Hi,
On Wed, May 29, 2013 at 9:00 PM, Eric Snow wrote:
> ...
>
> What would be important to say in the devguide regarding Python
> performance and testing it?
In the devguide I would only add information that are specific to
benchmarking the interpreter.
A separate "Benchmarking HOWTO" that cover
29.05.13 21:00, Eric Snow написав(ла):
Critically sensitive performance subjects
* interpreter start-up time
* module import overhead
* attribute lookup overhead (including MRO traversal)
* function call overhead
* instance creation overhead
* dict performance (the underlying namespace type)
* tu
On 29.05.2013 21:19, Antoine Pitrou wrote:
>
> Hi,
>
> On Wed, 29 May 2013 21:59:21 +0300
> Carlos Nepomuceno wrote:
>>
>> [1] "pybench - run the standard Python PyBench benchmark suite. This is
>> considered
>> an unreliable, unrepresentative benchmark; do not base decisions
>> off it. It is i
On Wed, May 29, 2013 at 9:19 PM, Antoine Pitrou wrote:
>
> Hi,
>
> On Wed, 29 May 2013 21:59:21 +0300
> Carlos Nepomuceno wrote:
>>
>> [1] "pybench - run the standard Python PyBench benchmark suite. This is
>> considered
>> an unreliable, unrepresentative benchmark; do not base decisions
>> off
Hi,
On Wed, 29 May 2013 21:59:21 +0300
Carlos Nepomuceno wrote:
>
> [1] "pybench - run the standard Python PyBench benchmark suite. This is
> considered
> an unreliable, unrepresentative benchmark; do not base decisions
> off it. It is included only for completeness."
"unrepresentative" is th
Hi,
On Wed, 29 May 2013 12:00:44 -0600
Eric Snow wrote:
> The devguide doesn't have anything on performance testing that I could
> find.
See http://bugs.python.org/issue17449
> Tools I'm aware of:
> * pybench (relatively limited in real-world usefulness)
> * timeit module (for quick comparisio
> Date: Wed, 29 May 2013 12:00:44 -0600
> From: ericsnowcurren...@gmail.com
> To: python-dev@python.org
> Subject: [Python-Dev] performance testing recommendations in devguide
>
> The devguide doesn't have anything on performance test
The devguide doesn't have anything on performance testing that I could
find. We do have a number of relatively useful resources in this
space though, like pybench and (eventually) speed.python.org. I'd
like to add a page to the devguide on performance testing, including
an explanation of our perf
