What are threads, processes and asyncio, and when do you use each?
Model answer
Threads suit I/O-bound work with shared memory but are limited by the GIL for CPU work. Processes (multiprocessing) use multiple cores for CPU-bound work. asyncio runs many I/O tasks cooperatively in one thread with async and await, ideal for many network calls. Choose based on whether the work waits on I/O or uses CPU.
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The Python Standard Library: Dates, Counter, Statistics and More in the course Python for Beginners: Learn to Code with Real Projects.
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