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Python Asyncio Programming
Event Loops, Coroutines, Tasks, Cancellation, Timeouts, Queues, Async Clients and Debugging Concurrent Code
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Your async program works in the demo and hangs in production. Tasks vanish, exceptions go missing, one blocking call freezes everything, and a slow server holds your workers hostage. This book gives you a clear model of how the event loop really works, then uses it to solve each problem in turn. You will start, own and cancel tasks with task groups, put a deadline on every wait, move work through bounded queues, limit concurrency with semaphores, and call HTTP services with sensible timeouts. You will also push blocking code onto threads and track down stalls with debug mode and the inspection tools in Python 3.14. Every example was run on Python 3.14 against a local test server, and the book closes with a complete worker pool you can adapt to your own jobs.
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