YAML and JSON have both tried to replicate the XML tooling experience, only worse.
Schemas, comments, parsing and schema conversions tools.
YAML and JSON have both tried to replicate the XML tooling experience, only worse.
Schemas, comments, parsing and schema conversions tools.
CPython built with --disable-gil does not have a GIL (as long as PYTHONGIL=0 and all loaded C extensions are built for --disable-gil mode) https://peps.python.org/pep-0703/#py-mod-gil-slot
"Intent to approve PEP 703: making the GIL optional" (2023) https://news.ycombinator.com/item?id=36913328#36917709 https://news.ycombinator.com/item?id=36913328#36921625
How CPython accomplished nogil in their - the original and reference - fork is described in the topical linked PEP 703.
It's possible to have a language that doesn't have a GIL, which you implement Python in, but that Python implementation then has a GIL.
The point being that you can't say things like: Jython is written in Java so it doesn't have a GIL. CPython is written in C so doesn't have a GIL. And so on.
If this isn't clear, I apologize.
But are there even nogil builds of CPython C extensions on PyPi yet anyway.
Re: Ghidraal and various methods of Python in Java: https://news.ycombinator.com/item?id=36454485
https://jython.readthedocs.io/en/latest/Concurrency/#no-glob...
https://wiki.python.org/moin/IronPython
The difference between JVM, CLR and C in regards to parallel and concurrent code is that they are built for those kind of workloads, and have a memory model proper, hence not needing a GIL.