Python Multithreading and Multiprocessing: Concurrency and Parallelism
summary
Covers concrete Python APIs and tradeoffs by showing threading and multiprocessing modules with runnable examples and demos of global interpreter lock behavior that releases on I O but blocks CPU bound code, how a process pool bypasses the GIL for true parallelism, and how a thread pool limits concurrency. Shows Lock, RLock, Semaphore, Event, Condition, Timer, pipes, queues, Manager proxies, shared memory and pickling, explains zombie processes and recommends preferring shared memory and careful termination for performance and correctness.
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chapters (15)
- 0:00Start
- 4:11Concurrency
- 7:24Python threading
- 11:20Thread parallelism
- 12:17Global Interpreted Lock
- 15:07Thread pool
- 16:06Python multiprocessing
- 17:33Deadlock
- 18:34Locks & RLock
- 19:47threading.semaphore
- 23:17Pipes
- 25:19Queue
- 25:35Shared memory
- 26:54Server process
- 28:03Don't do it
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