Web Reference: Thread, Network and PythonHelpful? Please use the *Thanks* button above! Or, thank me via Patreon: https://www.patreon.com/roelvandepaar!With thanks & praise... 2 days ago · Threads are particularly useful when tasks are I/O bound, such as file operations or making network requests, where much of the time is spent waiting for external resources. A typical use case for threading includes managing a pool of worker threads that can process multiple tasks concurrently. In this tutorial, you'll take a deep dive into parallel processing in Python. You'll learn about a few traditional and several novel ways of sidestepping the global interpreter lock (GIL) to achieve genuine shared-memory parallelism of your CPU-bound tasks.
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