On Tue, Dec 22, 2009 at 02:01:47PM +0530, Venkatraman S wrote:
> Are you sure about this? As in, multithreading *in* python does help?
Yes, very much. It is a prevalent misunderstanding that
multi-threading in python does not help at all. For IO operations like
reading a file, listening and readin
On Tue, Dec 22, 2009 at 2:01 PM, Venkatraman S wrote:
> [..]
> Are you sure about this? As in, multithreading *in* python does help?
>
For I/O bound operations, it does help.
--
~noufal
http://nibrahim.net.in
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On Tue, Dec 22, 2009 at 2:01 PM, Venkatraman S wrote:
> On Tue, Dec 22, 2009 at 1:58 PM, Senthil Kumaran >wrote:
>
> >
> > Have you done multithreading? If yes, thinking of implementing
> > the file read operations in separate threads and this should improve
> > the performance as number of thre
On Tue, Dec 22, 2009 at 1:58 PM, Senthil Kumaran wrote:
>
> Have you done multithreading? If yes, thinking of implementing
> the file read operations in separate threads and this should improve
> the performance as number of threads increase.
>
>
Are you sure about this? As in, multithreading *in*
On Tue, Dec 22, 2009 at 01:25:17PM +0530, Ramdas S wrote:
> I saw this doc and a few other docs online.
>
> http://wiki.python.org/moin/PythonSpeed/PerformanceTips
Just follow this. This one seems good.
> I/O. I have a program that opens between 4 to 7 text files in memory to
Have you done mul
On Tue, Dec 22, 2009 at 1:25 PM, Ramdas S wrote:
> Dear all,
>
> I saw this doc and a few other docs online.
>
> http://wiki.python.org/moin/PythonSpeed/PerformanceTips
>
>
> Are there any recommendations on how I can improve performances in case of
> I/O. I have a program that opens between 4 t
On Tue, Dec 22, 2009 at 1:25 PM, Ramdas S wrote:
>
> Are there any recommendations on how I can improve performances in case of
> I/O. I have a program that opens between 4 to 7 text files in memory to
> analyze data. It runs beautifully on some 100 odd lines of Python code, but
> its quite slow,
Dear all,
I saw this doc and a few other docs online.
http://wiki.python.org/moin/PythonSpeed/PerformanceTips
Are there any recommendations on how I can improve performances in case of
I/O. I have a program that opens between 4 to 7 text files in memory to
analyze data. It runs beautifully on
On Tue, Oct 13, 2009 at 3:31 PM, Vishal wrote:
> Well, what I meant was: Everyone knows its an interpreted language and we
> are choosing it for its productivity. Also, since its interpreted, its
> performance will not / most probably not match that with compiled
> languages...so any news in incre
Well, what I meant was: Everyone knows its an interpreted language and we
are choosing it for its productivity. Also, since its interpreted, its
performance will not / most probably not match that with compiled
languages...so any news in increase in performance is a giantly welcome
thing. Sometimes
On Tue, Oct 13, 2009 at 3:07 PM, Kenneth Gonsalves
wrote:
> On Tuesday 13 Oct 2009 2:55:16 pm Vishal wrote:
>> Are there anymore details that can be shared? Interested to know...because
>> performance is always one of most sought after metric when choosing an
>> interpreted language.
>
> I thought
On Tuesday 13 Oct 2009 2:55:16 pm Vishal wrote:
> Are there anymore details that can be shared? Interested to know...because
> performance is always one of most sought after metric when choosing an
> interpreted language.
I thought it was the least important?
--
regards
kg
http://lawgon.livejourn
Hi,
In our recent meet, there was a talk about python performance improvements
when compiled using gcc 4.4.
Are there anymore details that can be shared? Interested to know...because
performance is always one of most sought after metric when choosing an
interpreted language.
Thanks and best regar
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