I think it is beneficial to some people, but not a lot. My guess is that most Python users (from beginners to advanced users, including many professional data scientists) have never heard of GIL or thought of doing any parallelization in Python
. Code that needs performance and would benefit from multithreading, usually written by professional software engineers, likely isn't written in Python in the first place. It would make sense for projects that can benefit from disabling GIL without a ton of changes. Remember it is not trivial to update single threaded code to use multithreading correctly
. in Python language specifically. Their library may have already done some form of parallelization under the hood
