Django-hotsauce is a high-performance toolkit for Django. Using Cython
under the hood is really a good method to optimize standard Django
applications, but I want to investigate how JIT and PyPy can further
improve performances beyond Cython.
Le 2018-01-28 à 11:14, Jani Tiainen a écrit :
So whats the whole fuzz about JIT and all that if you're happy with
Django as is and how it works with Python..? :-o
On Sun, Jan 28, 2018 at 3:45 PM, Etienne Robillard <tkad...@yandex.com
<mailto:tkad...@yandex.com>> wrote:
Hi Jani,
I agree.
I'm really not interesting in "fixing" bad code. I work with
open-source grade only softwares like Django. :)
Cheers,
Etienne
Le 2018-01-28 à 08:30, Jani Tiainen a écrit :
Hi.
28.1.2018 3.10 ip. "Etienne Robillard" <tkad...@yandex.com
<mailto:tkad...@yandex.com>> kirjoitti:
Hi Jason,
Please don't read me wrong. I want to allow my users to
optimize the efficiency of Python/Django web applications
using JIT.
And thats the catch. You can easily write code that is slow and
no language, no JIT or tool can fix.
For example many times problem with Django is poorly written ORM
code. By doing unnecessary database queries.
Also to back up your claims how you can be sure that using tool X
over normal Python is faster?
What if your tool actally is slower?
Also you have to note that Django is only one part of whole stack
of tools used to run Django web app.
Cheers,
Etienne
Le 2018-01-28 à 07:55, Jason a écrit :
What I get from you, Etienne, is that you think this is a
cool area to look into, but don't have anything else aside
from that suspect coolness factor to apply to your proposal.
Besides, this thing you said above
I don't want to optimize my code manually except with
machine-compiled instructions.
makes me extremely concerned that you're in the middle of an
X-Y Problem
<https://meta.stackexchange.com/questions/66377/what-is-the-xy-problem>
and
are avoiding the core issue because you don't feel its your
responsibility to practice good design, execute profiling to
benchmark performance and implement what optimizations are
available for the bottlenecks identified.
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