This is for real, but this doesn't mean you can't use parallelism. Only that you can't use thread for them most of the time . Parallelism strategies in Python

This is for real, but this doesn't mean you can't use parallelism. Only that you can't use thread for them most of the time . Parallelism strategies in Python usually revolve around using the multprocessing module, a c extension (numpy will release the gil, and hence all the science stack) or using a 3rd party tools (dask is pretty popular, and allow easy parallelism: https://dask.org/ https://dask.org/).