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 ...

Learn some of the best tools, techniques, and practices to debug multithreading errors in your applications, such as using a debugger, logging, testing, design patterns, and code standards.

When using sys._current_frames in a threaded application there is a high risk of a deadlock in the interpreter. Below is my analysis from one such hang. We have never seen this problem with Python 3.8 ...

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.