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Update threading.rst
Co-authored-by: Peter Bierma <[email protected]>
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Doc/library/threading.rst

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@@ -23,7 +23,7 @@ bypass the :term:`Global Interpreter Lock <global interpreter lock>`, the
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threading module operates within a single process, meaning that all threads
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share the same memory space. However, the :term:`GIL` limits the performance gains of
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threading when it comes to CPU-bound tasks, as only one thread can execute
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Python bytecode at a time. Despite this, threading remains a useful tool for
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Python bytecode at a time. Despite this, threads remain a useful tool for
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achieving concurrency in many scenarios.
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A typical use case for :mod:`threading` includes managing a pool of worker

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