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🚀 Is #Python314 really faster? ⚙️ Over 100 #benchmark tests were conducted using #pyperformance library on both #AMDRyzen and #IntelCore processors to compare #Python 3.14 with earlier versions — 3.13, 3.12, 3.11, 3.10. 👉 More details: en.lewoniewski.info/2025/pyt…
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13 Jan 2025
4. Performance Enhancements in asyncio: The asyncio module now uses double-linked lists for better execution speed, improving performance by about 10% on PyPerformance benchmarks and reducing memory usage. This makes asynchronous programming in Python more efficient. 6/8
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pypi.org/project/pyperforman… pyperformance 1.11.0 is released.

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With the invaluable help of @llanga, AArch64 results have been added to speed.python.org and we can finally track CPython performance on this platform! Thanks to @Arm and @Equinix for sponsoring the machine used to run pyperformance! #Python #onArm

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pyperformance is now available with full compatibility for Python 3.12 pypi.org/project/pyperforman…

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3 Oct 2023
CPython 3.12 didn't enable frame pointers by default like I thought I read they were doing. So now I'm really confused why pyperformance is exhibiting so many significant regressions.
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2 Oct 2023
CPython 3.12 release notes are touting performance improvements. But I’m seeing mostly regressions in pyperformance. Now I’m curious if the slowdown is due to enabling frame pointers by default. Hopefully it is just flawed benchmarking methodology.
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pyperformance 1.0.9 is released. pypi.org/project/pyperforman…

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#Python 3.11 is 25% faster than Python 3.10 CPython 3.11 is an average of 25% faster than #CPython 3.10 as measured with the pyperformance benchmark suite, when compiled with GCC on #ubuntu #Linux. Depending on your workload, the overall speedup could be 10-60%.
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Phoronix: PyPerformance benchmark is on average 32% faster on Python 3.11 compared to 3.10 (on a Ryzen 9 5950X) phoronix.com/review/python-3… Discussions: discu.eu/q/phoronix.com/revi… #programming #python

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Sur les tests de pyperformance, CPython 3.11 est en moyenne 28% plus rapide que CPython 3.10, et jusqu'à 60% sur certains programmes ! C'est notamment lié à de petites optimisations au niveau des couches basses de l'interpréteur, sur des opérations utilisées très fréquemment :
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Pour mesurer la performance d'un langage, on utilise des benchmarks : une série d'algos standardisés, sur lesquels on mesure précisément le temps d'exécution. Le benchmark pyperformance reprend du code utilisé dans le monde réel comme le chiffrement AES ou la synthèse d'images :
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Phoronix: PyPerformance benchmark is on average 32% faster on Python 3.11 compared to 3.10 (on a Ryzen 9 phoronix.com/review/python-3… by @Phoronix

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10 Jun 2022
pyperformance – Python Performance Benchmark Suite github.com/python/pyperforma…

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6 Jun 2022
Sry for late response, missed your tweet:) I checked today again with pyperformance - doesn't matter which image you choose, it's generally slow. #python #docker
22 Nov 2021
”In general, #Python runs really fast on the M1 Max. Here, the PyPerformance benchmark, an official suite of real-world Python application benchmarks. Overall, the M1 Max is about 70% faster than the 5600X.” tlkh.dev/benchmarking-the-ap…

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I am gonna rewrite pyperformance aren't I?
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Replying to @pypyproject
heh: $ pypy bm_crypto_pyaes.py ......... crypto_pyaes: Mean - std dev: 6.88 ms - 0.22 ms cfbolz@drais:~/projects/misc/pyperformance $ pypy3 bm_crypto_pyaes.py ......... crypto_pyaes: Mean - std dev: 3.90 ms - 0.10 ms (we had some improvements for longs in the meantime)
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16 Nov 2019
Python でベンチマーク取る時は何が主流なんだろう - timeit 公式パッケージ: docs.python.org/3.8/library/… - pyperformance: github.com/python/pyperforma… - pytest-benchmark: github.com/ionelmc/pytest-be… ぱっと調べただけでも3つぐらいある…

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