Integrating Python, was Re: The New Product

[Stefan Csomor]

Hi Stene

Ok, I've built one for you __ 

Committed prebuilt universal xcomp together with a 10.2 example lbs using oPython3

Best,

Stefan

Am 30.05.22, 13:48 schrieb "omnisdev-en im Auftrag von Sten-Erik Björling" <omnisdev-en-bounces at lists.omnis-dev.com im Auftrag von s-e.bjorling at enviro.se>:

    Hi,

    M1 version?

    Stene

    Sent through my mobile phone

    > 30 maj 2022 kl. 08:00 skrev Stefan Csomor <csomor at advancedconcepts.ch>:
    > 
    > Hi Gary
    > 
    > Yes, sorry, I forgot to update the readme.md after adding the python 3 targets in 2019. Done now.
    > 
    > Thanks for spotting this,
    > 
    > Stefan
    > 
    > Am 29.05.22, 22:39 schrieb "omnisdev-en im Auftrag von Gary Giumarra via omnisdev-en" <omnisdev-en-bounces at lists.omnis-dev.com im Auftrag von omnisdev-en at lists.omnis-dev.com>:
    > 
    > 
    >    Thanks for including the link to GitHub, but whereas you say in your message the xcomp is “updated for Python 3” on the GitHub page itself it specifically states “Python needs a 2.7+ version, not a 3.X version”. So we can safely ignore that if we’re using Python 3.x?
    > 
    >    Gary Giumarra
    >    ggiumarra at yahoo.com
    > 
    >> On May 29, 2022, at 8:15 AM, Stefan Csomor <csomor at advancedconcepts.ch> wrote:
    >> 
    >> Hi
    >> 
    >>> But a good python integration literally opens up the whole of the python 
    >>> extensions world to be available inside Omnis.
    >> 
    >> I've done a presentation of Python integration into Omnis in 2008, I've also pushed the code to github, updated for Python 3, https://github.com/advancedconcepts/opython but this was rather for integrating Python into the main / GUI thread.
    >> 
    >> The problem with background language workers using python is that CPython itself is not very well suited to profit from multiple cores when multithreading - there still is a global object GIL (Global Interpreter Lock) that each thread has to acquire when active, so in order to really profit from multi-core / multi-processor machines you'd have to use a multi-process solution, which is a little bit more complex. (When your python multi-threaded code is primarily IO bound or effectively wrapping a c-library that itself is benefitting from multiple cores then things are different of course).
    >> 
    >> Just my 0.02$
    >> 
    >> Best,
    >> 
    >> 
    >> Stefan
    >> 
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