Generated by GPT-5-mini| Python 3.11 | |
|---|---|
| Name | Python 3.11 |
| Developer | Python Software Foundation |
| Released | 2022-10-24 |
| Latest release | 2023 |
| Programming language | C (programming language), Python (programming language) |
| License | Python Software Foundation License |
| Website | Python.org |
Python 3.11 Python 3.11 is a major release of the Python (programming language) family produced by the Python Software Foundation and driven by contributors from projects such as Guido van Rossum's community and organizations like Microsoft, Google, Red Hat, Intel Corporation, and Amazon (company). The release followed established development governance influenced by processes used in projects such as PEP 8-related discussions and coordination with ecosystems maintained by PyPI maintainers and large distributors including Debian, Fedora, Ubuntu, and Arch Linux. The release cycle involved collaboration with infrastructure projects like GitHub, GitLab, Travis CI, and AppVeyor as well as standards bodies such as ISO/IEC working groups.
Python 3.11 continues the lineage begun after the transition from Python 2.7 to the 3.x series, advancing runtime features pursued by contributors from institutions such as MIT, Stanford University, University of Cambridge, Carnegie Mellon University, and companies like Netflix and Dropbox (company). The release integrates language work coordinated through Python Enhancement Proposal discussions and core developer sprints influenced by models from Apache Software Foundation governance and practices used by Linux Kernel maintainers. Packaging and distribution improvements intersect with projects like pip, setuptools, wheel (computing), and Conda (package manager), with buildtool interactions involving CMake, Meson (software), and Bazel.
Python 3.11 introduced multiple language and standard library enhancements contributed by developers from JetBrains, Facebook, Instagram, Canonical (company), and academia including University of California, Berkeley. New syntax and typing features reflect influence from proposals discussed in PEP 484, PEP 544, and later PEPs with review by core developers and implementers who previously worked on projects like MyPy, Pyright, NumPy, Pandas (software), and SciPy. Standard library modules such as asyncio, logging, concurrent.futures, and http saw API and documentation work that paralleled efforts in projects like Django, Flask (web framework), Tornado (web server), and FastAPI. Contributions also interfaced with ecosystem tools like Black (software), isort, Mypy, Pytest, and Sphinx (software).
Performance efforts in Python 3.11 built upon research and optimization strategies from groups such as CPython developers, researchers at EPFL, MIT Computer Science and Artificial Intelligence Laboratory, and corporate teams at Facebook AI Research, Google Research, and Intel Labs. Improvements include interpreter-level optimizations influenced by prior work from projects like PyPy, Jython, and IronPython as well as JIT techniques explored in V8 (JavaScript engine) and HotSpot (virtual machine). Benchmarking and performance validation used suites and infrastructures developed by Phoronix, SPEC, Google Benchmark, and continuous integration systems from CircleCI and Travis CI. Numeric and scientific workloads tested against libraries such as Numba, NumPy, TensorFlow, PyTorch, and SciPy reported runtime gains relevant to deployments on hardware from NVIDIA, AMD, ARM Limited, and cloud platforms like Amazon Web Services, Google Cloud Platform, and Microsoft Azure.
Migration guidance for Python 3.11 referenced earlier community transitions including the move from Python 2.7 and coordination with projects like Django, Flask (web framework), SQLAlchemy, Pandas (software), and NumPy. Packaging compatibility touched tools and registries maintained by PyPI, Conda Forge, and distributions like Debian and Red Hat Enterprise Linux. Integration testing and compatibility checks were undertaken by maintainers of prominent applications and services including YouTube, Instagram, Spotify, Dropbox (company), and Reddit (website), and by open source CI efforts connected to Continuous Integration platforms such as GitHub Actions.
The release process for Python 3.11 followed calendar and milestone practices used historically by the Python Software Foundation and mirrored by other large projects such as Linux kernel, Ruby on Rails, and Node.js (software) projects. Pre-release alpha and beta milestones were coordinated with contributors from PSF, corporate sponsors like Microsoft and Google, and packaging maintainers at Debian and Fedora Project. Security advisories and release notes were assembled in formats similar to those published by OpenSSL, LibreOffice, and Mozilla projects.
Adoption of Python 3.11 was tracked by organizations and platforms including GitHub, Stack Overflow, PyPI, Anaconda (company), and companies such as Instagram, Dropbox (company), Spotify, Netflix, and Pinterest. Data collection and ecosystem metrics referenced tools and services like Snyk, Libraries.io, Tidelift, and surveys conducted by JetBrains and Stack Overflow. Enterprises and research institutions including NASA, CERN, European Space Agency, Los Alamos National Laboratory, and Lawrence Berkeley National Laboratory reported migration plans and testing activities.
Security updates and bugfix workflows for Python 3.11 were managed through practices shared with projects such as OpenSSL, LibreSSL, Mozilla Foundation, and operating system vendors like Ubuntu and Debian. Coordinated disclosure and patching involved maintainers from PSF and collaborators from companies including Red Hat, Canonical (company), Microsoft, and Google. Tooling for static analysis and vulnerability scanning used projects like Bandit (software), PyLint, Mypy, and services such as Snyk and GitHub Security Lab.
Category:Python (programming language) releases