also most python usecases that are in the realm of things like high performance concurrent request servicing push it down into libraries that i think are often tied to a native network request processing core. (gunicorn, grpc, etc)

python is kind of a slow choice for that sort of thing regardless and i don't think the complexity of async is all that justified for most usecases.

i still maintain my position that a good computer system should let you write logic synchronously and the system will figure out how to do things concurrently with high performance. (although getting this right would be very hard!)