Web Reference: As others have said multiprocessing can only transfer Python objects to worker processes which can be pickled. If you cannot reorganize your code as described by unutbu, you can use dill s extended pickling/unpickling capabilities for transferring data (especially code data) as I show below. 1 day ago · Introduction ¶ multiprocessing is a package that supports spawning processes using an API similar to the threading module. The multiprocessing package offers both local and remote concurrency, effectively side-stepping the Global Interpreter Lock by using subprocesses instead of threads. Explore how to handle memory error scenarios caused by parallel processing in Python, and learn about their root causes with practical strategies for troubleshooting and resolving them.
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