multiprocessing — Expert Examples
Process-based parallelism: Process, Pool, Queue, shared memory
multiprocessing deep dive
Implementation details and performance considerations.
python
# multiprocessing internals import multiprocessing import sys mod = multiprocessing print(f"Module: {mod.__name__}") print(f"File: {getattr(mod, '__file__', 'built-in')}") print(f"Package: {getattr(mod, '__package__', 'N/A')}") print(f"Size in modules: {sys.getsizeof(mod)} bytes")
Understanding the internals of multiprocessing helps write more efficient code.
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