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How do Python threads differ from processes?

Expert Python
Quick Answer Threads: share memory, OS-scheduled, lighter weight than processes, GIL limits CPU parallelism. Processes: separate memory spaces (communicate via queues/pipes/shared memory), true CPU parallelism, higher overhead, more isolation. Use threads for I/O-bound work (network, file), processes for CPU-bound work (computation, data processing). multiprocessing.Pool parallelizes functions across cores.

Answer

Threads share memory and suit I/O-bound tasks.
Processes have separate memory and suit CPU-bound tasks.
Processes bypass GIL for true parallelism.
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