multiprocessing — Intermediate Examples
Process-based parallelism: Process, Pool, Queue, shared memory
multiprocessing intermediate patterns
More advanced usage patterns for multiprocessing.
python
# multiprocessing - intermediate patterns import multiprocessing print("Intermediate multiprocessing usage patterns") print(f"Module doc: {multiprocessing.__doc__[:100] if multiprocessing.__doc__ else 'No docstring'}...")
These patterns show how multiprocessing is used in real-world applications.
multiprocessing with other modules
Combining multiprocessing with other standard library modules.
python
# Combining multiprocessing with other modules import multiprocessing import json data = {"module": "multiprocessing", "type": "stdlib"} print(json.dumps(data, indent=2))
multiprocessing works well with other stdlib modules for powerful data processing.
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