> "doesn't imply that other way is better"
I never said that multiprocessing is "better" than multithreading.
Both are mechanisms to achieve parallelism with different pros/cons, and there are legit cases where threads are a necessity that can't be satisfied with processes (ref my previous comment with examples). This conversation would've been much easier to have given specific constraints and examples (which nobody seems to give).
Within the context of a general purpose VM which was never built to support multithreading (CPython), and which carries the baggage of 30+ years' worth of 3rd-party packages and libraries which were never built with multithreading in-mind - I think we can both agree that the costs and risks of changing literally everything may outweigh the benefits. It's not a difficult stance to accept.
My main argument, if you distill it down to the abstract, is "use the right tool for the job" - and stop pretending that a hammer and a knife are the same thing, when they're not.
If you need hardcore, ultra efficient and parallelized workflows - Python is just the wrong tool for the job period. This isn't up for debate - it's a given fact. This isn't just about the GIL - it's about the type system, the frameworks, the bloat, etc. There's nothing wrong with Python being this way - Python fills a niche of its own incredibly well, something which others tools suck at, and Python is loved by millions for it.
Python is used today by certain demographics to perform certain jobs - and it excels really well at those jobs for those demographics. This whole discussion now (GIL vs. no GIL) is about bending and twisting Python to fit the use cases of few companies like DeepMind or Facebook - who I'm certain represent a miniscule usage compared to the millions of students, schools and universities, research institutes, web shops, hobbyists, tinkerers, etc. Those people want to get shit done quickly - and mutexes, sempahores, events, threads, synchronization primitives, atomics, etc - will do nothing but make their lives a misery, and drive them away.
Also, I keep asking you for concrete examples where the Python community absolutely needs multithreading (where multiprocessing fails) and you're not really responding which makes me feel like we're not conversing here...