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devel / comp.lang.python / Re: System, configuration and Python performance

SubjectAuthor
* Re: System, configuration and Python performanceShaozhong SHI
`- Re: System, configuration and Python performanceStefan Ram

1
Re: System, configuration and Python performance

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Newsgroups: comp.lang.python
Subject: Re: System, configuration and Python performance
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<367adc73-c522-7802-58c0-87f3e0fea691@mrabarnett.plus.com>
 by: Shaozhong SHI - Tue, 2 Nov 2021 00:20 UTC

On Tue, 2 Nov 2021 at 00:09, MRAB <python@mrabarnett.plus.com> wrote:

> On 2021-11-01 23:02, Shaozhong SHI wrote:
> > How to configure to improve Python performance in a system like the
> > following:
> >
> > Windows 10
> >
> > System
> >
> > Processor Intel(R) Core(TM) i7-9700 CPU @3.60GHz, 3.60 GHz
> > Installed memory (RAM) 32.0 GB (31.8 GB usable)
> > System type: 64-bit Operating System, x64-based processor
> >
> > I found that the Python script was runnig slowly and wanted to find out
> > what is going on and what activities it is doing.
> >
> > I opened the Task Manager and found that there is not much CPU usage.
> >
> > Do I need to do something like configuration to improve Python's
> > performance?
> >
> If CPU usage is low, then that isn't the cause of the slowness.
>
> What about disk usage?
>
> What about network usage?
>
> If it's communicating across the internet, then it might be waiting for
> the other end. If that's the case, then there's probably not much you
> can do about it.
>

Both disk usage and network usage are very low as well.

It is checking out responses of internet pages with given URLs.

Regards,

David

> --
> https://mail.python.org/mailman/listinfo/python-list
>

Re: System, configuration and Python performance

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From: ram...@zedat.fu-berlin.de (Stefan Ram)
Newsgroups: comp.lang.python
Subject: Re: System, configuration and Python performance
Date: 2 Nov 2021 00:33:56 GMT
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 by: Stefan Ram - Tue, 2 Nov 2021 00:33 UTC

Shaozhong SHI <shishaozhong@gmail.com> writes:
>It is checking out responses of internet pages with given URLs.

That's cool! Just start each request as a new thread:

import threading

# ...

while True:
receive_thread = threading.Thread( target=thread )
receive_thread.start()
time.sleep( t )

. Adjust the time "t" above and also the timeout parameter
of your request to your needs. "thread", then, is a function,
where you get the next URI from the todo list and check it.

1
server_pubkey.txt

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