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Description | Ten thousand Ten thousand meters Diving deep, flying high to see why about blog links materials blog Python behind the scenes #13: the GIL and its effects on Python mu |
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Ten thousand meters Diving deep, flying high to see why about blog links materials blog Python behind the scenes #13: the GIL and its effects on Python multithreading Published: Wed 22 September 2021 By Victor Skvortsov tags: Python behind the scenes Python CPython As you probably know, the GIL stands for the Global Interpreter Lock, and its job is to make the CPython interpreter thread-safe. The GIL allows only one OS thread to execute Python bytecode at any given time, and the consequence of this is that it’s not possible to speed up CPU-intensive Python code by distributing the work among multiple threads. This is, however, not the only negative effect of the GIL. The GIL introduces overhead that makes multi-threaded programs slower, and what is more surprising, it can even have an impact I/O-bound threads. In this post I’d like to tell you more about non-obvious effects of the GIL. Along the way, we’ll discuss what the GIL really is, why it exists, how it works, and how it’s going |
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