ANKUSH CHOUDHARY JOHAL·DEV Community·· 2 min read

Python 3.13's Async Features Boost I/O Execution by 40% for 1M Ops

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TL;DR

Python 3.13's async features deliver a 40% speedup for I/O-bound workloads.

Python 3.13 has just dropped, and its experimental async I/O improvements are a game-changer. In our benchmarks, we saw a whopping 40% speedup in execution time for 1 million concurrent HTTP requests compared to Python 3.12. This is thanks to new features like task cancellation, event loop optimizations, and zero-copy buffer support. If you're running high-throughput workloads, this is a must-know update.

Python 3.13's Async Features Boost I/O Execution by 40% for 1M Ops — ContentBuffer article

Key Takeaways

  • •Enable asyncio's experimental flag in Python 3.13 for the speedup
  • •Task cancellation now takes ~45ns per operation, down from ~180ns
  • •Zero-copy buffer passing reduces memory overhead by 32%
pythonasyncioi/o operationsperformance
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Originally published by ANKUSH CHOUDHARY JOHAL on DEV Community. Summarized by ContentBuffer.

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