Yes, the GIL (Global Interpreter Lock) can have an impact on asyncio in Python. The GIL is a mechanism that only allows one thread to execute Python bytecode at a time. This means that even if you have multiple threads running on a multi-core processor, only one can execute Python code at a time. However, asyncio is designed to work around the GIL by leveraging non-blocking I/O and parallel execution using coroutines. So while the GIL can still be a performance bottleneck in certain cases, the use of asyncio can help mitigate its impact on performance.
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Asked: 2021-04-19 11:00:00 +0000
Seen: 7 times
Last updated: Oct 21 '22
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