Mastering Python's Coroutines: Boost Your Code's Efficiency and Performance
Coroutines and structured concurrency in Python allow efficient concurrent code execution. Coroutines, defined with 'async', can pause and resume. The asyncio library manages execution with an event loop. TaskGroups ensure task completion. Coroutines excel in I/O operations, enabling responsive servers and data processing pipelines. Best practices include using async context managers and handling cancellations properly.
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