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Groups > comp.lang.python > #101318
| From | Cameron Simpson <cs@zip.com.au> |
|---|---|
| Newsgroups | comp.lang.python |
| Subject | Re: Fast pythonic way to process a huge integer list |
| Date | 2016-01-07 14:31 +1100 |
| Message-ID | <mailman.37.1452137521.2305.python-list@python.org> (permalink) |
| References | <7e2b93e4-c224-40c4-8e88-7dcc847edab1@googlegroups.com> |
On 06Jan2016 18:36, high5storage@gmail.com <high5storage@gmail.com> wrote:
>I have a list of 163.840 integers. What is a fast & pythonic way to process
>this list in 1,280 chunks of 128 integers?
The depends. When you say "list", is it already a _python_ list? Or do you just
mean that the intergers are in a file or something?
If they're already in a python list you can probably just use a range:
for offset in range(0, 163840, 128):
... do stuff with the elements starting at offset ...
Cheers,
Cameron Simpson <cs@zip.com.au>
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Fast pythonic way to process a huge integer list high5storage@gmail.com - 2016-01-06 18:36 -0800 Re: Fast pythonic way to process a huge integer list Terry Reedy <tjreedy@udel.edu> - 2016-01-06 22:10 -0500 Re: Fast pythonic way to process a huge integer list Tim Chase <python.list@tim.thechases.com> - 2016-01-06 21:21 -0600 Re: Fast pythonic way to process a huge integer list Cameron Simpson <cs@zip.com.au> - 2016-01-07 14:31 +1100 Re: Fast pythonic way to process a huge integer list Steven D'Aprano <steve@pearwood.info> - 2016-01-07 20:25 +1100 Re: Fast pythonic way to process a huge integer list Peter Otten <__peter__@web.de> - 2016-01-07 11:21 +0100 Re: Fast pythonic way to process a huge integer list KP <kai.peters@gmail.com> - 2016-01-07 16:33 -0800
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