Concurrency and Parallelism with Python for Humans
summary
Covers when and how to use multithreading and multiprocessing in Python effectively, focusing on avoiding common mistakes. Reviews concurrency concepts and the standard modules concurrent.futures, multiprocessing, subprocess, and threading, with practical guidance and examples.
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chapters (11)
- 0:00Introduction
- 3:53Computer architecture basics
- 7:03Processes and system ops
- 13:40Concurrency vs parallelism
- 16:51Python threads intro
- 19:10Thread safety and races
- 23:26Synchronization with locks
- 27:00Concurrent.futures for threads
- 30:10CPU-bound tasks and GIL
- 32:03Multiprocessing in Python
- 33:48Parallel library overview
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