How Python's GIL Slows Multithreaded Code

The canonical recommendation for understanding the GIL, praised both for its clarity and for how well it explains a deep technical topic.

David Beazley's PyCon 2010 talk explains how the Python Global Interpreter Lock works and shows experiments where multithreaded code runs slower, even on more cores, due to lock contention and context-switching overhead.