Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to ... over that list, joining them one by one. But wait a second—I promised that ...

Python provides two ways to work around this issue: threading and multiprocessing ... (at least not for now). But they’re a useful way to organize tasks that involve some waiting.

And while you can use Python’s built-in threading module to speed things up, threading only gives you concurrency, not parallelism ... in Jupyter can start using Ipyparallel immediately.