What are common performance issues in Python multithreading?
An example of an AI chatbot conversation about performance issues in Python multithreading.
What are common performance issues in Python multithreading?
Common issues include the Global Interpreter Lock (GIL), context switching overhead, and thread contention.
How does the GIL affect multithreading performance?
The GIL allows only one thread to execute Python bytecode at a time, limiting true parallelism.
Are there ways to mitigate GIL's impact?
Yes, you can use multiprocessing instead of multithreading, or leverage libraries like concurrent.futures.
What about using asyncio for concurrent tasks?
Asyncio is great for I/O-bound tasks, allowing you to handle many connections without the overhead of threads.
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