Date: Mar 17, 2024
Multithreading in Python seems slower due to the Global Interpreter Lock (GIL). Workarounds include multiprocessing for CPU-bound tasks and multithreading for I/O-bound tasks. External C/C++ libraries and newer Python versions also improve parallelism.
Date: Mar 24, 2024
Python's multithreading capabilities are limited by the Global Interpreter Lock (GIL), but can still provide performance benefits for I/O-bound tasks. Tips include using multiprocessing for CPU-bound tasks and avoiding shared memory between threads.
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