On Dec 4, 2:01 pm, Дамјан Георгиевски <[EMAIL PROTECTED]> wrote:
> > I don't think it matters. Here's a quick comparison between 2.5 and
> > 3.0 on a relatively small 17 meg file:
>
> > C:\>c:\Python30\python -m timeit -n 1
> > "open('C:\\work\\temp\\bppd_vsub.csv', 'rb').read()"
> > 1 loops, best of 3: 36.8 sec per loop
>
> > C:\>c:\Python25\python -m timeit -n 1
> > "open('C:\\work\\temp\\bppd_vsub.csv', 'rb').read()"
> > 1 loops, best of 3: 33 msec per loop
>
> > That's 3 orders of magnitude slower on python3.0!
>
> Isn't this because you have the file cached in memory on the second run?
That's probably it; I see much more modest slowdown (2-3X) if I repeat
many times each run.
George
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