To achieve the same sort of asynchronicity in Python 2.7, we had to use complex workarounds, creating multiple system-level Python processes to run our code in.

For all of Python’s great and convenient features, one goal remains out of reach: Python apps running on the CPython reference interpreter and using multiple CPU cores in parallel. This has long ...