Hi!

be also advised that because of the GlL [1] of the cpython interpreter, you
may need to switch to an alternative interpreter implementation when
performance of high concurrency applications is a must.

In other words, Python may not be the best choice when trying to go to such
performance limits.

[1] http://en.wikipedia.org/wiki/Global_Interpreter_Lock


On Thu, Jan 10, 2013 at 4:22 PM, Scott Kragen <[email protected]> wrote:

> Allison,
>
> Have you looked into threading for python?  I have used this library in
> several of projects because writing a thread pool from scratch started to
> give me a headache.
>
>
> http://code.activestate.com/recipes/577105-synchronization-decorator-for-class-methods/
>
> The advantage of a thread pool is it can que based on the max amount of
> threads you define.
>
> Scott
>
> On Thu, Jan 10, 2013 at 10:06 AM, allison nixon <[email protected]> wrote:
>
>> Say I'm writing a broadscanner for a pet project and I accidentally wrote
>> the entire thing in Python.
>>
>> Using asyncore and sockets, the best I can get is 3 http requests per
>> second, maybe 10 per second at the very max.  For a scanner this is of
>> course, very lame.
>>
>> My goal is to of course make as many http request as a desktop computer
>> will handle, so perhaps 200 per second with whatever number of sockets
>> waiting in the background for a response(which I check periodically for a
>> response and parse when I get it)
>>
>> Is there any way I can acheive 200 requests per second without learning
>> another programming language?
>>
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>
>
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