Terry Reedy wrote:
Дамјан Георгиевски 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?
In my test, I read Python25.chm with 2.5 and Python30.chm with 3.0.
Rereading Python30.chm without closing *is* much faster.
>>> f=open('Doc/Python30.chm','rb')
>>> d=f.read()
>>> d=f.read()
>>> d=f.read()
Closing, reopening, and rereading is slower.
It certainly is faster if you're already at the end of the file. :-)
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