pytest-3.0.6
============
pytest 3.0.6 has just been released to PyPI.
This is a bug-fix release, being a drop-in replacement. To upgrade::
pip install --upgrade pytest
The full changelog is available at
http://doc.pytest.org/en/latest/changelog.html.
Thanks to all who contributed to this release, among them:
* Andreas Pelme
* Bruno Oliveira
* Dmitry Malinovsky
* Eli Boyarski
* Jakub Wilk
* Jeff Widman
* Loïc Estève
* Luke Murphy
* Miro Hrončok
* Oscar Hellström
* Peter Heatwole
* Philippe Ombredanne
* Ronny Pfannschmidt
* Rutger Prins
* Stefan Scherfke
Happy testing,
The pytest Development Team
All,
I have just moved the cx_Freeze repository from BitBucket to GitHub. The
new location is
https://github.com/anthony-tuininga/cx_Freeze
If anyone has a GitHub account and wishes their contributions to be
recognised, please send me an e-mail with your GitHub account and I will
update the link.
The issues have been migrated from BitBucket to GitHub.
The web page is now using GitHub pages and can be found here. Older links
will be updated over the coming days with forwarding links.
https://anthony-tuininga.github.io/cx_Freeze/
Anthony
On behalf of the Python development community and the Python 3.4 and
Python 3.5 release teams, I'm delighted to announce the availability of
Python 3.4.6 and Python 3.5.3.
Python 3.4 is now in "security fixes only" mode. This is the final
stage of support for Python 3.4. Python 3.4 now only receives security
fixes, not bug fixes, and Python 3.4 releases are source code only--no
more official binary installers will be produced.
Python 3.5 is still in active "bug fix" mode. Python 3.5.3 contains
many incremental improvements over Python 3.5.2.
There were literally no code changes between rc1 and final for either
release. The only change--apart from the necessary updates from "rc1"
to final--was a single copyright notice update for one of the OS X
".plist" property list files in 3.5.3 final.
You can find Python 3.5.3 here:
https://www.python.org/downloads/release/python-353/
And you can find Python 3.4.6 here:
https://www.python.org/downloads/release/python-346/
Best wishes,
//arry/
[This announcement is in German since it targets a local user group
meeting in Düsseldorf, Germany]
________________________________________________________________________
ANKÜNDIGUNG
Python Meeting Düsseldorf
http://pyddf.de/
Ein Treffen von Python Enthusiasten und Interessierten
in ungezwungener Atmosphäre.
Mittwoch, 18.01.2017, 18:00 Uhr
Raum 1, 2.OG im Bürgerhaus Stadtteilzentrum Bilk
Düsseldorfer Arcaden, Bachstr. 145, 40217 Düsseldorf
Diese Nachricht ist auch online verfügbar:
http://www.egenix.com/company/news/Python-Meeting-Duesseldorf-2017-01-18
________________________________________________________________________
NEUIGKEITEN
* Bereits angemeldete Vorträge:
Charlie Clark
"Kurze Einführung in openpyxl und Pandas"
Jochen Wersdörfer
"CookieCutter"
Marc-Andre Lemburg
"Optimierung in Python mit PuLP"
Weitere Vorträge können gerne noch angemeldet werden: info(a)pyddf.de
* Startzeit und Ort:
Wir treffen uns um 18:00 Uhr im Bürgerhaus in den Düsseldorfer
Arcaden.
Das Bürgerhaus teilt sich den Eingang mit dem Schwimmbad und
befindet sich an der Seite der Tiefgarageneinfahrt der Düsseldorfer
Arcaden.
Über dem Eingang steht ein großes "Schwimm' in Bilk" Logo. Hinter
der Tür direkt links zu den zwei Aufzügen, dann in den 2. Stock
hochfahren. Der Eingang zum Raum 1 liegt direkt links, wenn man aus
dem Aufzug kommt.
Google Street View: http://bit.ly/11sCfiw
________________________________________________________________________
EINLEITUNG
Das Python Meeting Düsseldorf ist eine regelmäßige Veranstaltung in
Düsseldorf, die sich an Python Begeisterte aus der Region wendet:
* http://pyddf.de/
Einen guten Überblick über die Vorträge bietet unser YouTube-Kanal,
auf dem wir die Vorträge nach den Meetings veröffentlichen:
* http://www.youtube.com/pyddf/
Veranstaltet wird das Meeting von der eGenix.com GmbH, Langenfeld,
in Zusammenarbeit mit Clark Consulting & Research, Düsseldorf:
* http://www.egenix.com/
* http://www.clark-consulting.eu/
________________________________________________________________________
PROGRAMM
Das Python Meeting Düsseldorf nutzt eine Mischung aus (Lightning)
Talks und offener Diskussion.
Vorträge können vorher angemeldet werden, oder auch spontan während
des Treffens eingebracht werden. Ein Beamer mit XGA Auflösung
steht zur Verfügung.
(Lightning) Talk Anmeldung bitte formlos per EMail an info(a)pyddf.de
________________________________________________________________________
KOSTENBETEILIGUNG
Das Python Meeting Düsseldorf wird von Python Nutzern für Python
Nutzer veranstaltet. Um die Kosten zumindest teilweise zu
refinanzieren, bitten wir die Teilnehmer um einen Beitrag in Höhe von
EUR 10,00 inkl. 19% Mwst, Schüler und Studenten zahlen EUR 5,00
inkl. 19% Mwst.
Wir möchten alle Teilnehmer bitten, den Betrag in bar mitzubringen.
________________________________________________________________________
ANMELDUNG
Da wir nur für ca. 20 Personen Sitzplätze haben, möchten wir
bitten, sich per EMail anzumelden. Damit wird keine Verpflichtung
eingegangen. Es erleichtert uns allerdings die Planung.
Meeting Anmeldung bitte formlos per EMail an info(a)pyddf.de
________________________________________________________________________
WEITERE INFORMATIONEN
Weitere Informationen finden Sie auf der Webseite des Meetings:
http://pyddf.de/
Mit freundlichen Grüßen,
--
Marc-Andre Lemburg
eGenix.com
Professional Python Services directly from the Experts (#1, Jan 16 2017)
>>> Python Projects, Coaching and Consulting ... http://www.egenix.com/
>>> Python Database Interfaces ... http://products.egenix.com/
>>> Plone/Zope Database Interfaces ... http://zope.egenix.com/
________________________________________________________________________
::: We implement business ideas - efficiently in both time and costs :::
eGenix.com Software, Skills and Services GmbH Pastor-Loeh-Str.48
D-40764 Langenfeld, Germany. CEO Dipl.-Math. Marc-Andre Lemburg
Registered at Amtsgericht Duesseldorf: HRB 46611
http://www.egenix.com/company/contact/http://www.malemburg.com/
Hi All,
I'm pleased to announce the NumPy 1.12.0 release. This release supports
Python 2.7 and 3.4-3.6. Wheels for all supported Python versions may be
downloaded from PiPY
<https://pypi.python.org/pypi?%3Aaction=pkg_edit&name=numpy>, the tarball
and zip files may be downloaded from Github
<https://github.com/numpy/numpy/releases/tag/v1.12.0>. The release notes
and files hashes may also be found at Github
<https://github.com/numpy/numpy/releases/tag/v1.12.0> .
NumPy 1.12.0rc 2 is the result of 418 pull requests submitted by 139
contributors and comprises a large number of fixes and improvements. Among
the many improvements it is difficult to pick out just a few as standing
above the others, but the following may be of particular interest or
indicate areas likely to have future consequences.
* Order of operations in ``np.einsum`` can now be optimized for large speed
improvements.
* New ``signature`` argument to ``np.vectorize`` for vectorizing with core
dimensions.
* The ``keepdims`` argument was added to many functions.
* New context manager for testing warnings
* Support for BLIS in numpy.distutils
* Much improved support for PyPy (not yet finished)
Enjoy,
Chuck
Hello,
on behalf of the PyInstaller development team I'm happy to announce
PyInstaller 3.2.1, the long awaited bug-fix release
http://www.pyinstaller.org
Thanks for all those who contributed questions, bug-reports or
pull-requests.
=== What it is ===
PyInstaller bundles a Python application and all its dependencies into a
single package. The user can run the packaged app without installing a
Python interpreter or any modules.
PyInstaller reads a Python script written by you. It analyzes your code to
discover every other module and library your script needs in order to
execute.
Then it collects copies of all those files – including the active Python
interpreter! – and puts them with your script in a single folder, or
optionally in a single executable file.
PyInstaller is tested against Windows, Mac OS X, and Linux. However, it
is not a cross-compiler: to make a Windows app you run PyInstaller in
Windows; to make a Linux app you run it in Linux, etc. PyInstaller has
been used successfully with AIX, Solaris, and FreeBSD, but is not tested
against them.
=== Installation ===
PyInstaller can be installed from PyPi using
pip install pyinstaller
=== Changes ===
- Many bug fixes and internal enhancements, the most important ones are:
- (Windows) Fix additional dependency on the msvcrt10.dll (#1974)
- (OS X) PyQt5 packaging issues on MacOS (#1874)
- (Bootloader) fix segfaults (#2176)
- Some new, fixed or enhanced hooks.
The full changelog for this release can be found at:
https://pyinstaller.readthedocs.io/en/v3.2.1/CHANGES.html
=== Feedback ===
We're eager to listen to your feedback on using PyInstaller:
Bug tracker: https://github.com/pyinstaller/pyinstaller/issues
Mailing list: http://groups.google.com/group/PyInstaller
--
Schönen Gruß
Hartmut Goebel
Dipl.-Informatiker (univ), CISSP, CSSLP, ISO 27001 Lead Implementer
Information Security Management, Security Governance, Secure Software
Development
Goebel Consult, Landshut
http://www.goebel-consult.de
Blog:
http://www.goebel-consult.de/blog/bewertung-pgp-verschlusselung-bei-web.de-…
Kolumne:
http://www.cissp-gefluester.de/2012-01-in-die-cloud-in-die-cloud-aber-wo-so…
On behalf of the Nikola team, I am pleased to announce the immediate
availability of Nikola v7.8.3. This is an emergency bugfix release,
which fixes a bug that prevented ``nikola new_page`` from working.
There has also been a minor change to post sorting order (won’t affect
most sites). The wheel packages have also been fixed (they now exist
for Python 2 and 3, with correct doit versioning).
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 (IPython) 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` or download tarballs on GitHub and PyPI:
https://github.com/getnikola/nikola/releases/tag/v7.8.3https://pypi.python.org/pypi/Nikola/7.8.3
Changes
=======
Features
--------
* Sort posts chronologically with one unified function (easier to
change). (Issue #2627)
* Sort posts in the following order (most important last): source path
(A-Z), title (A-Z), date (reverse chronological order), priority
meta number (descending). (Issue #2627)
Bugfixes
--------
* Fix a bug that prevents ``nikola new_page`` from working (Issue #2631)
Hi All,
I'd like to announce prophy 1.0.0, the serialization framework.
Like protobuf, thrift, capnproto, flatbuffers or SBE, it comes with:
- protocol definition language,
- wire-format specification,
- compiler which generates codecs,
- runtime libraries for codecs.
Codecs come in Python and C++ languages.
Protocol/wire-format follows C language struct with natural alignment,
possibly with flexible arrays at the end, so performance of
encoding/decoding is expected to be rather good, although protocol
is quite limited. Embedded systems is where such resource effective
protocol could be helpful.
License: MIT
Code: https://github.com/aurzenligl/prophy
Docs: http://prophy.readthedocs.io/en/latest/
Pypi: https://pypi.python.org/pypi/prophy
Issues: https://github.com/aurzenligl/prophy/issues
I'm open to feedback and suggestions, which I'd happily receive via
mail or github issues.
Best Regards,
Krzysztof Laskowski
Hi,
We've just released Wing IDE 6.0.1 which improves remote host
configuration, adds remote development support for 32-bit Linux and
older 64-bit Linux systems, fixes stability problems affecting some
users, and makes many other improvements. For details on this release,
see the change log at http://wingware.com/pub/wingide/6.0.1/CHANGELOG.txt
Wing IDE 6 is the latest major release of Wingware's Python IDE that
adds many new features, introduces a new annual license option, and
makes some changes to the product line.
New Features
* Improved Multiple Selections: Quickly add selections and edit them
all at once
* Easy Remote Development: Work seamlessly on remote Linux, OS X, and
Raspberry Pi systems
* Debugging in the Python Shell: Reach breakpoints and exceptions in
(and from) the Python Shell
* Recursive Debugging: Debug code invoked in the context of stack
frames that are already being debugged
* PEP 484 and PEP 526 Type Hinting: Inform Wing's static analysis
engine of types it cannot infer
* Support for Python 3.6 and Stackless 3.4: Use async and other new
language features
* Optimized debugger: Run faster, particularly in multi-process and
multi-threaded code
* Support for OS X full screen mode: Zoom to a virtual screen, with
auto-hiding menu bar
* Added a new One Dark color palette: Enjoy the best dark display
style yet
* Updated French and German localizations: Thanks to Jean Sanchez,
Laurent Fasnacht, and Christoph Heitkamp
For a much more detailed overview of new features see the release notice
at http://wingware.com/news/2017-01-10
Annual Use License Option
Wing 6 adds the option of purchasing a lower-cost expiring annual
license for Wing IDE Pro. An annual license includes access to all
available Wing IDE versions while it is valid, and then ceases to
function if it is now renewed. Pricing for annual licenses is US$
179/user for Commercial Use and US$ 69/user for Non-Commercial Use.
Perpetual licenses for Wing IDE will continue to be available at the
same pricing.
The cost of extending Support+Upgrades subscriptions on Non-Commercial
Use perpetual licenses for Wing IDE Pro has also been dropped from US$
89 to US$ 39 per user.
For details, see https://wingware.com/store/purchase
Wing Personal is Free
Wing IDE Personal is now free and no longer requires a license to run.
It now also includes the Source Browser, PyLint, and OS Commands
tools, and supports the scripting API and Perspectives.
However, Wing Personal does not include Wing Pro's advanced editing,
debugging, testing and code management features, such as remote host
access, refactoring, find uses, version control, unit testing,
interactive debug probe, multi-process and child process debugging, move
program counter, conditional breakpoints, debug watch,
framework-specific support (for matplotlib, Django, and others), find
symbol in project, and other features.
Links
Release notice: http://wingware.com/news/2017-01-10
Free trial: http://wingware.com/wingide/trial
Downloads: http://wingware.com/downloads
Feature list: http://wingware.com/wingide/features
Buy: http://wingware.com/store/purchase
Upgrade: https://wingware.com/store/upgrade
Questions? Don't hesitate to email us at support(a)wingware.com.
Thanks,
--
Stephan Deibel
Wingware | Python IDE
The Intelligent Development Environment for Python Programmers
wingware.com
AnacondaCON February 7-9, Austin Texas
http://anacondacon17.io
3-day Anaconda Open Data Science User Conference celebrating a strong
Python success story.
Hello everyone,
It has been 5 years since Peter Wang and I started Continuum Analytics with
the objective of expanding the commercial adoption of Python for
data-science, quantitative, computational, and numerical computing. Thanks
to the amazing community and my colleagues at Continuum we've seen that
objective come to fruition and company after company is choosing Python as
their forward looking numerical computing modeling and data-science
language.
We created Anaconda to make it easy for individuals and organizations to
adopt the rich suite of tools and libraries that are commonly used by
scientists, engineers, and mathematicians. As Anaconda has lowered the
barrier for people to adopt the open data science software stack we've seen
a significant increase in use by people who previously were unlikely to
move beyond Excel, and organizations who are recognizing the kind of value
that a strategic investment in Python can bring them.
Nearly 8 million people have downloaded Anaconda this year many of whom are
using Python for the first time (and choosing Python 3.X). It's been a
dream come true to see all of our early efforts around SciPy, NumPy, and
Python come to fruition in the enterprise. It's been an incredible
journey and is something the Python community can and should celebrate.
With that background I am excited to announce AnacondaCON, a 3 day Anaconda
user conference happening February 7-9 in Austin Texas. We currently have
2-for-1 pricing until January 16th (2 tickets for $999). We have an amazing
line up of speakers from industry, government, academia and, of course,
Continuum. https://anacondacon17.io/speakers/
Peter and I will both be speaking there. I will be speaking about the
future of open data science including what community-oriented open-source
technologies we specifically will be working on and contributing to that
continue the success of numpy, scipy, pandas, conda, numba, bokeh, dask,
spyder, holoviews, phosphorjs, jupyter, and more.
I will also be discussing some ideas we are pursuing on the future of array
computing for Python 3.X and how to build a substructure for vector
computing that integrates better with the broader Python ecosystem and is
inspired by and can use the typing hints becoming popular in Python 3.X.
Python's future in technical computing and data science has never been
brighter and AnacondaCON is a great opportunity to connect with an
interesting segment of this larger community and catch up with others
interested in enterprise adoption of Python for data science and numerical
/ technical computing.
I really hope to see you there.
Best,
Travis Oliphant