Python provides two ways to work around this issue: threading and multiprocessing. Each approach allows you to break a long-running job into parallel batches, which you can work on side-by-side.

Multiprocessing is the most powerful mechanism, used for scenarios where you need to max out the CPU utilization. If you’re familiar with threading in general, threading in Python won’t be a ...

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...