> > Don't do that. ;-) I suggest using exec instead. However, I would be
> > surprised if import worked faster than, say, JSON (more precisely, I
> > doubt that it's enough faster to warrnat this kludge).
>
> I'm with Aahz. Don't do that.
>
> I don't know what you're doing, but I suspect an eve
Hello,
a server program of mine uses data which are compiled to a Python
module for efficiency reasons. In some module of the server program I
import the data:
from data import data
As the data often changes, I would like to reimport it every n (e.g.
10) seconds.
Unfortunately, it is rather dif
Hello,
how can I do something (e.g. check if new files are in the working
directory) every n seconds in Python?
Santiago
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http://mail.python.org/mailman/listinfo/python-list
> Why do you think so? The recursion limit has no effect on the speed of your
> script. It's just a number that the interpreter checks against.
Yes, sorry. I was just about to explain that. The 'of course' in my
post was silly.
In MY program, the recursion limit is relevant for performance,
beca
Hello,
in my program I use recursive functions. A recursion limit of 10 would
be by far sufficient. Yet, I also use some (not very complicated)
regular expressions, which only compile if I set the recursion limit
to 100, or so. This means, of course, an unnecessary loss of speed.
Can I use one re
Peter,
thanks again for all this code. You helped me a lot.
> Didn't you say you weren't interested in the web specific aspects?
I thought that, although my problem had to do with client-server
stuff, it wasn't really web-specific. But now I think that that was
part of my problem. I failed to se
> Run the above with
>
> $ python wsgi_demo.py
> Serving on port 8000...
>
Thanks a lot for this code. The problem with it is that the whole
application IS a generator function. That means that if I run the code
at, say foo.org, then any user that visits the site will augment the
answer number of
> Python offers an elegant mechanism to calculate values on demand: the
> generator function:
>
> >>> def calculate_answers():
>
> ... for i in range(100):
> ... print "calculating answer #%d" % i
> ... yield i * i
> ...
>
Thanks for pointing this out. I was aware of th
Hello,
I want to run several subprocesses. Like so:
p1 = Popen("mycmd1" + " myarg", shell=True)
p2 = Popen("mycmd2" + " myarg", shell=True)
...
pn = Popen("mycmdn" + " myarg", shell=True)
What would be the most elegant and secure way to run all n
subprocesses in parallel?
Santiago
--
http://ma
