[zbyte64]

Real threads don't scale outside a single machine easily and it's adding allot of hazards that should be abstracted away. We don't want a dataset interface that makes a developer worry about race conditions. The pythonic way is to use one of those "contortions" because they are actually useful production-grade abstractions that let you scale beyond a single machine. Dask ( https://dask.pydata.org/en/latest/ ) is superior to threads for handling large datasets IMHO.

And if you're wanting something primitive then use cooperative threads like gevent, asyncio, or twisted.