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Multithreading in Python can lead to deadlocks when threads wait for each other's resources, halting the program. Learn their causes and prevention techniques.
Multithreading in Python improves performance but uncaught exceptions in a thread cause silent termination, requiring careful exception handling.
Asyncio is Python's library for writing concurrent code with async/await, ideal for I/O-bound tasks. It uses a single-threaded event loop instead of threads for efficient task switching.
Python multithreading enables concurrent execution but is limited by the Global Interpreter Lock (GIL). It's best for I/O-bound tasks, not CPU-intensive ones, and requires careful handling.
Testing async Python code requires modern tools to handle race conditions and ensure reliability in applications.