The docs on that page explicitly say you just have to provide a different parameter (basically, to force it to use a thread-like instead of select-like approach).

The docs on that page also point you to a different task library which does what I'd expect:

"If the work is appropriate for concurrency and parallelism, also consider using the Task Parallel Library."

I checked those docs and that is a framework that makes sense.

Not sure how that's different than Python asyncio's "run blocking stuff with `run_in_executor`, the result (future) of which integrates into the async event loop?

it's threaded with the option to use 1:M, N:N or N:M. It's a mental model that includes both asyncio and threads, while async will always only be for IO-blocking calls that can be multiplexed.