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Threads/Multithreading Python Multithreading in Python Multithreading in Python is used to run multiple threads (smaller units of a process) concurrently to improve performance, especially in ...

1. Global Interpreter Lock (GIL): The number one disadvantage of Python's multithreading is the GIL—it doesn't allow multiple threads to execute Python bytecode simultaneously in one process. 2.

Thread Safety Issues: Multithreading can introduce complex issues such as race conditions, deadlocks, and resource contention, which require careful handling using locks or semaphores. Higher Memory ...