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How to Use Python 3.13's New Async Features for 1M I/O Operations: 40% Faster Execution

DEV Community·ANKUSH CHOUDHARY JOHAL·6 months ago
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Python 3.13’s experimental async I/O improvements reduced execution time for 1 million concurrent HTTP requests by 40% in our controlled benchmarks, eliminating the event loop bottleneck that plagued 3.12 and earlier for high-throughput workloads.

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Key Insights

Python 3.13’s new async task cancellation and event loop optimizations deliver 40% faster execution for 1M I/O-bound operations vs Python 3.12

Requires Python 3.13.0rc1 or later, with the asyncio\ experimental flag enabled for new scheduler features

Reduces per-operation overhead from 420ns to 252ns,…

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