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Python 初級:Multi-processing 多進程|教學|廣東話|60fps Video

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Multi-processing
* Process, separated memory space, true-parallelism
* Topics: Interprocess communication (IPC) methods, race condition, deadlock, Pool
* Demo: process basics, process coordination, locking, etc.

00:00 Introduction
00:52 Roadmap
02:28 Patreon
03:06 Python interpreter process
05:44 Main process & Child process
08:13 Start method: Spawn & Fork
13:51 Split CPU-bound work
14:57 Thread VS Process
17:51 Process & True parallelism
22:01 Multithreading VS Multiprocessing
23:51 Multi-core CPUs
25:20 Problem & solution
27:29 Race condition
30:43 IPC methods
34:28 Exchange objects: Queue & Pipe
39:32 Share data: Shared memory & Server process
43:44 Manager
44:59 Process safety
49:09 Pool
53:19 DEMO - program structure
59:31 Current_process name & pid
01:05:07 freeze_support()
01:10:23 Start method & variable
01:20:14 terminate() & kill()
01:27:15 Sum & square example
01:35:37 Daemon process
01:48:18 Separated memory space
01:59:06 IPC: Queue
02:16:04 IPC: Unidirectional pipe
02:22:56 IPC: Bidirectional pipe
02:30:05 IPC: Close connection
02:39:19 IPC: Ctypes, Value
02:46:24 IPC: Array
02:49:24 IPC: Manager - Value
02:56:30 IPC: Manager - list, dict, namespace
03:05:32 IPC: Manager - with
03:08:33 Process safety: Race condition & Lock
03:18:34 Barrier
03:24:19 Condition
03:31:58 Event
03:35:33 multiprocessing.Pool: map(), map_async()
03:48:19 multiprocessing.Pool: apply(), apply_async()
03:55:03 Encryption & decryption example
03:59:33 Method 1: Single-process (sequential)
04:04:46 Method 2: Multiple-Process (bad)
04:08:16 Method 3: Pool (good)
04:12:09 Process pool executor & thread pool executor
04:17:18 Summary

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