Mastodawn

🐍🚀 Out now: Python 3.15 beta 3!

💤 Lazy imports!
🧊 frozendict builtin!
💂 sentinel builtin!
📉 Tachyon profiler!
🖼️ Frame pointers everywhere!
🛅 Unpacking in comprehensions!
🗣️ UTF-8 as the default encoding!
🆕 Package startup config files!
⌨️ TypedDict and TypeForm!
🐎 Faster JIT!
🎨 More colour!
🚌 & more!

Library maintainer? We *strongly encourage* you to add 3.15 to your CI and test during the beta. And send us those bugs reports!

https://discuss.python.org/t/python-3-15-0-beta-3-is-here/107866?u=hugovk
#Python #Python315 #CPython #release

Python 3.15.0 beta 3 is here!

Here comes the penultimate beta. This is a beta preview of Python 3.15 Python 3.15 is still in development. This release, 3.15.0b3, is the third of four planned beta releases, containing around 195 bugfixes, build improvements and documentation changes from 86 contributors since 3.15.0b2. Beta release previews are intended to give the wider community the opportunity to test new features and bug fixes and to prepare their projects to support the new feature release. We strongly encourage ma...

Discussions on Python.org

Habr Jun 16

Как я ускорил dependency injection в Python в 130 раз: от рефлексии до компиляции графа

«Контейнер для DI — это лишний оверхед, передай зависимость руками и не выдумывай». Я тоже так считал, пока не замерил: наивный контейнер резолвил типичный сервис-граф примерно в 200 раз медленнее ручной сборки. Рассказываю, как тремя шагами — кэш плана, удаление проверки, которая всё равно не срабатывает, и компиляция графа в одну плоскую функцию — довёл резолв с 52.9 до 0.40 мкс/оп, почти как руками. И как при этом не дал exec-кодогенерации тихо собирать не те объекты в проде. Приёмы переносимые: профилирование микрооверхеда, выкидывание мёртвой защиты, фаззинг на эквивалентность. Читать разбор

https://habr.com/ru/articles/1048184/

#python #оптимизация_производительности #профилирование #dependency_injection #метапрограммирование #кодогенерация #бенчмарк #cpython

Как я ускорил dependency injection в Python в 130 раз: от рефлексии до компиляции графа

Про DI в Python вечно всплывает один и тот же спор: контейнер — это лишний оверхед, протащи зависимость в конструктор руками и не выдумывай. Звучит логично, я и сам так долго считал. Но логично — не...

Хабр

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Hugo van Kemenade Jun 10

Out now: Python 3.14.6 and 3.13.14!

A day late to include a last-minute OpenSSL release in the installers. Thanks to @standupmaths for the help with the release notes :)

https://discuss.python.org/t/python-3-14-6-and-3-13-14-are-now-available/107714
#Python #CPython #Python314 #Python313 #release

Python 3.14.6 and 3.13.14 are now available!

A day late, a dollar short an OpenSSL release ahead[1], we have two new Python bugfix releases! Python 3.14.6 Python 3.14.6 is the sixth maintenance release of 3.14, containing around 179 bugfixes, build improvements and documentation changes since 3.14.5. Python 3.13.14 Python 3.13.14 is the fourteenth maintenance release of 3.13, containing around 240 bugfixes, build improvements and documentation changes since 3.13.13. More resources Online documentation PEP 745, 3.14 Release Schedule ...

Discussions on Python.org

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defnull Jun 8

@schenklklopfer Huh, interesting.

cPython 3.12.3:
9475.86 MB/s

PyPy (nightly, default settings):
4378.93 MB/s

PyPy (nightly, --jit off):
3676.98 MB/s

My guess: Most of the time is spent in bytes.find(), which is a highly optimized C function in #cPython already. The actual python overhead is so small that my parser even beats #rust (emmett-core) in this benchmark. #PyPy does not have much room for its #JIT to do anything, and seems to have a less optimized stdlib?

Neustradamus :xmpp: :linux:Jun 1

#Poezio 0.18 has been released ( #XMPP / #XMPPClient / #Slixmpp / #Python / #CPython ) https://poez.io/

Poezio

Neustradamus :xmpp: :linux:Jun 1

#Slixmpp 1.15.0 has been released ( #XMPP / #Jabber / #SleekXMPP / #Python / #CPython ) https://slixmpp.readthedocs.io/

slixmpp

Paolo Melchiorre May 29

Day 2 of PyCon Italia 2026 has started! ☕🐍

After a social evening that ended a little later than planned, we're back in the keynote room this morning with Diego Russo talking about the evolution of CPython performance.

It's always a pleasure to see friends from the Python community on stage, especially when the topic is how Python itself keeps getting faster release after release.

A strong start to the second day of the conference. 🚀

#PyConItalia #Python #CPython #PyCon

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Hugo van Kemenade May 11

@mgorny You're welcome?

We don't usually do RCs for patch releases, the last one was five years ago. The 3.14.5 RC was specifically for the GC change.

Unfortunately timelines were a bit short because I wanted to get this out, but it took a bit of time to prepare and test the patches and I didn't want to rush that, nor release during PyCon US.
https://discuss.python.org/t/reverting-the-incremental-gc-in-python-3-14-and-3-15/107014
#Python #CPython

Reverting the incremental GC in Python 3.14 and 3.15

Python 3.14 shipped with a new incremental garbage collector. However, we’ve had a number of reports of significant memory pressure in production environments. We’ve decided to revert it in both 3.14 and 3.15, and go back to the generational GC from 3.13. 3.15 is still in alpha, so such changes are fine. For 3.14, it is unusual for a patch release, but the old GC is a known quantity, the new incremental GC didn’t go through the PEP process, and was rolled back just before the final release of ...

Discussions on Python.org

Jesus Michał von Gentoo 🏔 (he)May 11

Always appreciate how people release RCs to give others opportunity to test their changes early, then release final versions before the fixes for "breaks #Portage" kind of regressions introduced in the RCs are merged.

https://github.com/python/cpython/issues/149527

#Gentoo #Python #CPython

`OSError: AF_UNIX path too long` regression in `forkserver` · Issue #149527 · python/cpython

Bug report Bug description: Since fd81246 (in 3.14 as e590f00), we're seeing Gentoo Portage randomly fail with: Traceback (most recent call last): File "/usr/lib/portage/python3.14/ebuild-ipc.py", ...

GitHub

Mahmoud Zalt May 9

Pushing Python to its limits? “How Python’s Heart Stays Safe at Full Speed” digs into how the core runtime stays fast without sacrificing safety.

#Python #CPython #programming #softwaredesign