What NoGIL Python means for machine learning

What does NoGIL Python actually mean for machine learning workloads? In this video I break down PEP 703, how NoGil / free-threaded Python changes threading across CPUs and what that means ML tasks. We look at how threading, multiprocessing, and native libraries behave today, then benchmark free-threaded Python across ML libraries like NumPy, pandas, SciPy, PIL, and Hugging Face to see where you actually get speedups. 0:00 - Intro 0:26 - Concurrency mechanisms in Python 3:13 - Benchmarking ML libraries 6:03 - Summary of results