New post on the Python Insider blog from Ken Jin:

"Python 3.15's JIT is now back on track"

https://blog.python.org/2026/03/jit-on-track/
#Python #JIT #performance #python315

Python 3.15's JIT is now back on track | Python Insider

A look at Python's JIT in 3.15a7.

Python Insider
Python 3.15’s JIT is now back on track

Python 3.15’s JIT is now back on track

Ken Jin’s Blog

🐍🚀 Out now: Python 3.15 alpha 7!

This is the first one with lazy imports (PEP 810) and frozendict (PEP 814)! Try it out and give us feedback.

https://discuss.python.org/t/python-3-15-0-alpha-7/106475

☃️ Just one alpha left until the feature freeze! Core team: get your PEPs in!

#Python #Python315 #release PEP810 #LazyImports #PEP814 #frozendict

Python 3.15.0 alpha 7

This is an early developer preview of Python 3.15 Major new features of the 3.15 series, compared to 3.14 Python 3.15 is still in development. This release, 3.15.0a7, is the seventh of eight planned alpha releases. Alpha releases are intended to make it easier to test the current state of new features and bug fixes and to test the release process. During the alpha phase, features may be added up until the start of the beta phase (2026-05-05) and, if necessary, may be modified or deleted up ...

Discussions on Python.org
The Story of Python's Lazy Imports: Why It Took Three Years and Two Attempts

From PEP 690's rejection to PEP 810's unanimous acceptance — how Python finally got explicit lazy imports after three years of real-world production evidence and a fundamental design inversion

TechLife

Current status of PEPs for 3.15 with two months until feature freeze:

Informational: 1 (release schedule)

Open (under consideration): 20

Accepted (may not be implemented yet): 5

Finished (done, with a stable interface): 4

Deferred (postponed pending further research or updates): 1

Rejected, Superseded, and Withdrawn: 2

Unmerged PRs: 6

https://peps.python.org

#Python #Python315

PEP 0 – Index of Python Enhancement Proposals (PEPs) | peps.python.org

This PEP contains the index of all Python Enhancement Proposals, known as PEPs. PEP numbers are assigned by the PEP editors, and once assigned are never changed. The version control history of the PEP texts represent their historical record.

Python Enhancement Proposals (PEPs)

Coming soon to Python 3.15: frozendict

The Steering Council has just accepted @vstinner and @dongheena's PEP 814 "Add frozendict built-in type".

https://discuss.python.org/t/pep-814-add-frozendict-built-in-type/104854/121

https://peps.python.org/pep-0814/

#Python #PEP814 #frozendict #Python315

PEP 814: Add frozendict built-in type

After careful deliberation, the Python Steering Council is pleased to accept PEP 814 – Add frozendict built-in type. The absence of an immutable dict counterpart has been a long-standing gap in Python and has been requested for a long time in different forms. We agree this is a clear net positive for the language. We are accepting this PEP with the following modifications: Performance should not be framed as a goal or motivation. The value of frozendict is in its immutability semantics, not i...

Discussions on Python.org

🐍🅰️ Out now, Python 3.15 alpha 6!

PEP 799: A high-frequency, low-overhead, statistical sampling profiler
PEP 798: Unpacking in comprehensions with * and **
PEP 686: Python now uses UTF-8 as the default encoding
PEP 782: A new PyBytesWriter C API to create a Python bytes object
PEP 728: TypedDict with typed extra items
The JIT compiler has been significantly upgraded with up to 7-8% speedup

🧊 Just two more alphas until the feature freeze! 🧊

https://discuss.python.org/t/python-3-15-0-alpha-6/106122
#Python #Python315 #release

Python 3.15.0 alpha 6

This is an early developer preview of Python 3.15 Major new features of the 3.15 series, compared to 3.14 Python 3.15 is still in development. This release, 3.15.0a6, is the sixth of eight planned alpha releases. Alpha releases are intended to make it easier to test the current state of new features and bug fixes and to test the release process. During the alpha phase, features may be added up until the start of the beta phase (2026-05-05) and, if necessary, may be modified or deleted up un...

Discussions on Python.org

Handy thing I just spotted coming to Python 3.15:

"The -W option and the PYTHONWARNINGS environment variable can now specify regular expressions instead of literal strings to match the warning message and the module name, if the corresponding field starts and ends with a forward slash (/).

"(Contributed by Serhiy Storchaka in gh-134716.)"

https://docs.python.org/3.15/whatsnew/3.15.html#other-language-changes

https://github.com/python/cpython/issues/134716

#Python #Python315 #regex #ComingSoon

What’s new in Python 3.15

Editor, Hugo van Kemenade,. This article explains the new features in Python 3.15, compared to 3.14. For full details, see the changelog. Summary – Release highlights: PEP 810: Explicit lazy import...

Python documentation

Using the new Tachyon profiler coming to Python 3.15 I profiled a one-liner to find a bottleneck, then sped up some 26-year-old code in @pillow!

https://hugovk.dev/blog/2026/faster-pillow/

#Python #python315 #Tachyon #Pillow #PythonPillow #performance

Speeding up Pillow's open and save

Hugo van Kemenade
Oh look, folks! 🎉 Henry and Damian discovered how to make Python's #packaging library 3x faster by redefining the laws of time and space with #Python 3.15's #magic wand. 🚀 Now we can all sleep peacefully knowing our package versions are resolved at lightning #speed while the rest of our code crawls at a snail's pace. 🐌💨
https://iscinumpy.dev/post/packaging-faster/ #Python315 #CodeOptimization #HackerNews #HackerNews #ngated
How we made Python's packaging library 3x faster

Along with a pip (and now packaging) maintainer, Damian Shaw, I have been working on making packaging, the library behind almost all packaging related tools, faster at reading versions and specifiers, something tools like pip have to do thousands of times during resolution. Using Python 3.15’s new statistical profiler and metadata from every package ever uploaded to PyPI, I measured and improved core Packaging constructs while keeping the code readable and simple. Reading in Versions can be up to 2x faster and SpecifierSets can be up to 3x faster in packaging 26.0, now released! Other operations have been optimized, as well, up to 5x in some cases. See the announcement and release notes too; this post will focus on the performance work only.

ISciNumPy.dev