Hi there,
before we begin the usual round of release notes, please do note that the three new versions of Python released today do not contain Windows installers yet. This is temporary, due to a more complex than expected code signing certificate renewal.
We’ve held the releases all week while the situation is getting resolved but the urgency of 3.10.2 in particular made us release without the Windows installers after all. We apologize for the inconvenience and are doing everything we can to put the Windows installer in place as soon as possible.
We’re rooting for both Ee Durbin and Steve Dower who are helping us resolve this. Thanks for your hard work! Hopefully, by this time next week, this will only be a footnote in release management history.
The releases you’re looking at were all cursed in some way. What a way to start 2022! Besides the certificate hold up, Python 3.10.2 is an expedited release (you’ll want to upgrade, read below!), Python 3.11.0a4 had almost 20 (sic, twenty!) release blockers before being finally green, and Python 3.9.10 was made from a new M1 Mac on macOS Monterey which made the usually boring process quite a ride. We’re hoping 2022 won’t be this intense all year!
<https://discuss.python.org/t/python-3-10-2-3-9-10-and-3-11-0a4-are-now-avai…>Python 3.10.2
Get it here: https://www.python.org/downloads/release/python-3102/ <https://www.python.org/downloads/release/python-3102/> <https://www.blogger.com/#>
This is a special bugfix release ahead of schedule to address a memory leak that was happening on certain function calls when using Cython <https://github.com/cython/cython>. The memory leak consisted of a small constant amount of bytes in certain function calls from Cython code. Although in most cases this was not very noticeable, it was very impactful for long-running applications and certain usage patterns. Check bpo-46347 <https://bugs.python.org/issue46347> for more information.
Upgrading existing Python 3.10 installations is highly recommended. Even though this is an expedited release, it still contains over 100 other bug fixes. See the change log <https://docs.python.org/release/3.10.2/whatsnew/changelog.html> for details.
The next Python 3.10 maintenance release will be 3.10.3, currently scheduled for 2022-04-04.
<https://discuss.python.org/t/python-3-10-2-3-9-10-and-3-11-0a4-are-now-avai…>Python 3.9.10
Get it here: https://www.python.org/downloads/release/python-3910/ <https://www.blogger.com/#>
Python 3.9.10 is the ninth maintenance release of the legacy 3.9 series. Note: Python 3.10 is now the latest feature release series of Python 3.
Python 3.9 micro-releases enter double digits! There’s been 130 commits since 3.9.9 which is a higher number of fixes for this stage of the life cycle compared to 3.8. See the changelog <https://docs.python.org/release/3.9.10/whatsnew/changelog.html> for details on what changed.
As a reminder, on macOS, the default installer is now the new universal2 variant. It’s compatible with Mac OS X 10.9 and newer, including macOS 11 Big Sur and macOS 12 Monterey. Python installed with this variant will work natively on Apple Silicon processors.
The next Python 3.9 maintenance release will be 3.9.11, currently scheduled for Pi Day '22 (2022-03-14).
<https://discuss.python.org/t/python-3-10-2-3-9-10-and-3-11-0a4-are-now-avai…>Python 3.11.0a4
Get it here: https://www.python.org/downloads/release/python-3110a4/ <https://www.blogger.com/#>
Python 3.11 is still in development. This release, 3.11.0a4, is the fourth of seven planned alpha releases.
Alpha releases are intended to make it easier to test the current state of new features and bug fixes by the community, as well as to test the release process.
During the alpha phase, features may be added up until the start of the beta phase (2022-05-06) and, if necessary, may be modified or deleted up until the release candidate phase (2022-08-01). Please keep in mind that this is a preview release and its use is not recommended for production environments.
Many new features for Python 3.11 are still being planned and written. Among the new major new features and changes so far:
PEP 657 <https://www.python.org/dev/peps/pep-0657/> – Include Fine-Grained Error Locations in Tracebacks
PEP 654 <https://www.python.org/dev/peps/pep-0654/> – Exception Groups and except*
The Faster CPython Project <https://github.com/faster-cpython> is already yielding some exciting results: this version of CPython 3.11 is ~ 19% faster on the geometric mean of the PyPerformance benchmarks <>, compared to 3.10.0.
(Hey, fellow core developer, if a feature you find important is missing from this list, let Pablo know <mailto:pablogsal@python.org>.)
The next pre-release of Python 3.11 will be 3.11.0a5, currently scheduled for Wednesday, 2022-02-02.
<https://discuss.python.org/t/python-3-10-2-3-9-10-and-3-11-0a4-are-now-avai…>Python 3.6 is pining for the fjords
Python 3.6 is no more. It’s an ex-Python. It has ceased to be. On December 23rd 2021 is has reached its end-of-life phase <https://www.python.org/dev/peps/pep-0494/> after five successful years.
It’s been the first truly popular Python 3 release, introducing f-strings to the world and making big improvements to both asyncio (async generators!) and typing (variable annotations!).
We’d like to congratulate Ned Deily @nad <https://discuss.python.org/u/nad> on successfully driving the 3.6 series to completion as Release Manager. He’s not fully retired yet, as 3.7, which he is also managing, is still receiving security patches until June 2023.
<https://discuss.python.org/t/python-3-10-2-3-9-10-and-3-11-0a4-are-now-avai…>We hope you enjoy the new releases
Your friendly release team,
Pablo Galindo Salgado @pablogsal <https://discuss.python.org/u/pablogsal>
Łukasz Langa @ambv <https://discuss.python.org/u/ambv>
Hi All,
On behalf of the NumPy team, I'm pleased to announce the release of NumPy
1.22.1. NumPy 1.22.1 fixes several bugs discovered after the 1.22.0
release. Notable fixes are:
- Fix for f2PY docstring problems (SciPy)
- Fix for reduction type problems (AstroPy)
- Fixes for various typing bugs.
The Python versions supported in this release are 3.8-3.10. Wheels can be
downloaded from PyPI <https://pypi.org/project/numpy/1.22.1>; source
archives, release notes, and wheel hashes are available on Github
<https://github.com/numpy/numpy/releases/tag/v1.22.1>. Linux users will
need pip >= 0.19.3 in order to install the manylinux2014 wheels. A recent
version of pip is needed to install the universal2 macos wheels.
*Contributors*
A total of 14 people contributed to this release. People with a "+" by
their
names contributed a patch for the first time.
- Arryan Singh
- Bas van Beek
- Charles Harris
- Denis Laxalde
- Isuru Fernando
- Kevin Sheppard
- Matthew Barber
- Matti Picus
- Melissa Weber Mendonça
- Mukulika Pahari
- Omid Rajaei +
- Pearu Peterson
- Ralf Gommers
- Sebastian Berg
*Pull requests merged*
A total of 20 pull requests were merged for this release.
- #20702: MAINT, DOC: Post 1.22.0 release fixes.
- #20703: DOC, BUG: Use pngs instead of svgs.
- #20704: DOC: Fixed the link on user-guide landing page
- #20714: BUG: Restore vc141 support
- #20724: BUG: Fix array dimensions solver for multidimensional
arguments...
- #20725: TYP: change type annotation for ``__array_namespace__`` to
ModuleType
- #20726: TYP, MAINT: Allow ``ndindex`` to accept integer tuples
- #20757: BUG: Relax dtype identity check in reductions
- #20763: TYP: Allow time manipulation functions to accept ``date`` and
``timedelta``...
- #20768: TYP: Relax the type of ``ndarray.__array_finalize__``
- #20795: MAINT: Raise RuntimeError if setuptools version is too recent.
- #20796: BUG, DOC: Fixes SciPy docs build warnings
- #20797: DOC: fix OpenBLAS version in release note
- #20798: PERF: Optimize array check for bounded 0,1 values
- #20805: BUG: Fix that reduce-likes honor out always (and live in the...
- #20806: BUG: ``array_api.argsort(descending=True)`` respects
relative...
- #20807: BUG: Allow integer inputs for pow-related functions in
``array_api``
- #20814: DOC: Refer to NumPy, not pandas, in main page
- #20815: DOC: Update Copyright to 2022 [License]
- #20819: BUG: Return correctly shaped inverse indices in array_api
set...
Cheers,
Charles Harris
Hi All,
On behalf of the NumPy team, I'm pleased to announce the release of NumPy
1.22.0. NumPy 1.22.0 is a big release featuring the work of 153
contributors spread over 609 pull requests. There have been many
improvements,
highlights are:
- Annotations of the main namespace are essentially complete. Upstream
is a moving target, so there will likely be further improvements, but the
major work is done. This is probably the most user visible enhancement in
this release.
- A preliminary version of the proposed Array-API is provided. This is a
step in creating a standard collection of functions that can be used across
applications such as CuPy and JAX.
- NumPy now has a DLPack backend. DLPack provides a common interchange
format for array (tensor) data.
- New methods for `quantile`, `percentile`, and related functions. The
new methods provide a complete set of the methods commonly found in the
literature.
- A new configurable allocator for use by downstream projects.
These are in addition to the ongoing work to provide SIMD support for
commonly used functions, improvements to F2PY, and better documentation.
The Python versions supported in this release are 3.8-3.10, Python 3.7 has
been dropped. Note that 32 bit wheels are only provided for Python 3.8 and
3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora,
and other Linux distributions dropping 32 bit support. All 64 bit wheels
are also linked with 64 bit integer OpenBLAS, which should fix the
occasional problems encountered by folks using truly huge arrays. Wheels
can be downloaded from PyPI <https://pypi.org/project/numpy/1.22.0/>; source
archives, release notes, and wheel hashes are available on Github
<https://github.com/numpy/numpy/releases/tag/v1.22.0>. Linux users will
need pip >= 0.19.3 in order to install the manylinux2014 wheels. A recent
version of pip is needed to install the universal2 macos wheels.
*Contributors*
A total of 153 people contributed to this release. People with a "+" by
their
names contributed a patch for the first time.
- @DWesl
- @Illviljan
- @h-vetinari
- @yan-wyb +
- Aaron Meurer
- Abel Aoun +
- Adrian Gao +
- Ahmet Can Solak +
- Ajay DS +
- Alban Colley +
- Alberto Rubiales +
- Alessia Marcolini +
- Amit Kumar +
- Andrei Batomunkuev +
- Andrew Watson +
- Anirudh Dagar +
- Ankit Dwivedi +
- Antony Lee
- Arfy Slowy +
- Arryan Singh +
- Arun Palaniappen +
- Arushi Sharma +
- Bas van Beek
- Brent Brewington +
- Carl Johnsen +
- Carl Michal +
- Charles Harris
- Chiara Marmo
- Chris Fu (傅立业) +
- Christoph Buchner +
- Christoph Reiter +
- Chunlin Fang
- Clément Robert +
- Constanza Fierro
- Damien Caliste
- Daniel Ching
- David Badnar +
- David Cortes +
- David Okpare +
- Derek Huang +
- Developer-Ecosystem-Engineering +
- Dima Pasechnik
- Dimitri Papadopoulos +
- Dmitriy Fishman +
- Eero Vaher +
- Elias Koromilas +
- Eliaz Bobadilla +
- Elisha Hollander +
- Eric Wieser
- Eskild Eriksen +
- Evan Miller +
- Fayas Noushad +
- Gagandeep Singh +
- Ganesh Kathiresan
- Ghiles Meddour +
- Greg Lucas
- Gregory R. Lee
- Guo Shuai +
- Gwyn Ciesla +
- Hameer Abbasi
- Hector Martin +
- Henry Schreiner +
- Himanshu +
- Hood Chatham +
- Hugo Defois +
- Hugo van Kemenade
- I-Shen Leong +
- Imen Rajhi +
- Irina Maria Mocan +
- Irit Katriel +
- Isuru Fernando
- Jakob Jakobson
- Jerry Morrison +
- Jessi J Zhao +
- Joe Marshall +
- Johan von Forstner +
- Jonas I. Liechti +
- Jonathan Reichelt Gjertsen +
- Joshua Himmens +
- Jérome Eertmans
- Jérôme Kieffer +
- KIU Shueng Chuan +
- Kazuki Sakamoto +
- Kenichi Maehashi
- Kenny Huynh +
- Kent R. Spillner +
- Kevin Granados +
- Kevin Modzelewski +
- Kevin Sheppard
- Lalit Musmade +
- Malik Idrees Hasan Khan +
- Marco Aurelio da Costa +
- Margret Pax +
- Mars Lee +
- Marten van Kerkwijk
- Matthew Barber +
- Matthew Brett
- Matthias Bussonnier
- Matthieu Dartiailh
- Matti Picus
- Melissa Weber Mendonça
- Michael McCann +
- Mike Jarvis +
- Mike McCann +
- Mike Toews
- Mukulika Pahari
- Nick Pope +
- Nick Wogan +
- Niels Dunnewind +
- Niko Savola +
- Nikola Forró
- Niyas Sait +
- Pamphile ROY
- Paul Ganssle +
- Pauli Virtanen
- Pearu Peterson
- Peter Hawkins +
- Peter Tillema +
- Prathmesh Shirsat +
- Raghuveer Devulapalli
- Ralf Gommers
- Robert Kern
- Rohit Goswami +
- Ronan Lamy
- Ross Barnowski
- Roy Jacobson +
- Samyak S Sarnayak +
- Sayantika Banik +
- Sayed Adel
- Sebastian Berg
- Sebastian Schleehauf +
- Serge Guelton
- Shriraj Hegde +
- Shubham Gupta +
- Sista Seetaram +
- Stefan van der Walt
- Stephannie Jimenez Gacha +
- Tania Allard
- Theodoros Nikolaou +
- Thomas Green +
- Thomas J. Fan
- Thomas Li +
- Tim Hoffmann
- Tom Tan +
- Tyler Reddy
- Vijay Arora +
- Vinith Kishore +
- Warren Weckesser
- Yang Hau
- Yashasvi Misra
- Yuval Ofek +
- Zac Hatfield-Dodds
- Zhang Na +
Cheers,
Charles Harris
I'm happy to announce the release of Pygments 2.11. Pygments is a
generic syntax highlighter written in Python.
Pygments 2.11 provides ten new lexers and various improvements to
existing lexers. Please have a look at the changelog
<https://pygments.org/docs/changelog/>.
Report bugs and feature requests in the issue tracker:
<https://github.com/pygments/pygments/issues>. Thanks go to all the
contributors of these lexers, and to all those who reported bugs and
waited very patiently for this release.
Download it from <https://pypi.org/project/Pygments/>, or look at
the demonstration at <https://pygments.org/demo/>.
Enjoy,
Matthäus
Hello all,
I'm glad to announce the release of psutil 5.9.0:
https://github.com/giampaolo/psutil
About
=====
psutil (process and system utilities) is a cross-platform library for
retrieving information on running processes and system utilization (CPU,
memory, disks, network) in Python. It is useful mainly for system
monitoring, profiling and limiting process resources and management of
running processes. It implements many functionalities offered by command
line tools such as: ps, top, lsof, netstat, ifconfig, who, df, kill, free,
nice, ionice, iostat, iotop, uptime, pidof, tty, taskset, pmap. It
currently supports Linux, Windows, macOS, Sun Solaris, FreeBSD, OpenBSD,
NetBSD and AIX, both 32-bit and 64-bit architectures. Supported Python
versions are 2.6, 2.7 and 3.4+. PyPy is also known to work.
What's new
==========
2021-12-29
Enhancements
1851, [Linux]: cpu_freq() is slow on systems with many CPUs. Read current
frequency values for all CPUs from /proc/cpuinfo instead of opening many
files in /sys fs. (patch by marxin)
1992: NoSuchProcess message now specifies if the PID has been reused.
1992: error classes (NoSuchProcess, AccessDenied, etc.) now have a better
formatted and separated __repr__ and __str__ implementations.
1996, [BSD]: add support for MidnightBSD. (patch by Saeed Rasooli)
1999, [Linux]: disk_partitions(): convert /dev/root device (an alias used
on some Linux distros) to real root device path.
2005: PSUTIL_DEBUG mode now prints file name and line number of the debug
messages coming from C extension modules.
2042: rewrite HISTORY.rst to use hyperlinks pointing to psutil API doc.
Bug fixes
1456, [macOS], [critical]: cpu_freq() min and max are set to 0 if can't be
determined (instead of crashing).
1512, [macOS]: sometimes Process.connections() will crash with EOPNOTSUPP
for one connection; this is now ignored.
1598, [Windows]: disk_partitions() only returns mountpoints on drives where
it first finds one.
1874, [SunOS]: swap output error due to incorrect range.
1892, [macOS]: cpu_freq() broken on Apple M1.
1901, [macOS]: different functions, especially Process.open_files() and
Process.connections(), could randomly raise AccessDenied because the
internal buffer of proc_pidinfo(PROC_PIDLISTFDS) syscall was not big
enough. We now dynamically increase the buffer size until it's big enough
instead of giving up and raising AccessDenied, which was a fallback to
avoid crashing.
1904, [Windows]: OpenProcess fails with ERROR_SUCCESS due to GetLastError()
called after sprintf(). (patch by alxchk)
1913, [Linux]: wait_procs() should catch subprocess.TimeoutExpired
exception.
1919, [Linux]: sensors_battery() can raise TypeError on PureOS.
1921, [Windows]: swap_memory() shows committed memory instead of swap.
1940, [Linux]: psutil does not handle ENAMETOOLONG when accessing process
file descriptors in procfs. (patch by Nikita Radchenko)
1948, [critical]: memoize_when_activated decorator is not thread-safe.
(patch by Xuehai Pan)
1953, [Windows], [critical]: disk_partitions() crashes due to insufficient
buffer len. (patch by MaWe2019)
1965, [Windows], [critical]: fix "Fatal Python error: deallocating None"
when calling users() multiple times.
1980, [Windows]: 32bit / WoW64 processes fails to read Process.name()
longer than 128 characters resulting in AccessDenied. This is now fixed.
(patch by PetrPospisil)
1991, [critical]: process_iter() is not thread safe and can raise TypeError
if invoked from multiple threads.
1956, [macOS]: Process.cpu_times() reports incorrect timings on M1
machines. (patch by Olivier Dormond)
2023, [Linux]: cpu_freq() return order is wrong on systems with more than 9
CPUs.
Links
=====
- Home page: https://github.com/giampaolo/psutil
- Download: https://pypi.org/project/psutil/#files
- Documentation: http://psutil.readthedocs.io
- What's new: https://github.com/giampaolo/psutil/blob/master/HISTORY.rst
Hashes
======
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--
Giampaolo - https://gmpy.dev/about
I am pleased to announce the release of SfePy 2021.4.
Description
-----------
SfePy (simple finite elements in Python) is a software for solving systems of
coupled partial differential equations by finite element methods. It is
distributed under the new BSD license.
Home page: https://sfepy.org
Mailing list: https://mail.python.org/mm3/mailman3/lists/sfepy.python.org/
Git (source) repository, issue tracker: https://github.com/sfepy/sfepy
Highlights of this release
--------------------------
- improved pyvista-based visualization script resview.py
- gallery images generated using resview.py
- homogenization tools: new parallel recovery of multiple microstructures
- new "dry water" flow example
For full release notes see [1].
Cheers,
Robert Cimrman
[1] http://docs.sfepy.org/doc/release_notes.html#id1
---
Contributors to this release in alphabetical order:
Robert Cimrman
Yves Delley
Florian Le Bourdais
Vladimir Lukes
Brylie Christopher Oxley
Tomáš Zítka
For various reasons you might want to know which Python versions are
“current”:
* provide a list of pyXY targets to tox
* remove a no longer supported version of Python from the .whl files
you generate to upload to PyPI
* determine which ‘Programming Language :: Python ::’ classifiers to
include in your package information
* check if you have the latest micro version of a Python installed on
all of your servers
extracting this kind of information from various PEPs (that often have
slightly different formats), python.org and other web pages, is
cumbersome. This package both provides a commandline utility
python_release_info that you can use in scripts, makefiles, etc. and a
programmatic interface to get to release information.
The release information is retrieved from the internet and can be
updated e.g. only a daily basis, without having update the package
itself. A Python or shell script, can check if one or more new versions
are available for download and take action accordingly. Pre-release
information can be queried as well.
--
The release information is automatically extracted (other information,
like EOL info is not), currently for cpython only. If you are interested
in incorporating release information of specific other releases, let me
know (if possible including mailing list/website etc, at where I could
obtain the most accurate and timely information updates).
Feedback on whether pre-release information should be kept (currently
superseded when the actual .0 release is available) for a specific
project is welcome as well.
Hi everyone,
I’m happy to announce the release of attrs 21.3.0: <https://github.com/python-attrs/attrs/releases/tag/21.3.0>
attrs is the direct ancestor of – and the inspiration for – dataclasses in the standard library and remains the more powerful toolkit for creating regular classes without getting bogged down with writing identical boilerplate again and again: <https://www.attrs.org/>
Heartfelt thanks go to my generous sponsors <https://github.com/sponsors/hynek>, companies subscribing on Tidelift <https://tidelift.com/subscription/pkg/pypi-attrs>, and people who bought me a coffee on <https://ko-fi.com/the_hynek>! Support like that makes me work on FOSS on a Saturday afternoon! <3
------------------------------------------------------------------------
This is a big release in the history of attrs and finishes an arc that took way too long and also delayed this very overdue release. But it's done: import attrs that has been talked about for years[1], but fell victim to “just this one more thing” has finally landed.
From now on, modern attrs code looks like this:
from attrs import define
@define
class HelloWorld:
modern: bool = True
The define/field APIs have been around for over a year and were very popular, now the rest of the package followed suit. I'm very excited that attrs remains relevant and keeps evolving over now more than half a decade. If you're curious about some of the background, the docs now contain a short explanation and history lesson. As long as our users keep pushing us, we will keep pushing forward class generation in Python!
Big thanks to my GitHub Sponsors, Tidelift subscribers, and Ko-fi buyers that help me mustering the motivation for such long-running project!
------------------------------------------------------------------------
Since the release took so long, there's more highlights than we can enumerate here, we'd just like to point out a breaking change in the new APIs: converters now run on setting attributes by default. If this is causing problems to you, you can disable that behavior by setting @define(on_setattr=[]).
Full Changelog
Backward-incompatible Changes
- When using @define, converters are now run by default when setting an attribute on an instance -- additionally to validators. I.e. the new default is on_setattr=[attrs.setters.convert, attrs.setters.validate].
This is unfortunately a breaking change, but it was an oversight, impossible to raise a DeprecationWarning about, and it's better to fix it now while the APIs are very fresh with few users. #835, #886
- import attrs has finally landed! As of this release, you can finally import attrs using its proper name.
Not all names from the attr namespace have been transferred; most notably attr.s and attr.ib are missing. See attrs.define and attrs.field if you haven't seen our next-generation APIs yet. A more elaborate explanation can be found On The Core API Names
This feature is at least for one release provisional. We don't plan on changing anything, but such a big change is unlikely to go perfectly on the first strike.
The API docs have been mostly updated, but it will be an ongoing effort to change everything to the new APIs. Please note that we have not moved -- or even removed -- anything from attr!
Please do report any bugs or documentation inconsistencies! #887
Changes
- attr.asdict(retain_collection_types=False) (default) dumps collection-esque keys as tuples. #646, #888
- __match_args__ are now generated to support Python 3.10's Structural Pattern Matching. This can be controlled by the match_args argument to the class decorators on Python 3.10 and later. On older versions, it is never added and the argument is ignored. #815
- If the class-level on_setattr is set to attrs.setters.validate (default in @define and @mutable) but no field defines a validator, pretend that it's not set. #817
- The generated __repr__ is significantly faster on Pythons with f-strings. #819
- Attributes transformed via field_transformer are wrapped with AttrsClass again. #824
- Generated source code is now cached more efficiently for identical classes. #828
- Added attrs.converters.to_bool(). #830
- attrs.resolve_types() now resolves types of subclasses after the parents are resolved. #842 #843
- Added new validators: lt(val) (< val), le(va) (≤ val), ge(val) (≥ val), gt(val) (> val), and maxlen(n). #845
- attrs classes are now fully compatible with cloudpickle (no need to disable repr anymore). #857
- Added new context manager attrs.validators.disabled() and functions attrs.validators.(set|get)_disabled(). They deprecate attrs.(set|get)_run_validators(). All functions are interoperable and modify the same internal state. They are not – and never were – thread-safe, though. #859
- attrs.validators.matches_re() now accepts pre-compiled regular expressions in addition to pattern strings. #877
[1] I have an issue from 2018 that I wanted to "come back the moment this lands".
[re-posting this as the original was accidentally discarded]
Greetings lists,
I have started a newspaper (not newsletter) focused
on interesting reads on Python mailing lists. Don't tag
on the fact that holiday seasons are the worst times for
launch according to marketing folks, I started this to note
down interesting mails. This might also be a great way to
bring mailing list gems to a wider readership. So, here's
the url https://pyherald.com/
Kind Regards,
Abdur-Rahmaan Janhangeer
about | blog
github
Mauritius
On behalf of the Nikola team, I am pleased to announce the immediate
availability of Nikola v8.2.0. This release includes some new features
as well as a bunch of bugfixes.
What is Nikola?
===============
Nikola is a static site and blog generator, written in Python.
It can use Mako and Jinja2 templates, and input in many popular markup
formats, such as reStructuredText and Markdown — and can even turn
Jupyter Notebooks into blog posts! It also supports image galleries,
and is multilingual. Nikola is flexible, and page builds are extremely
fast, courtesy of doit (which is rebuilding only what has been changed).
Find out more at the website: https://getnikola.com/
Downloads
=========
Install using `pip install Nikola`.
Changes
=======
Features
--------
* Add ``category_titles``, ``category_descriptions``, ``tag_titles``,
``tag_descriptions`` to default context of tags page (Issue #3584)
* Add Maori translation
* Add Occitan translation
* New ``auto_command_starting`` signal when ``nikola auto`` is
starting
* ``typogrify_custom`` filter adds a default value for
``typogrify_filters`` so that ``ignore_tags`` can be specified
as the only option.
* The default ``ignore_tags`` are appended to the user-supplied
``ignore_tags`` added via ``typogrify_custom``.
* Allow adding comment systems from a plugin (Issue #3544)
* New ``CommentSystem`` plugin category (Issue #3544)
Bugfixes
--------
* Fix changes to ``INDEX_READ_MORE_LINK`` and ``FEED_READ_MORE_LINK``
not triggering rebuilds
* Make ``CATEGORY_TITLES``, ``CATEGORY_DESCRIPTIONS``, ``TAG_TITLES``,
``TAG_DESCRIPTIONS`` translatable settings for consistency (Issue #3584)
* Fix bug with posts after the first one appearing shifted due to a
``<div>`` closed too early (Issue #3573, #3564)
* Fix support for files outside of site root directory on Windows
* Support passing ``--backend`` and ``--db-file`` to ``nikola auto``
* Support blank values in certain WordPress-imported structures
(Issue #3535)
* Typogrify ignores ``div`` elements with ``.math`` CSS class.
(Issue #3512)
* Adjust panorama aspect ratio to 3:1 and document behaviour.
--
Chris Warrick <https://chriswarrick.com/>
PGP: 5EAAEA16
