Roy Smith <roy@panix.com> |
|---|---|
| Newsgroups | comp.lang.python |
| Subject | Re: Python Fast I/o |
| Date | 2014-01-14 09:40 -0500 |
| Organization | PANIX Public Access Internet and UNIX, NYC |
| Message-ID | <roy-EB17C5.09403414012014@news.panix.com> (permalink) |
| References | <a9c545f2-fbc3-4ac4-81ee-a91f61c72b84@googlegroups.com> <mailman.5458.1389708197.18130.python-list@python.org> <53affb01-0c5e-46e3-9ff7-27a529db6425@googlegroups.com> |
In article <53affb01-0c5e-46e3-9ff7-27a529db6425@googlegroups.com>, Ayushi Dalmia <ayushidalmia2604@gmail.com> wrote: > Which is more fast? > Creating a 200 Mb string and then dumping into a file or dividing the 200 Mb > string into chunks and then writing those chunks. Won't writing the chunks > call more i/o operation? This sounds like a simple experiment to try. Write it both ways, time each one, and report your results back to the group.
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Python Fast I/o Ayushi Dalmia <ayushidalmia2604@gmail.com> - 2014-01-14 05:50 -0800
Re: Python Fast I/o Chris Angelico <rosuav@gmail.com> - 2014-01-15 01:03 +1100
Re: Python Fast I/o Ayushi Dalmia <ayushidalmia2604@gmail.com> - 2014-01-14 06:24 -0800
Re: Python Fast I/o Chris Angelico <rosuav@gmail.com> - 2014-01-15 01:32 +1100
Re: Python Fast I/o Roy Smith <roy@panix.com> - 2014-01-14 09:40 -0500
Re: Python Fast I/o Tim Chase <python.list@tim.thechases.com> - 2014-01-14 08:18 -0600
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