Introducing NestedText, a nice alternative to JSON, YAML, TOML

2020-10-04 Thread python
NestedText is a file format for holding data that is to be entered, edited, or 
viewed by people. It allows data to be organized into a nested collection of 
dictionaries, lists, and strings.  Similar to YAML, but much simpler. It pairs 
nicely with voluptuous to create a simple and powerful solution for 
configuration files.
 

NestedText is a nice alternative to JSON, YAML, and TOML.

Documentation: https://nestedtext.org
Install: pip install nestedtext
Support: https://github.com/KenKundert/nestedtext/issues
License: MIT

Give it a try.
-Ken (nestedt...@shalmirane.com)

https://nestedtext.org";>NestedText 1.0A Human Friendly Data 
Format. (03-Oct-20)
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Python training in Colorado, June 2007

2007-04-20 Thread Python Training
Python author and trainer Mark Lutz will be teaching another
3-day Python class at a conference center in Longmont, Colorado,
on June 11-13, 2007.

This is a public training session open to individual enrollments, 
and covers the same topics as the 3-day onsite sessions that Mark
teaches, with hands-on lab work.

For more information on this, and our other 2007 public classes,
please visit this web page:

http://home.earthlink.net/~python-training/longmont-public-classes.htm

Thanks for your interest.
--Python Training Services

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Python training in Colorado, October 15-17

2008-09-09 Thread Python Training
Python author and trainer Mark Lutz will be teaching another
3-day Python class at a conference center in Longmont, Colorado,
on October 15-17, 2008.

This is a public training session open to individual enrollments,
and covers the same topics as the 3-day onsite sessions that Mark
teaches, with hands-on lab work.  The class provides an in-depth
introduction to Python and its common applications, and parallels
the instructor's popular Python books.

For more information on this session, please visit its web page:

http://home.earthlink.net/~python-training/longmont-public-classes.htm

For additional background on the class itself, see our home page:

http://home.earthlink.net/~python-training

Thanks for your interest.
--Python Training Services

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2009 Python class schedule

2008-11-06 Thread Python Training
A page describing our 2009 Python class offerings has just
been posted here:

http://home.earthlink.net/~python-training/2009-public-classes.htm

The first class in 2009 will be held January 27-30, and is
now open for enrollments.  

These are public classes, open to individuals.  They provide
in-depth and hands-on introductions to Python and its common 
applications, and are based upon the instructor's popular 
Python books.

Thanks for your interest,
--Mark Lutz at Python Training

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Python training in Colorado, January 27-30

2009-01-05 Thread Python Training
Python author and trainer Mark Lutz will be teaching a 4-day
Python class on January 27-30, in Longmont, Colorado.

This is a public training session open to individual enrollments,
and covers the same topics and hands-on lab work as the onsite
sessions that Mark teaches.  The class provides an in-depth
introduction to both Python and its common applications, and 
parallels the instructor's popular Python books.

For more information on this session, please visit its web page:

http://home.earthlink.net/~python-training/2009-public-classes.htm

For additional background on the class itself, see our home page:

http://home.earthlink.net/~python-training

Thanks for your interest,
--Python Training Services

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Support the Python Software Foundation:
http://www.python.org/psf/donations.html


Python training in Colorado, April 27-29

2009-03-21 Thread Python Training
Python author and trainer Mark Lutz will be teaching a 3-day
Python class on April 27-29, in Longmont, Colorado.

This is a public training session open to individual enrollments,
and covers the same topics and hands-on lab work as the onsite
sessions that Mark teaches.  The class provides an in-depth
introduction to both Python and its common applications, and 
parallels the instructor's popular Python books.

For more information on this session, please visit its web page:

http://home.earthlink.net/~python-training/2009-public-classes.htm

For additional background on the class itself, see our home page:

http://home.earthlink.net/~python-training

Thanks for your interest,
--Python Training Services

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Pythons in Florida (training next month)

2009-09-21 Thread Python Training
Don't miss your chance to attend our first Florida
Python training session next month.  This 3-day class
is being held October 20-22, in Sarasota, Florida.
It is open to both individual and group enrollments.

For more details on the class, as well as registration
instructions, please visit the class web page:

http://home.earthlink.net/~python-training/2009-public-classes.htm

If you are unable to attend in October, our next 
Sarasota class is already scheduled for January 19-21.

Thanks, and we hope to see you in sunny Florida soon.

--Mark Lutz at Python Training Services


*Prerequisite reading:
http://edition.cnn.com/2009/US/03/30/python.patrol/index.html

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Python training in Florida, January 19-21

2009-12-17 Thread Python Training
Don't miss your chance to attend our upcoming Florida
Python training class next month.  This 3-day public
class is being held January 19-21, in Sarasota, Florida.
It is open to both individual and group enrollments.

For more details on the class, as well as registration
instructions, please visit the class web page:

http://home.earthlink.net/~python-training/2010-public-classes.html

If you are unable to attend in January, our next 
Sarasota class is already scheduled for April 6-8.

Thanks, and we hope to see you at a Python class in
sunny and warm Florida soon.

--Mark Lutz at Python Training Services

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ATpy 0.9.4 Release

2010-09-02 Thread Astronomical Python
We are pleased to announce the release of ATpy 0.9.4!

ATpy is a high-level Python package providing a generic Table class that
can contain data and meta-data, and includes column manipulation, row
selection, and sorting methods. In addition, read and write methods are
provided to to seamlessly read and write table data to a number of formats,
building on existing Python modules. More information and links to download
the latest version of ATpy can be found at http://atpy.sourceforge.net/

The main changes in this version are:

- support for reading and writing HDF5 files via the h5py package,
  including support for reading/writing to groups. For more information,
  see http://atpy.sourceforge.net/format_hdf5.html

- support for reading arbitrary ASCII tables via the asciitable package,
  which includes pre-defined formats such as Machine Readable Tables, RDB
  tables, and DAOPhot tables. For more information, see
  http://atpy.sourceforge.net/format_ascii.html

- reading in of large FITS tables has been sped up by a factor of 10-20x

- minor improvements and bug fixes

Bug reports and feature requests should be submitted to the Sourceforge
trackers at:

https://sourceforge.net/tracker/?group_id=259666

Please do not hesitate to let us know if you encounter any problems
with this release,

Cheers,

Thomas Robitaille and Eli Bressert
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PythonOnWheels (PoW)

2012-08-04 Thread python onwheels
Hi,

I am announcing PythonOnWheels. (short PoW)

Projectname: PythonOnWheels 
Motto: We are only on wheels but it feels like having wings ;)

A quick and easy to use generative Web framework for python.

STOP: I know what you are thinking: " What the world doen't need are more 
lawyers and python web frameworks"

And you are right. But I am announcing this mostly to get feedback from
the community. Any feedback is welcome. 

Some years ago I saw a screencast about ruby on rails and that really blew my
mind. I Searched something equivalant for python but found only micro or mega 
frameworks.
So I think there is even some space for PoW. Besides the fun I had and have 
developing it ;)
The idea is to make the developer focus on his/her App instead of the framework.

List of Features (not complete)
-
* Model View Controller
* Uses the well proven Ruby On Rails principles
** convention over configuration
** generate_model, generate_controller, generate_migration
* Scaffolding dabei
** generate_scaffold
* JQuery integration
* AJAX 
* Responsive Layout based on Twitter Bootstrap
* Lightweight - simple and easy to use
* Nose Tests
* automatically generate for you. runtest script to run them
* Database Migrations
* web app generation with batteries included:
** Session support
** basic authentication (Beta 2) 
* Runs with Apache & mod_wsgi 
* includes a ready to run simple_server
* full environment on your laptop, mac or pc


Coming for Beta 1:
-
* Observer pattern
* Validation (as a plugin)


Screencast:
-
Weblog with PythonOnWheels in 10 minutes. -> http://bit.ly/QAmoxX

Homepage:
--
http://www.pythononwheels.org

Get it on Github:
--
https://github.com/pythononwheels/pow_devel/tree/beta1

(Be sure to take the beta1 branch (as of 03.08.20120))

Prerequsites:


I did not reinvent the wheel but rely on the brilliant and proven standards 
out there
so PoW (and you) will need:

webob (pip or easy_install)
Mako (pip or easy_install)
Beaker (pip or easy_install)
SQLAlchemy (pip or easy_install)
nose (pip or easy_install)

So, that's all folks ;) 

I am really appreciating any feedback. reply to this or email to 
k...@pythononwheels.org.

best regards,
Klaas
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[ANN] 11ᵗʰ Advanced Scientific Programming in Python in Camerino, Italy, 3—8 September, 2018

2018-03-24 Thread Python School Organizers
11ᵗʰ Advanced Scientific Programming in Python
==
a Summer School by the G-Node and the University of Camerino

https://python.g-node.org

Scientists spend more and more time writing, maintaining, and debugging 
software. While techniques for doing this efficiently have evolved, only few 
scientists have been trained to use them. As a result, instead of doing their 
research, they spend far too much time writing deficient code and reinventing 
the wheel. In this course we will present a selection of advanced programming 
techniques and best practices which are standard in the industry, but 
especially tailored to the needs of a programming scientist. Lectures are 
devised to be interactive and to give the students enough time to acquire 
direct hands-on experience with the materials. Students will work in pairs 
throughout the school and will team up to practice the newly learned skills in 
a real programming project — an entertaining computer game.

We use the Python programming language for the entire course. Python works as a 
simple programming language for beginners, but more importantly, it also works 
great in scientific simulations and data analysis. We show how clean language 
design, ease of extensibility, and the great wealth of open source libraries 
for scientific computing and data visualization are driving Python to become a 
standard tool for the programming scientist.

This school is targeted at Master or PhD students and Post-docs from all areas 
of science. Competence in Python or in another language such as Java, C/C++, 
MATLAB, or Mathematica is absolutely required. Basic knowledge of Python and of 
a version control system such as git, subversion, mercurial, or bazaar is 
assumed. Participants without any prior experience with Python and/or git 
should work through the proposed introductory material before the course.

We are striving hard to get a pool of students which is international and 
gender-balanced: see how far we got in previous years 
<https://python.g-node.org/wiki/archives#stats>!

Date & Location
===
3–8 September, 2018. Camerino, Italy.

Application
===
You can apply online: https://python.g-node.org/wiki/applications
Application deadline: 23:59 UTC, 31 May, 2018. There will be no deadline 
extension, so be sure to apply on time.
Be sure to read the FAQ before applying: https://python.g-node.org/wiki/faq

Participation is for free, i.e. no fee is charged! Participants however should 
take care of travel, living, and accommodation expenses by themselves.

Program
===
• Version control with git and how to contribute to open source projects with 
GitHub
• Best practices in data visualization
• Organizing, documenting, and distributing scientific code
• Testing scientific code
• Profiling scientific code
• Advanced NumPy
• Advanced scientific Python: decorators, context managers, generators, and 
elements of object oriented programming
• Writing parallel applications in Python
• Speeding up scientific code with Cython and numba
• Memory-bound computations and the memory hierarchy
• Programming in teams

Also see the detailed day-by-day schedule: 
https://python.g-node.org/wiki/schedule

Faculty
===
• Ashwin Trikuta Srinath, Cyberinfrastructure Technology Integration, Clemson 
University, SC USA
• Jenni Rinker, Department of Wind Energy, Technical University of Denmark, 
Roskilde Denmark
• Juan Nunez-Iglesias, Melbourne Bioinformatics, University of Melbourne 
Australia
• Nicolas P. Rougier, Inria Bordeaux Sud-Ouest, Institute of Neurodegenerative 
Disease, University of Bordeaux France
• Pietro Berkes, NAGRA Kudelski, Lausanne Switzerland
• Rike-Benjamin Schuppner, Institute for Theoretical Biology, 
Humboldt-Universität zu Berlin Germany
• Tiziano Zito, freelance consultant, Berlin Germany
• Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland

Organizers
==
For the German Neuroinformatics Node of the INCF (G-Node) Germany:

• Tiziano Zito, freelance consultant, Berlin Germany
• Caterina Buizza, Personal Robotics Lab, Imperial College London UK
• Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland
• Jakob Jordan, Department of Physiology, University of Bern, Switzerland 
Switzerland

 For the University of Camerino Italy:

• Flavio Corradini, Computer Science Division, School of Science and 
Technology, University of Camerino Italy
• Barbara Re, Computer Science Division, School of Science and Technology, 
University of Camerino Italy


Website: https://python.g-node.org
Contact: python-i...@g-node.org
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ANN: SPE 0.7.5.c: Improved documentation & bugfixes

2005-08-26 Thread SPE - Stani&#x27;s Python Editor
With special thanks to Dimitri Pater to contribute his documenation
from http://www.serpia.com and Nir Aides for the documentation about
the debugger. Also thanks to all Mac donors who bring real Mac support
for SPE more and more close. For more info visit the homepage.

Stani

Spe is a free python IDE with auto indentation & completion, call tips,
syntax coloring & highlighting, UML diagrams, class explorer, source
index, auto todo list, sticky notes, pycrust shell, file browsers,
drag&drop, context help, Blender support, ... Spe ships with Python
debugger (remote & encrypted), wxGlade (gui designer), PyChecker
(source code doctor) and Kiki (regex console).

http://pythonide.stani.be
http://pythonide.stani.be/blog
http://pythonide.stani.be/screenshots

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ANN: SPE 0.8.3.c Python IDE editor

2006-10-30 Thread SPE - Stani&#x27;s Python Editor
This is a maintenance release (mostly bug fixing) to prove that SPE is
alive and well! In case you are using wxPython2.7 you'll need to
upgrade to this release. Submitted patches will be reviewed and
included if approved for next release. Thanks for all your patient
support and continuing donations.

The SPE 0.8.2.a release got downloaded 110550 times on berlios and
sourceforge together. Not bad. This means SPE has not seen an update
for a while or is getting very popular. Maybe both ;-)

Installers are available for python 2.3, 2.4 and 2.5 for Windows and as
a rpm including wxPython. Other operating systems can choose the
no-setup.zip or targ.gz archives. A .deb archive is being prepared for
Debian Linux systems such as Ubuntu.

wxGlade is unfortunately not compatible with wxPython2.7. So if you
want to use, you'll need wxPython2.6.

:**Fixes**:

- output is now done with a fixed font
- uml.py is now again a stand alone demo
- upgraded and fixed wxGlade
- fixed for wxPython2.7 (and still backwards compatible with
wxPython2.6)
- updated NotebookCtrl

:**Contributors**:

- Andrea Gavana (NoteBookCtrl)
- Alberto Griggio (wxGlade)
- Michael Foord (python 2.3 + 2.5 releases for windows)

:**Donations**:

The development of SPE is driven by donations. Each of these donors
receives the pdf manual in thanks for their support of SPE.

- James Carroll (60 euro)
- John DeRosa (50 euro)
- Fumph LLC (50 euro)
- Ronald Britton (40 euro)
- David Downes (40 euro)
- Jorge Carrillo (40 euro)
- Nicolas Berney (40 euro)
- Francois Schnell (30 euro)
- Olivier Cortes (30 euro)
- Ayrshire Business Consulting Limited (30 euro)
- Chris White (25 euro)
- Thomas Wengerek (20 euro)
- John Rudolph (20 euro)
- Michael O'Keefe (20 euro)
- Michael Brickenstein (20 euro)
- Richard Walkington (20 euro)
- Oliver Tomic (20 euro)
- Jose Maria Cortes Arnal (20 euro)
- Jeffrey Emminger (20 euro)
- Eric Pederson (20 $)
- Charles Bosson (15 euro)
- Angelo Caruso (15 euro)
- Chris Hengge (15 $)
- Loïc Allys (15 euro)
- Marcin Chojnowski (15 euro)
- Boris Krasnoiarov (15 euro)
- Paul Furber (15 euro)
- Gary Robson (15 euro)
- Ralf Wieseler (15 euro)
- Samuel Schulenburg (10 euro)
- Leland Hulbert II (10 euro)
- Javier De La Mata Viader (10 euro)
- Dorman Musical Instruments (10 euro)
- Jaroslaw Sliwinski (10 euro)
- Alessandro Patelli (10 euro)
- James Pretorius (10 euro)
- Richard Wayne Garganta (10 euro)
- Maurizio Bracchitta (10 euro)
- Larry Lynch (10 euro)
- Kay Fricke (10 euro)
- Henrik Binggl (10 euro)
- Jerol Harrington (10 euro)
- Victor Adan (10 euro)
- James Fuqua (10 euro)
- Christian Seberino (5 euro)
- Serge Smeesters (5 euro)
- Jarek Libert (5 euro)
- Robin Friedrich (5 euro)
- Udo Rabe (5 euro)
- Roch Leduc (4 euro)
- Rha Diseno y Desarrollo (2 euro)

:**Installation**:

- See http://pythonide.stani.be/manual/html/manual2.html

:**Development**:

- http://developer.berlios.de/mail/?group_id=4161

About SPE:
SPE is a python IDE with auto-indentation, auto completion, call tips,
syntax coloring, uml viewer, syntax highlighting, class explorer,
source index, auto todo list, sticky notes, integrated pycrust shell,
python file browser, recent file browser, drag&drop, context help, ...
Special is its blender support with a blender 3d object browser and its
ability to run interactively inside blender. Spe integrates with XRCed
(gui
designer) and ships with wxGlade (gui designer), PyChecker (source
code doctor), Kiki (regular expression console) and WinPdb (remote,
multi-threaded debugger).

The development of SPE is driven by its donations. Anyone who donates
can ask for an nice pdf version of the manual without ads (74 pages).

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PyCon Ireland 2012 (13th - 14th Oct) - Dublin, Ireland

2012-08-22 Thread Vicky Lee - Python Ireland
Hi All,

What: PyCon Ireland 2012
Where: Radisson Blu Royal Hotel, Dublin, Ireland
When: Sat 13th October - Sun 14th October

Tickets are still on sale at:
http://python.ie/pycon/2012/registration/

Speakers and talks are now available:
http://python.ie/pycon/2012/conference/#talks

We are also proud to announce one of our keynote speakers,
Alex Bradbury, who will be talking about Raspberry Pi.

We would also like to put forward a call to volunteers to help us
with sprints, workshops and tutorials.

Companies interested in sponsoring PyCon Ireland, please register at:
http://python.ie/pycon/2012/callfor/#sponsors

In other news, raffle prizes include a pair Raspberry Pi for two
lucky student delegates (thanks to Vishal Vatsa and Michael Twomey).
Other prizes will be a surprise. #JustSaying

Further enquiries, please contact py...@python.ie.

Cheers,

/// Vicky Twomey-Lee (PyCon Ireland 2012 <http://python.ie/pycon/2012/>)
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PyCon Ireland Early Bird tickets ending in just over 2 weeks

2013-06-01 Thread Vicky Lee - Python Ireland
Hi All,

When: 12th - 15th October 2013
Where: Burlington Hotel (conference) / College of Computer Training
(sprints), Dublin

Early Bird tickets are still available. Just over two weeks left! Ends *June
16th*.
Buy yours at http://python.ie/pycon/

If you are interested in any of the sprints, you can register via
http://python.ie/pycon/ as well.

Call for Proposals <http://bit.ly/speakerpyconie> and
Sponsors<http://bit.ly/sponsorpyconie>are still open.

If you have any questions, please contact py...@python.ie.

Cheers,

/// Vicky (PyCon Ireland <http://python.ie/pycon/2013/> co-Chair)

Python Ireland <http://python.ie/> co-Chair / Treasurer
EuroPython 
Board<https://ep2012.europython.eu/blog/2012/07/08/change-board-europython-society>
PSF member <http://pyfound.blogspot.ie/2012/08/welcome-new-psf-members.html>
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[Python-announce] bor 0.2.0

2022-08-12 Thread furkanonder via Python-announce-list
Announcing bor 0.2.0
=

PyPI: https://pypi.org/project/bor/0.2.0/
Pip: ``pip install bor==0.2.0``
Source: https://github.com/furkanonder/bor/

What is wxPython?
-
Bor is user-friendly, tiny source code searcher written in pure Python.

bor currently supports class and def keywords. Other Python keywords will be 
added in the future releases.

bor {keyword} {pattern}

By default, bor runs in your current directory. You can run bor with the 
specific source file or directory:

bor {keyword} {pattern} {source_file_or_directory}

Examples
-

bor class Cat
Output:
Cat at examples/test.py:18

bor class .Cat
Output:

Cat at examples/test.py:18
BlueCat at examples/test.py:26

Enjoy,
Furkan Onderhttps://github.com/furkanonder/
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[Python-announce] bor 0.2.0

2022-08-12 Thread furkanonder via Python-announce-list
Announcing bor 0.2.0
=

PyPI: https://pypi.org/project/bor/0.2.0/
Pip: ``pip install bor==0.2.0``
Source: https://github.com/furkanonder/bor/

What is bor?
-
Bor is user-friendly, tiny source code searcher written in pure Python.

bor currently supports class and def keywords. Other Python keywords will be 
added in the future releases.

bor {keyword} {pattern}

By default, bor runs in your current directory. You can run bor with the 
specific source file or directory:

bor {keyword} {pattern} {source_file_or_directory}

Examples
-

bor class Cat
Output:
Cat at examples/test.py:18

bor class .Cat
Output:

Cat at examples/test.py:18
BlueCat at examples/test.py:26

Enjoy,
Furkan Onderhttps://github.com/furkanonder/
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[Python-announce] objerve 0.2.0

2022-09-12 Thread furkanonder via Python-announce-list
Announcing objerve 0.2.0
=

PyPI: https://pypi.org/project/objerve/0.2.0/
Pip: ``pip install objerve==0.2.0``
Source: https://github.com/furkanonder/objerve/

What is objerve?
-
Objerve is a tiny observer for Python object attributes that only use one 
decorator.

Example
-
from objerve import watch

@watch(set={"foo", "qux"}, get={"bar", "foo"})
class M:
qux = "blue"

def __init__(self):
self.bar = 55
self.foo = 89
self.baz = 121

m = M()

def abc():
m.foo += 10

m.qux = "red"
abc()
m.foo

Output:

Set | foo = 89
File "/home/blue/example.py", line 9, in __init__
self.foo = 89

Set | qux = red
File "/home/blue/example.py", line 18, in 
m.qux = "red"

Get | foo = 89
File "/home/blue/example.py", line 16, in abc
m.foo += 10

Set | foo = 99
File "/home/blue/example.py", line 16, in abc
m.foo += 10

Get | foo = 99
File "/home/blue/example.py, line 20, in 
m.foo

Enjoy,
Furkan Onderhttps://github.com/furkanonder/
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[Python-announce] akarsu 0.2.0

2023-10-23 Thread furkanonder via Python-announce-list
What is akarsu?
[akarsu](https://github.com/furkanonder/akarsu) is the New Generation Profiler 
based on [PEP 669](https://peps.python.org/pep-0669/).

Installation
pip install akarsu (It requires Python 3.12.0+ to run)

Example Usage
cat example.py

> def foo():
> x = 1
> isinstance(x, int)
> return x
>
> def bar():
> foo()
>
> bar()

akarsu -f example.py

> Output:
> Count Event Type Filename(function)
> 1 PY_CALL example.py(bar)
> 1 PY_START example.py(bar)
> 1 PY_CALL example.py(foo)
> 1 PY_START example.py(foo)
> 1 C_CALL example.py()
> 1 C_RETURN example.py(foo)
> 1 PY_RETURN example.py(foo)
> 1 PY_RETURN example.py(bar)
>
> Total number of events: 8
> PY_CALL = 2
> PY_START = 2
> PY_RETURN = 2
> C_CALL = 1
> C_RETURN = 1

The project page: https://github.com/furkanonder/akarsu

Enjoy,
Furkan Onder

>
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[Python-announce] Announcement: TLSSysLogHandler added on PyPI

2023-12-13 Thread epsilon--- via Python-announce-list
A new package for extending SysLogHandler with TLS support has been added on 
PyPI [1].
Modern syslog servers such as rsyslog, syslog-ng and OpenBSD's syslogd have TLS 
support for secure remote logging. Unfortunately the core python SysLogHandler 
does not have this functionality yet.
TLSSysLogHandler extends the SysLogHandler instead of a re-implementation and 
allows specifying a new "secure" parameter, which enables using TLS with TCP. 
The hope is to get TLS functionality into core SysLogHandler after this package 
is stable.
The discussion is present on the forum's [2].

Best,
Aisha

[1] https://pypi.org/project/tlssysloghandler/
[2] https://discuss.python.org/t/allow-tls-configuration-for-sysloghandler/40785
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PSF Python Brochure is ready to print: accepting ad orders now!

2012-07-13 Thread PSF Python Brochure Project Team
The PSF Python Brochure Project has finished the content and layout
phase. The first full format pre-production issues were shown at the
PSF booth during the EuroPython Conference 2012 in Florence, Italy,
and caused a lot of excitement - to print the brochure we now need
supporting sponsors.

Please visit our website for more information about the brochure
project:
  http://brochure.getpython.info/

This announcement is also available for online reading:
http://brochure.getpython.info/news/newsletter-4-ready-to-print-and-order-now


The Python brochure is ready to print
=

Now is the time to place your ad in the brochure!

You can benefit from the PSF Python Brochure by buying ads or a
reference entry in the brochure, to e.g. show case your company for
recruiting purposes or consulting services. With over 10,000 printed
copies distributed world-wide this is an excellent way to reach out to
new developers and customers.

>>> Don't miss the opportunity to place your ad in the very first
>>> Python image brochure.


Ads
===

The brochure will have an addendum with 2 double pages for ads. You
can buy a half page or a full page ad.

You will receive a box of around 120 free copies of the printed
brochure after production.

We have already sold 4 ads. There is still room for up to 4 half page
ads.

Reference Entry
---

You can also buy a reference entry with a fixed layout on the last two
pages of the Python Brochure including your full color logo and
contact details. There is room for more than 30 entries.

Pricing
---

 * A half page ad costs EUR 2,650.00 (+ 19% German VAT, if
   applicable).

 * A full page ad costs EUR 5,300.00 (+ 19% German VAT, if
   applicable).

 * A reference entry can be purchased for EUR 500.00 (+ 19% German
   VAT, if applicable).

Ad Placement


We follow "first pay, first serve" until all ad slots are
booked. Subsequent orders will be placed on a waiting list for the
next edition.

Individual ad placement is not possible.


Deadline for Data & Approval


The deadline for data delivery will be 2012 August 31st.

You will receive a professional software proof PDF of your page prior
to printing with 2 days left for approval and final corrections.

For full technical details regarding data submission, formats and
specifications for the ad content, please consult our Ad Guidelines.


Ordering Procedure
==

For the order you will be redirected to the secure SSL encrypted site
hosted by our production partner evenios publishing. The terms &
conditions and data privacy statement for the order are published on
encrypted.evenios.com .

Please note that the payment is not processed by the PSF! You will
receive an invoice issued by evenios publishing, the company producing
and distributing the brochure.

Order a half page ad

https://encrypted.evenios.com/en/mediadata/cart/order-forms/ad-sponsorship-order-form-1-2-page

Order a full page ad

https://encrypted.evenios.com/en/mediadata/cart/order-forms/ad-sponsorship-order-form-1-1-page

Order a reference entry sponsorship
---
https://encrypted.evenios.com/en/mediadata/cart/order-forms/reference-sponsorship-entry-order-form


Thanks,
-- 
Marc-Andre Lemburg
PSF Python Brochure Team
___
>>> Website:http://brochure.getpython.info/
>>> Twitter: https://twitter.com/pythonbrochure
>>> EMail:  broch...@getpython.info
-- 
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Support the Python Software Foundation:
http://www.python.org/psf/donations/


PSF Python Brochure available as PDF preview. Last chance to order your ad!

2013-03-16 Thread PSF Python Brochure Project Team
The first full format pre-production issues were shown at several
Python conferences throughout the last year and caused a lot of
excitement among the attendees.

The PSF Python Brochure Project has now finished getting all approvals
from the content providers, so we can finally publish a PDF preview of
the finished brochure for the whole Python community to see.

Please visit our website for more information about the brochure
project:
http://brochure.getpython.info/

This newsletter is also available for online reading:
http://brochure.getpython.info/news/newsletter-5-preview-available



 Finally: After two years in the making,
   the Python brochure is now available as PDF preview!


Please download the PDF preview of the Python brochure and
 have a look:

   http://brochure.getpython.info/pdf-preview


This is your last chance to place your ad in the brochure
=

Your will benefit from reaching out to a fantastic audience, including
Python developers, Python users and many people from around the world,
who don't yet realize what they are missing. This is your chance as a
company to be one of the first to get your name out to these new high
potential future Python users.

You can present your products and consulting services, or show case
your company for recruiting purposes. With over 10,000 printed copies
distributed world-wide this is an excellent way to reach out to new
customers and developers.

As additional benefit, you will also receive a box with high quality
printed brochures to directly present to your customers or use for
recruiting.

Don't miss the opportunity to place your ad in this very first Python
image brochure.


* Ads
-

The brochure will have an addendum with 2 double pages for ads. You
can buy a half page or a full page ad.

After production, you will receive a box of around 120 free copies of
the printed brochure.

We have already sold 6 ads. There is still room for up to 2 half page ads.

* Reference Entry
-

For Python service and consulting companies, we have added a more
affordable option in form of a reference listing with fixed layout on
the last two pages of the Python Brochure.

Each entry will have a full color logo, space for a one line
description of the service and contact details. There is room for
30-40 entries.

We have already sold 5 reference entries. There is still room for up
to 25-35 reference entries.

* Pricing
-

 * A half page ad costs EUR 2,650.00 (+ 19% German VAT, if applicable)

 * A full page ad costs EUR 5,300.00 (+ 19% German VAT, if applicable)

 * A reference entry can be purchased for EUR 500.00 (+ 19% German
   VAT, if applicable)

* Ad Placement
--

We follow "first pay, first serve" until all ad slots are
booked. Subsequent orders will be placed on a waiting list for the
next edition.

Individual ad placement is not possible.


Deadline for Data & Approval


The deadline for data delivery is April 30 2013.

You will receive a professional software proof PDF of your page prior
to printing with 2 days left for approval and final corrections.

For full technical details regarding data submission, formats and
specifications for the ad content, please consult our Ad Guidelines.


Ordering Procedure
==

For the order you will be redirected to the secure SSL encrypted site
hosted by our production partner evenios publishing. The terms &
conditions and data privacy statement for the order are published on
encrypted.evenios.com .

Please note that the payment is not processed by the PSF! You will
receive an invoice issued by evenios publishing, the company producing
and distributing the brochure.

Order a half page ad

https://encrypted.evenios.com/en/mediadata/cart/order-forms/ad-sponsorship-order-form-1-2-page

Order a full page ad

https://encrypted.evenios.com/en/mediadata/cart/order-forms/ad-sponsorship-order-form-1-1-page

Order a reference entry sponsorship
---
https://encrypted.evenios.com/en/mediadata/cart/order-forms/reference-sponsorship-entry-order-form


Thanks,
-- 
Marc-Andre Lemburg
PSF Vice Chairman / PSF Python Brochure Team
___
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>>> Twitter: https://twitter.com/pythonbrochure
>>> EMail:  broch...@getpython.info
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Support the Python Software Foundation:
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PyCon Ireland 2015 Call for Proposals

2015-07-04 Thread Vicky Twomey-Lee - Python Ireland
Hi All,

I am happy to announce that PyCon Ireland will be back in Dublin on* Sat
Oct 24 to Sun Oct 25* this year.

If you are interested in speaking at the 2-day conference, please submit
your proposal via http://python.ie/pycon-2015/call-proposals/.
Deadline for talk proposals is *Fri July 31 23:59 (BST)*.

If you are interested in running/helping in a workshop or have any
enquiries, please email us via cont...@python.ie.

Thanks,

/// Vicky Twomey-Lee (PyLadies Dublin <https://twitter.com/pyladiesdub>
 Founder)

Python Ireland <http://python.ie/> Member
PSF member <http://pyfound.blogspot.ie/2012/08/welcome-new-psf-members.html>
 | EuroPython Society
<https://ep2012.europython.eu/blog/2012/07/08/change-board-europython-society>
Board
Member
Coding Grace <http://codinggrace.com/> co-Founder | GameCraft It
<http://gamecraft.it/> co-Founder | WITS
<http://witsireland.com/governance/> Board Member
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ANN: PyCLIF 0.3 released

2017-09-30 Thread mrovner--- via Python-announce-list
The C++ Language Interface Framework (CLIF) provides a common foundation for 
creating C++ wrapper generators for various languages.

Python generator (PyCLIF) is used widely inside Google.

It is available on pypi here: 
  https://pypi.python.org/pypi/pyclif

and via git from: 
  https://github.com/google/clif 

The mailing list is: 
  https://groups.google.com/forum/#!forum/pyclif

CLIF is Free Software, licensed under the Apache Software License. 

It requires Python 2.7 or 3.4 onwards. 

Major changes since 0.2: 
- Fix INSTALL.sh for system installation of Google protobuf
- Default INSTALL.sh for x86 only
- Python:
- - include google protobuf support
- - make a class iterable by having a nested class __iter__
- - experimental interface / implements statements for multiple template 
instantiations

Happy CLIFing!
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Support the Python Software Foundation:
http://www.python.org/psf/donations/


SQLObject 3.9.1

2021-02-27 Thread Oleg Broytman via Python-announce-list
Hello!

I'm pleased to announce version 3.9.1, the first minor feature release
of branch 3.9 of SQLObject.


What's new in SQLObject
===

Drivers
---

* Adapt to the latest ``pg8000``.

* Protect ``getuser()`` - it can raise ``ImportError`` on w32
  due to absent of ``pwd`` module.

Build
-

* Change URLs for ``oursql`` in ``extras_require`` in ``setup.py``.
  Provide separate URLs for Python 2.7 and 3.4+.

* Add ``mariadb`` in ``extras_require`` in ``setup.py``.

CI
--

* For tests with Python 3.4 run ``tox`` under Python 3.5.

Tests
-

* Refactor ``tox.ini``.

For a more complete list, please see the news:
http://sqlobject.org/News.html


What is SQLObject
=

SQLObject is an object-relational mapper.  Your database tables are described
as classes, and rows are instances of those classes.  SQLObject is meant to be
easy to use and quick to get started with.

SQLObject supports a number of backends: MySQL, PostgreSQL, SQLite;
connections to other backends - Firebird, Sybase, MSSQL
and MaxDB (also known as SAPDB) - are lesser debugged).

Python 2.7 or 3.4+ is required.


Where is SQLObject
==

Site:
http://sqlobject.org

Development:
http://sqlobject.org/devel/

Mailing list:
https://lists.sourceforge.net/mailman/listinfo/sqlobject-discuss

Download:
https://pypi.org/project/SQLObject/3.9.1

News and changes:
http://sqlobject.org/News.html

StackOverflow:
https://stackoverflow.com/questions/tagged/sqlobject


Example
===

Create a simple class that wraps a table::

  >>> from sqlobject import *
  >>>
  >>> sqlhub.processConnection = connectionForURI('sqlite:/:memory:')
  >>>
  >>> class Person(SQLObject):
  ... fname = StringCol()
  ... mi = StringCol(length=1, default=None)
  ... lname = StringCol()
  ...
  >>> Person.createTable()

Use the object::

  >>> p = Person(fname="John", lname="Doe")
  >>> p
  
  >>> p.fname
  'John'
  >>> p.mi = 'Q'
  >>> p2 = Person.get(1)
  >>> p2
  
  >>> p is p2
  True

Queries::

  >>> p3 = Person.selectBy(lname="Doe")[0]
  >>> p3
  
  >>> pc = Person.select(Person.q.lname=="Doe").count()
  >>> pc
  1

Oleg.
-- 
Oleg Broytmanhttps://phdru.name/    p...@phdru.name
   Programmers don't die, they just GOSUB without RETURN.
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PyData/Sparse 0.12.0 Release Announcement

2021-03-19 Thread Hameer Abbasi via Python-announce-list
Apologies in advance for the cross-post!

I’m happy to announce the release of PyData/Sparse 0.12.0!

PyData/Sparse provides sparse arrays with a NumPy-like API for the PyData 
ecosystem.

This is a large release with GCXS support, preliminary CSR/CSC support and 
extensions to DOK, as well as bugfixes.

Changelog: https://sparse.pydata.org/en/stable/changelog.html
Documentation: https://sparse.pydata.org/
Source: https://github.com/pydata/sparse/

Best regards,
Hameer Abbasi

--
Sent from Canary (https://canarymail.io)

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pytest 6.2.3

2021-04-03 Thread Ran Benita via Python-announce-list
pytest 6.2.3 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 
https://docs.pytest.org/en/stable/changelog.html.

Thanks to all of the contributors to this release:

* Bruno Oliveira
* Ran Benita

Happy testing,
The pytest Development Team
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ANN: distlib 0.3.2 released on PyPI

2021-05-31 Thread Vinay Sajip via Python-announce-list
I've recently released version 0.3.2 of distlib on PyPI [1]. For newcomers,
distlib is a library of packaging functionality which is intended to be
usable as the basis for third-party packaging tools.

The main changes in this release are as follows:

* Fixed #139: improved handling of errors related to the test PyPI server.

* Fixed #140: allowed "Obsoletes" in more scenarios, to better handle faulty
  metadata already on PyPI.

* Fixed #141: removed unused regular expression.

* Fixed #143: removed normcase() to avoid some problems on Windows.

* Fixed #146: added entry for SourcelessFileLoader to the finder registry.

* Fixed #147: permission bits are now preserved on POSIX when installing from a 
wheel.

* Made the generation of scripts more configurable.

* Added support for manylinux wheel tags.

A more detailed change log is available at [2].

Please try it out, and if you find any problems or have any suggestions for 
improvements,
please give some feedback using the issue tracker! [3]

Regards,

Vinay Sajip

[1] https://pypi.org/project/distlib/0.3.2/
[2] https://distlib.readthedocs.io/en/0.3.2/
[3] https://bitbucket.org/pypa/distlib/issues/new
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[Python-announce]Announcing sqlalchemy-bigquery 1.0.0

2021-08-19 Thread Tim Swast via Python-announce-list
We’re happy to announce the general-availability
<https://github.com/googleapis/google-cloud-python/blob/master/README.rst#general-availability>
of sqlalchemy-bigquery
<https://googleapis.dev/python/sqlalchemy-bigquery/latest/index.html>
version 1.0.0, the Google BigQuery dialect for SQLAlchemy
<https://www.sqlalchemy.org/>, allowing SQLAlchemy to be used with
BigQuery, including schema definition, querying and schema migration with
Alembic <https://alembic.sqlalchemy.org/en/latest/>.

This release builds on and replaces the earlier pybigquery
<https://pypi.org/project/pybigquery/> project.

The release can be installed from PyPI

python -m pip install sqlalchemy-bigquery==1.0.0


Please share any feedback as an issue on GitHub:
https://github.com/googleapis/python-bigquery-sqlalchemy/issues


Thanks!

*  •  **Tim Swast*
*  •  *Senior Software Friendliness Engineer, Data & Analytics
*  •  *Google Cloud Developer Relations
*  •  *Chicago, IL, USA
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[Python-announce] ANN: Version 0.5.1 of the Python config module has been released.

2021-09-11 Thread Vinay Sajip via Python-announce-list
What Does It Do?

The CFG configuration format is a text format for configuration files which is 
similar
to, and a superset of, the JSON format.It has the following aims:

* Allow a hierarchical configuration scheme with support for key-value mappings 
and
  lists.
* Support cross-references between one part of the configuration and another.
* Provide a string interpolation facility to easily build up configuration 
values from
  other configuration values.
* Provide the ability to compose configurations (using include and merge 
facilities).
* Provide the ability to access real application objects safely.
* Be completely declarative.

It overcomes a number of drawbacks of JSON when used as a configuration format:

* JSON is more verbose than necessary.
* JSON doesn’t allow comments.
* JSON doesn’t provide first-class support for dates and multi-line strings.
* JSON doesn’t allow trailing commas in lists and mappings.
* JSON doesn’t provide easy cross-referencing, interpolation, or composition.

The Python config module provides an interface to work with configuration files 
written
in the CFG format.

Comprehensive documentation is available at

https://docs.red-dove.com/cfg/index.html

and you can report issues / enhancement requests at

https://github.com/vsajip/py-cfg-lib/issues

As always, your feedback is most welcome (especially bug reports, patches and
suggestions for improvement). Enjoy!

Cheers,

Vinay Sajip

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[Python-announce] ANN: distlib 0.3.3 released on PyPI

2021-09-22 Thread Vinay Sajip via Python-announce-list
I've recently released version 0.3.3 of distlib on PyPI [1]. For newcomers,
distlib is a library of packaging functionality which is intended to be
usable as the basis for third-party packaging tools.

The main changes in this release are as follows:

* Fixed #152: Removed splituser() function which wasn't used and is deprecated.

* Fixed #149: Handle version comparisons correctly in environment markers.

* Add ARM-64 launchers and support code to use them. Thanks to Niyas Sait and
  Adrian Vladu for their contributions.

* Fixed #148: Handle a single trailing comma following a version. Thanks to 
Blazej
  Floch for the report and suggested fix.

* Fixed #150: Fix incorrect handling of epochs.

* Reverted handling of tags for Python >= 3.10 (use 310 rather than 3_10). This 
is
  because PEP 641 was rejected.

* Added a GitHub Actions workflow to perform tests.

A more detailed change log is available at [2].

Please try it out, and if you find any problems or have any suggestions for 
improvements,
please give some feedback using the issue tracker! [3]

Regards,

Vinay Sajip

[1] https://pypi.org/project/distlib/0.3.3/
[2] https://distlib.readthedocs.io/en/0.3.3/
[3] https://bitbucket.org/pypa/distlib/issues/new
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[Python-announce] ANN: A new library for encryption and signing has been released.

2021-12-05 Thread Vinay Sajip via Python-announce-list
A new library called pagesign (Python-age-sign) has been released on PyPI [1].
It covers similar functionality to python-gnupg, but uses the modern encryption 
tool
age [2] and the modern signing tool minisign [3]. The initial release allows 
you to:

* Create and manage identities (which are containers for the keys used for
  encryption/decryption and signing/verification).
* Encrypt and decrypt files to multiple recipients.
* Sign files and verify signatures.

This release has been signed with my code signing key:

Vinay Sajip (CODE SIGNING KEY) 
Fingerprint: CA74 9061 914E AC13 8E66 EADB 9147 B477 339A 9B86

Recent changes to PyPI don't show the GPG signature with the download links.
An alternative download source where the signatures are available is at [4].
Documentation is available at [5].

As always, your feedback is most welcome (especially bug reports [6],
patches and suggestions for improvement, or any other points).

Enjoy!

Cheers

Vinay Sajip

[1] https://pypi.org/project/pagesign/0.1.0/
[2] https://age-encryption.org/
[3] https://jedisct1.github.io/minisign/
[4] https://bitbucket.org/vinay.sajip/pagesign/downloads/
[5] https://docs.red-dove.com/pagesign/
[6] https://github.com/vsajip/pagesign/issues/new/choose

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[Python-announce] ANN: distlib 0.3.4 released on PyPI

2021-12-08 Thread Vinay Sajip via Python-announce-list
I've recently released version 0.3.4 of distlib on PyPI [1]. For newcomers,
distlib is a library of packaging functionality which is intended to be
usable as the basis for third-party packaging tools.

The main changes in this release are as follows:

* Fixed #153: Raise warnings in get_distributions() if bad metadata seen, but 
keep
  going.

* Fixed #154: Determine Python versions correctly for Python >= 3.10.

* Updated launcher executables with changes to handle duplication logic.

Code relating to support for Python 2.6 was also removed (support for Python 
2.6 was
dropped in an earlier release, but supporting code wasn't removed until now).

A more detailed change log is available at [2].

Please try it out, and if you find any problems or have any suggestions for 
improvements,
please give some feedback using the issue tracker! [3]

Regards,

Vinay Sajip

[1] https://pypi.org/project/distlib/0.3.4/
[2] https://distlib.readthedocs.io/en/0.3.4/
[3] https://bitbucket.org/pypa/distlib/issues/new

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[Python-announce] pytest-7.1.0

2022-03-13 Thread Ran Benita via Python-announce-list
pytest-7.1.0
===

The pytest team is proud to announce the 7.1.0 release!

This release contains new features, improvements, and bug fixes,
the full list of changes is available in the changelog:

https://docs.pytest.org/en/stable/changelog.html

For complete documentation, please visit:

https://docs.pytest.org/en/stable/

As usual, you can upgrade from PyPI via:

pip install -U pytest

Thanks to all of the contributors to this release:

* Akuli
* Andrew Svetlov
* Anthony Sottile
* Brett Holman
* Bruno Oliveira
* Chris NeJame
* Dan Alvizu
* Elijah DeLee
* Emmanuel Arias
* Fabian Egli
* Florian Bruhin
* Gabor Szabo
* Hasan Ramezani
* Hugo van Kemenade
* Kian Meng, Ang
* Kojo Idrissa
* Masaru Tsuchiyama
* Olga Matoula
* P. L. Lim
* Ran Benita
* Tobias Deiminger
* Yuval Shimon
* eduardo naufel schettino
* Éric


Happy testing,
The pytest Development Team
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[Python-announce] pytest-7.1.1

2022-03-17 Thread Ran Benita via Python-announce-list
pytest-7.1.1
===

pytest 7.1.1 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 
https://docs.pytest.org/en/stable/changelog.html.

Thanks to all of the contributors to this release:

* Ran Benita


Happy testing,
The pytest Development Team
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[Python-announce] ANN: A new version (0.4.9) of python-gnupg has been released.

2022-05-20 Thread Vinay Sajip via Python-announce-list
What Changed?
=
This is an enhancement and bug-fix release, and all users are encouraged to
upgrade.

Brief summary:

* Fixed #161: Added a status attribute to the returned object from gen_key() 
which
  is set to 'ok' if a key was successfully created, or 'key not created' if that
  was reported by gpg, or None in any other case.

* Fixed #164: Provided the ability to add subkeys. Thanks to Daniel Kilimnik 
for the
  feature request and patch.

* Fixed #166: Added keygrip values to the information collected when keys are 
listed.
  Thanks to Daniel Kilimnik for the feature request and patch.

* Fixed #173: Added extra_args to send_keys(), recv_keys() and search_keys() to 
allow
  passing options relating to key servers.

This release [2] has been signed with my code signing key:

Vinay Sajip (CODE SIGNING KEY) 
Fingerprint: CA74 9061 914E AC13 8E66 EADB 9147 B477 339A 9B86

Recent changes to PyPI don't show the GPG signature with the download links.
The source code repository is at [1].
An alternative download source where the signatures are available is at [4].
Documentation is available at [5].

As always, your feedback is most welcome (especially bug reports [3],
patches and suggestions for improvement, or any other points via this group).

Enjoy!

Cheers

Vinay Sajip

[1] https://github.com/vsajip/python-gnupg
[2] https://pypi.org/project/python-gnupg/0.4.9
[3] https://github.com/vsajip/python-gnupg/issues
[4] https://github.com/vsajip/python-gnupg/releases/
[5] https://docs.red-dove.com/python-gnupg/
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[Python-announce] ANN: distlib 0.3.5 released on PyPI

2022-07-14 Thread Vinay Sajip via Python-announce-list
I've recently released version 0.3.5 of distlib on PyPI [1]. For newcomers,
distlib is a library of packaging functionality which is intended to be
usable as the basis for third-party packaging tools.

The main changes in this release are as follows:

* Fixed #161: Updated test case.

* Fixed #164: Improved support for reproducible builds by allowing a fixed
  date/time to be inserted into created .exe files. Thanks to Somber Night for 
the
  patch.

* Fixed #169: Removed usage of deprecated imp module in favour of importlib.

* Fixed #170: Corrected implementation of ``get_required_dists()``.

* Fixed #172: Compute ABI correctly for Python < 3.8.

* Changed the default locator configuration.

* Made updates in support of PEP 643 / Metadata 2.2.

* Updated launcher executables. Thanks to Michael Bikovitsky for his help with
  the launcher changes.

* Updated to write archive path of RECORD to RECORD instead of staging path.
  Thanks to Pieter Pas for the patch.

A more detailed change log is available at [2].

Please try it out, and if you find any problems or have any suggestions for 
improvements,
please give some feedback using the issue tracker! [3]

Regards,

Vinay Sajip

[1] https://pypi.org/project/distlib/0.3.5/
[2] https://distlib.readthedocs.io/en/0.3.5/
[3] https://github.com/pypa/distlib/issues/new/choose

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[Python-announce] ANN: A new version (0.5.0) of python-gnupg has been released.

2022-08-23 Thread Vinay Sajip via Python-announce-list
What Changed?
=
This is an enhancement and bug-fix release, and all users are encouraged to
upgrade.

Brief summary:

* Fixed #181: Added the ability to pass file paths to encrypt_file, 
decrypt_file,
  sign_file, verify_file, get_recipients_file and added import_keys_file.

* Fixed #183: Handle FAILURE and UNEXPECTED conditions correctly. Thanks to 
sebbASF for
  the patch.

* Fixed #185: Handle VALIDSIG arguments more robustly.

* Fixed #188: Remove handling of DECRYPTION_FAILED from Verify code, as not 
required
  there. Thanks to sebbASF for the patch.

* Fixed #190: Handle KEY_CREATED more robustly.

* Fixed #191: Handle NODATA messages during verification.

* Fixed #196: Don't log chunk data by default, as it could contain sensitive
  information (during decryption, for example).

* Added the ability to pass an environment to the gpg executable. Thanks to 
Edvard
  Rejthar for the patch.

This release [2] has been signed with my code signing key:

Vinay Sajip (CODE SIGNING KEY) 
Fingerprint: CA74 9061 914E AC13 8E66 EADB 9147 B477 339A 9B86

Recent changes to PyPI don't show the GPG signature with the download links.
The source code repository is at [1].
An alternative download source where the signatures are available is at [4].
Documentation is available at [5].

As always, your feedback is most welcome (especially bug reports [3],
patches and suggestions for improvement, or any other points via this group).

Enjoy!

Cheers

Vinay Sajip

[1] https://github.com/vsajip/python-gnupg
[2] https://pypi.org/project/python-gnupg/0.5.0
[3] https://github.com/vsajip/python-gnupg/issues
[4] https://github.com/vsajip/python-gnupg/releases/
[5] https://docs.red-dove.com/python-gnupg/
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[Python-announce] pytest-7.3.0

2023-04-08 Thread Ran Benita via Python-announce-list
pytest-7.3.0
===

The pytest team is proud to announce the 7.3.0 release!

This release contains new features, improvements, and bug fixes,
the full list of changes is available in the changelog:

https://docs.pytest.org/en/stable/changelog.html

For complete documentation, please visit:

https://docs.pytest.org/en/stable/

As usual, you can upgrade from PyPI via:

pip install -U pytest

Thanks to all of the contributors to this release:

* Aaron Berdy
* Adam Turner
* Albert Villanova del Moral
* Alessio Izzo
* Alex Hadley
* Alice Purcell
* Anthony Sottile
* Anton Yakutovich
* Ashish Kurmi
* Babak Keyvani
* Billy
* Brandon Chinn
* Bruno Oliveira
* Cal Jacobson
* Chanvin Xiao
* Cheuk Ting Ho
* Chris Wheeler
* Daniel Garcia Moreno
* Daniel Scheffler
* Daniel Valenzuela
* EmptyRabbit
* Ezio Melotti
* Felix Hofstätter
* Florian Best
* Florian Bruhin
* Fredrik Berndtsson
* Gabriel Landau
* Garvit Shubham
* Gergely Kalmár
* HTRafal
* Hugo van Kemenade
* Ilya Konstantinov
* Itxaso Aizpurua
* James Gerity
* Jay
* John Litborn
* Jon Parise
* Jouke Witteveen
* Kadino
* Kevin C
* Kian Eliasi
* Klaus Rettinghaus
* Kodi Arfer
* Mahesh Vashishtha
* Manuel Jacob
* Marko Pacak
* MatthewFlamm
* Miro Hrončok
* Nate Meyvis
* Neil Girdhar
* Nhieuvu1802
* Nipunn Koorapati
* Ofek Lev
* Paul Kehrer
* Paul Müller
* Paul Reece
* Pax
* Pete Baughman
* Peyman Salehi
* Philipp A
* Pierre Sassoulas
* Prerak Patel
* Ramsey
* Ran Benita
* Robert O'Shea
* Ronny Pfannschmidt
* Rowin
* Ruth Comer
* Samuel Colvin
* Samuel Gaist
* Sandro Tosi
* Santiago Castro
* Shantanu
* Simon K
* Stefanie Molin
* Stephen Rosen
* Sviatoslav Sydorenko
* Tatiana Ovary
* Teejay
* Thierry Moisan
* Thomas Grainger
* Tim Hoffmann
* Tobias Diez
* Tony Narlock
* Vivaan Verma
* Wolfremium
* Yannick PÉROUX
* Yusuke Kadowaki
* Zac Hatfield-Dodds
* Zach OBrien
* aizpurua23a
* bitzge
* bluthej
* gresm
* holesch
* itxasos23
* johnkangw
* q0w
* rdb
* s-padmanaban
* skhomuti
* sommersoft
* vin01
* wim glenn
* wodny
* zx.qiu


Happy testing,
The pytest Development Team
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[Python-announce] pytest-7.3.2

2023-06-10 Thread Ran Benita via Python-announce-list
pytest 7.3.2 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 
https://docs.pytest.org/en/stable/changelog.html.

Thanks to all of the contributors to this release:

* Adam J. Stewart
* Alessio Izzo
* Bruno Oliveira
* Ran Benita

Happy testing,
The pytest Development Team
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[Python-announce] pytest-7.4.0

2023-06-23 Thread Ran Benita via Python-announce-list
The pytest team is proud to announce the 7.4.0 release!

This release contains new features, improvements, and bug fixes,
the full list of changes is available in the changelog:

https://docs.pytest.org/en/stable/changelog.html

For complete documentation, please visit:

https://docs.pytest.org/en/stable/

As usual, you can upgrade from PyPI via:

pip install -U pytest

Thanks to all of the contributors to this release:

* Adam J. Stewart
* Alessio Izzo
* Alex
* Alex Lambson
* Brian Larsen
* Bruno Oliveira
* Bryan Ricker
* Chris Mahoney
* Facundo Batista
* Florian Bruhin
* Jarrett Keifer
* Kenny Y
* Miro Hrončok
* Ran Benita
* Roberto Aldera
* Ronny Pfannschmidt
* Sergey Kim
* Stefanie Molin
* Vijay Arora
* Ville Skyttä
* Zac Hatfield-Dodds
* bzoracler
* leeyueh
* nondescryptid
* theirix


Happy testing,
The pytest Development Team
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[Python-announce] Announcement: distlib 0.3.7 released on PyPI

2023-07-17 Thread Vinay Sajip via Python-announce-list
Version 0.3.7 of distlib has recently been released on PyPI [1]. For newcomers, 
distlib is a library of packaging functionality which is intended to be usable 
as the basis for third-party packaging tools.

The main changes in this release are as follows:

* Handle bare newlines when parsing metadata.

* Use version comparison logic for python_full_version.

* Fix shebang computation for source builds of Python.

* Extract tarfiles more safely by incorporating tarfile filters.

* Check for 'has_cert' attribute before using it.

* Fix #200: Improve conformance to PEP440.

* Fix #203: Handle parsing of export entries to allow script names such as "," 
or ",foo".

A more detailed change log is available at [2].

Please try it out, and if you find any problems or have any suggestions for 
improvements, please give some feedback using the issue tracker at [3].

Regards,

Vinay Sajip

[1] https://pypi.org/project/distlib/0.3.7/
[2] https://distlib.readthedocs.io/en/0.3.7/overview.html#change-log-for-distlib
[3] https://github.com/pypa/distlib/issues/new/choose
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[Python-announce] ANN: A new version (0.5.1) of python-gnupg has been released.

2023-07-22 Thread Vinay Sajip via Python-announce-list
What Changed?
=
This is an enhancement and bug-fix release, and all users are encouraged to 
upgrade.

Brief summary:

 * Added TRUST_EXPIRED to trust_keys.

* Fix #206: Remove deprecated --always-trust in favour of --trust-model always

* Fix #208: Add status_detail attribute to result objects which is populated 
when
  the status is 'invalid recipient' (encryption/decryption) or 'invalid signer'
  (signing). This attribute will be set when the result object's status 
attribute is
  set to 'invalid recipient' and will contain more information about the 
failure in the
  form of reason:ident where reason is a text description of the reason, and
  ident identifies the recipient key.

* Add scan_keys_mem() function to scan keys in a string.

* Fix #214: Handle multiple signatures when one of them is invalid or 
unverified.

* A problems attribute was added which holds problems reported by gpg
  during verification. This is a list of dictionaries, one for each reported
  problem. Each dictionary will have status and keyid keys indicating
  the problem and the corresponding key; other information in the dictionaries
  will be error specific.

* Fix #217: Use machine-readable interface to query the gpg version.

* Added the ability to export keys to a file.
This release [2] has been signed with my code signing key:

Vinay Sajip (CODE SIGNING KEY) 
Fingerprint: CA74 9061 914E AC13 8E66 EADB 9147 B477 339A 9B86

Recent changes to PyPI don't show the GPG signature with the download links.
An alternative download source where the signatures are available is at [4].
The source code repository is at [1].
Documentation is available at [5].
As always, your feedback is most welcome (especially bug reports [3],
patches and suggestions for improvement, or any other points via this group).

Enjoy!

Cheers

Vinay Sajip

[1] https://github.com/vsajip/python-gnupg
[2] https://pypi.org/project/python-gnupg/0.5.1
[3] https://github.com/vsajip/python-gnupg/issues
[4] https://github.com/vsajip/python-gnupg/releases/
[5] https://docs.red-dove.com/python-gnupg/
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[Python-announce] Announcement: distlib 0.3.8 released on PyPI

2023-12-13 Thread Vinay Sajip via Python-announce-list
Version 0.3.8 of distlib has recently been released on PyPI [1]. For newcomers, 
distlib is a library of packaging functionality which is intended to be usable 
as the basis for third-party packaging tools.
The main changes in this release are as follows:

* Fix #204: use symlinks in venv creation during test.

* Fix #208: handle deprecation removals in Python 3.13.

* Fix #209: use legacy version implementation for Python versions.

A more detailed change log is available at [2].

Please try it out, and if you find any problems or have any suggestions for 
improvements, please give some feedback using the issue tracker at [3].

Regards,

Vinay Sajip

[1] https://pypi.org/project/distlib/0.3.8/
[2] 
https://distlib.readthedocs.io/en/latest/overview.html#change-log-for-distlib
[3] https://github.com/pypa/distlib/issues/new/choose
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[Python-announce] ANN: A new version (0.5.2) of python-gnupg has been released.

2023-12-13 Thread Vinay Sajip via Python-announce-list
What Changed?=
This is an enhancement and bug-fix release, and all users are encouraged to 
upgrade.

Brief summary:

* Fix #228: Clarify documentation for encryption/decryption.

* Make I/O buffer size configurable via buffer_size attribute on a GPG instance.

This release [2] has been signed with my code signing key:

Vinay Sajip (CODE SIGNING KEY) 
Fingerprint: CA74 9061 914E AC13 8E66 EADB 9147 B477 339A 9B86

Recent changes to PyPI don't show the GPG signature with the download links.
An alternative download source where the signatures are available is at [4].
The source code repository is at [1].
Documentation is available at [5].

As always, your feedback is most welcome (especially bug reports [3],
patches and suggestions for improvement, or any other points via this group).

Enjoy!

Cheers

Vinay Sajip

[1] https://github.com/vsajip/python-gnupg
[2] https://pypi.org/project/python-gnupg/0.5.2
[3] https://github.com/vsajip/python-gnupg/issues
[4] https://github.com/vsajip/python-gnupg/releases/
[5] https://docs.red-dove.com/python-gnupg/



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[ANN] Python 3 Cheat Sheet v2.0

2015-11-02 Thread Laurent Pointal via Python-announce-list
Hello,

I just updated my one recto-verso sheet Python 3 Cheat Sheet

https://perso.limsi.fr/pointal/python:memento

Many modifications and enhancements (bytes, literal ints, assignment 
complement, conversion tricks, cleaning sequences indexing, complement on 
boolean logic, modules import, exceptions, small organization charts for flow 
control, complement on list dict set methods, string methods, complment on 
files).

Still available in english and in french.

As the document become more dense, old version is kept online if prefered.

A+
L.Pointal.

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ANN: A new version (0.3.9) of python-gnupg has been released.

2016-09-10 Thread Vinay Sajip via Python-announce-list
A new version of the Python module which wraps GnuPG has been released.

What Changed?
=
This is an enhancement and bug-fix release, and all users are encouraged to 
upgrade.
See the project website [1] for more information.

Brief summary:


* Fixed #38: You can now request information about signatures against
keys. Thanks to SunDwarf for the suggestion and patch, which was used
as a basis for this change.

* Fixed #49: When exporting keys, no attempt is made to decode the output when
armor=False is specified.

* Fixed #53: A ``FAILURE`` message caused by passing an incorrect passphrase
is handled.

* Handled ``EXPORTED`` and ``EXPORT_RES`` messages while exporting keys. Thanks
to Marcel Pörner for the patch.

* Fixed #54: Improved error message shown when gpg is not available.

* Fixed #55: Added support for ``KEY_CONSIDERED`` while verifying.

* Avoided encoding problems with filenames under Windows. Thanks to Kévin
Bernard-Allies for the patch.

* Fixed #57: Used a better mechanism for comparing keys.

This release [2] has been signed with my code signing key:

Vinay Sajip (CODE SIGNING KEY) 
Fingerprint: CA74 9061 914E AC13 8E66 EADB 9147 B477 339A 9B86

What Does It Do?

The gnupg module allows Python programs to make use of the
functionality provided by the Gnu Privacy Guard (abbreviated GPG or
GnuPG). Using this module, Python programs can encrypt and decrypt
data, digitally sign documents and verify digital signatures, manage
(generate, list and delete) encryption keys, using proven Public Key
Infrastructure (PKI) encryption technology based on OpenPGP.

This module is expected to be used with Python versions >= 2.4, as it
makes use of the subprocess module which appeared in that version of
Python. This module is a newer version derived from earlier work by
Andrew Kuchling, Richard Jones and Steve Traugott.

A test suite using unittest is included with the source distribution.

Simple usage:

>>> import gnupg
>>> gpg = gnupg.GPG(gnupghome='/path/to/keyring/directory')
>>> gpg.list_keys()

[{
...
'fingerprint': 'F819EE7705497D73E3CCEE65197D5DAC68F1AAB2',
'keyid': '197D5DAC68F1AAB2',
'length': '1024',
'type': 'pub',
'uids': ['', 'Gary Gross (A test user) ']},
{
...
'fingerprint': '37F24DD4B918CC264D4F31D60C5FEFA7A921FC4A',
'keyid': '0C5FEFA7A921FC4A',
'length': '1024',
...
'uids': ['', 'Danny Davis (A test user) ']}]
>>> encrypted = gpg.encrypt("Hello, world!", ['0C5FEFA7A921FC4A'])
>>> str(encrypted)

'-BEGIN PGP MESSAGE-\nVersion: GnuPG v1.4.9 (GNU/Linux)\n
\nhQIOA/6NHMDTXUwcEAf
.
-END PGP MESSAGE-\n'
>>> decrypted = gpg.decrypt(str(encrypted), passphrase='secret')
>>> str(decrypted)

'Hello, world!'
>>> signed = gpg.sign("Goodbye, world!", passphrase='secret')
>>> verified = gpg.verify(str(signed))
>>> print "Verified" if verified else "Not verified"

'Verified'

As always, your feedback is most welcome (especially bug reports [3],
patches and suggestions for improvement, or any other points via the
mailing list/discussion group [4]).

Enjoy!

Cheers

Vinay Sajip
Red Dove Consultants Ltd.

[1] https://bitbucket.org/vinay.sajip/python-gnupg
[2] https://pypi.python.org/pypi/python-gnupg/0.3.9
[3] https://bitbucket.org/vinay.sajip/python-gnupg/issues
[4] https://groups.google.com/forum/#!forum/python-gnupg
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ANN: distlib 0.2.4 released on PyPI

2016-10-03 Thread Vinay Sajip via Python-announce-list
I've just released version 0.2.4 of distlib on PyPI [1]. For newcomers,
distlib is a library of packaging functionality which is intended to be
usable as the basis for third-party packaging tools.

The main changes in this release are as follows:

* Updated to not fail during import if SSL is not available.
* Changed project name comparisons to follow PEP 503.
* Changed manifest and resources logic to work correctly under (upcoming) 
Python 3.6.
* Updated Windows launchers with fixes to bugs related to argument-passing in 
shebang lines.

A more detailed change log is available at [2].

Please try it out, and if you find any problems or have any suggestions for
improvements, please give some feedback using the issue tracker! [3]

Regards,

Vinay Sajip

[1] https://pypi.python.org/pypi/distlib/0.2.4
[2] https://goo.gl/M3kQzR
[3] https://bitbucket.org/pypa/distlib/issues/new
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ANN: A new version (0.4.0) of python-gnupg has been released.

2017-01-30 Thread Vinay Sajip via Python-announce-list
A new version of the Python module which wraps GnuPG has been released.

What Changed?
=
This is an enhancement and bug-fix release, and all users are encouraged to 
upgrade.
See the project website [1] for more information.

Brief summary:


* Added support for ``KEY_CONSIDERED`` in more places - encryption /
  decryption, signing, key generation and key import.

* Partial fix for #32 (GPG 2.1 compatibility). Unfortunately, better
  support cannot be provided at this point, unless there are certain
  changes (relating to pinentry popups) in how GPG 2.1 works.

* Fixed #60: An IndexError was being thrown by ``scan_keys()``.

* Ensured that utf-8 encoding is used when the ``--with-column`` mode is
  used. Thanks to Yann Leboulanger for the patch.

* ``list_keys()`` now uses ``--fixed-list-mode``. Thanks to Werner Koch
  for the pointer.

This release [2] has been signed with my code signing key:

Vinay Sajip (CODE SIGNING KEY) 
Fingerprint: CA74 9061 914E AC13 8E66 EADB 9147 B477 339A 9B86

What Does It Do?

The gnupg module allows Python programs to make use of the
functionality provided by the Gnu Privacy Guard (abbreviated GPG or
GnuPG). Using this module, Python programs can encrypt and decrypt
data, digitally sign documents and verify digital signatures, manage
(generate, list and delete) encryption keys, using proven Public Key
Infrastructure (PKI) encryption technology based on OpenPGP.

This module is expected to be used with Python versions >= 2.4, as it
makes use of the subprocess module which appeared in that version of
Python. This module is a newer version derived from earlier work by
Andrew Kuchling, Richard Jones and Steve Traugott.

A test suite using unittest is included with the source distribution.

Simple usage:

>>> import gnupg
>>> gpg = gnupg.GPG(gnupghome='/path/to/keyring/directory')
>>> gpg.list_keys()

[{
...
'fingerprint': 'F819EE7705497D73E3CCEE65197D5DAC68F1AAB2',
'keyid': '197D5DAC68F1AAB2',
'length': '1024',
'type': 'pub',
'uids': ['', 'Gary Gross (A test user) ']},
{
...
'fingerprint': '37F24DD4B918CC264D4F31D60C5FEFA7A921FC4A',
'keyid': '0C5FEFA7A921FC4A',
'length': '1024',
...
'uids': ['', 'Danny Davis (A test user) ']}]
>>> encrypted = gpg.encrypt("Hello, world!", ['0C5FEFA7A921FC4A'])
>>> str(encrypted)

'-BEGIN PGP MESSAGE-\nVersion: GnuPG v1.4.9 (GNU/Linux)\n
\nhQIOA/6NHMDTXUwcEAf
.
-END PGP MESSAGE-\n'
>>> decrypted = gpg.decrypt(str(encrypted), passphrase='secret')
>>> str(decrypted)

'Hello, world!'
>>> signed = gpg.sign("Goodbye, world!", passphrase='secret')
>>> verified = gpg.verify(str(signed))
>>> print "Verified" if verified else "Not verified"

'Verified'

As always, your feedback is most welcome (especially bug reports [3],
patches and suggestions for improvement, or any other points via the
mailing list/discussion group [4]).

Enjoy!

Cheers

Vinay Sajip
Red Dove Consultants Ltd.

[1] https://bitbucket.org/vinay.sajip/python-gnupg
[2] https://pypi.python.org/pypi/python-gnupg/0.4.0
[3] https://bitbucket.org/vinay.sajip/python-gnupg/issues
[4] https://groups.google.com/forum/#!forum/python-gnupg
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Update to Python 3 Cheat Sheet

2017-01-30 Thread Laurent Pointal via Python-announce-list
Hi,

I updated the cheat sheet on the aesthetic side. Parts bloc and their title 
are now more easily identified with colors (but its nice with B&W printing 
too).
French and german versions have also been updated.

See https://perso.limsi.fr/pointal/python:memento

A+
L.Pointal.

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ANN: distlib 0.2.5 released on PyPI

2017-05-07 Thread Vinay Sajip via Python-announce-list
I've just released version 0.2.5 of distlib on PyPI [1]. For newcomers,
distlib is a library of packaging functionality which is intended to be
usable as the basis for third-party packaging tools.

The main changes in this release are as follows:

* Changed regular expressions to be compatible with 3.6 as regards escape 
sequences.

* Closed some resource leaks related to XML-RPC proxies.

* Changed wheel processing to look for metadata in metadata.json as well as 
pydist.json.


* Updated requirement and marker parsing to be compatible with PEP 508.
* Made downloadability a factor in scoring URLs for preferences.


* Removed Python 2.6 from the support list. 

A more detailed change log is available at [2].

Please try it out, and if you find any problems or have any suggestions for
improvements, please give some feedback using the issue tracker! [3]

Regards,


Vinay Sajip

[1] https://pypi.python.org/pypi/distlib/0.2.5
[2] https://goo.gl/M3kQzR
[3] https://bitbucket.org/pypa/distlib/issues/new
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ANN: A new version (0.4.1) of python-gnupg has been released.

2017-07-11 Thread Vinay Sajip via Python-announce-list
A new version of the Python module which wraps GnuPG has been released.

What Changed?
=
This is an enhancement and bug-fix release, and all users are encouraged to 
upgrade.
See the project website [1] for more information.

Brief summary:

* Updated message handling logic to no longer raise exceptions when a message 
isn't
  recognised. Thanks to Daniel Kahn Gillmor for the patch.
* Always use always use --fixed-list-mode, --batch and --with-colons. Thanks to 
Daniel
  Kahn Gillmor for the patch.
* Improved scan_keys() handling on GnuPG >= 2.1. Thanks to Daniel Kahn Gillmor 
for the
  patch.
* Improved test behaviour with GnuPG >= 2.1. Failures when deleting test 
directory trees
  are now ignored. Thanks to Daniel Kahn Gillmor for the patch.
* Added close_file keyword argument to verify_file to allow the file closing to 
be made
  optional. Current behaviour is maintained - close_file=False can be passed to 
skip
  closing the file being verified.
* Added the extra_args keyword parameter to allow custom arguments to be passed 
to the
  gpg executable.
* Instances of the GPG class now have an additional on_data attribute, which 
defaults to
  None. It can be set to a callable which will be called with a single argument 
- a binary
  chunk of data received from the gpg executable. The callable can do whatever 
it likes
  with the chunks passed to it - e.g. write them to a separate stream. The 
callable should
  not raise any exceptions (unless it wants the current operation to fail).

This release [2] has been signed with my code signing key:

Vinay Sajip (CODE SIGNING KEY) 
Fingerprint: CA74 9061 914E AC13 8E66 EADB 9147 B477 339A 9B86

What Does It Do?

The gnupg module allows Python programs to make use of the
functionality provided by the Gnu Privacy Guard (abbreviated GPG or
GnuPG). Using this module, Python programs can encrypt and decrypt
data, digitally sign documents and verify digital signatures, manage
(generate, list and delete) encryption keys, using proven Public Key
Infrastructure (PKI) encryption technology based on OpenPGP.

This module is expected to be used with Python versions >= 2.4, as it
makes use of the subprocess module which appeared in that version of
Python. This module is a newer version derived from earlier work by
Andrew Kuchling, Richard Jones and Steve Traugott.

A test suite using unittest is included with the source distribution.

Simple usage:

>>> import gnupg
>>> gpg = gnupg.GPG(gnupghome='/path/to/keyring/directory')
>>> gpg.list_keys()

[{
...
'fingerprint': 'F819EE7705497D73E3CCEE65197D5DAC68F1AAB2',
'keyid': '197D5DAC68F1AAB2',
'length': '1024',
'type': 'pub',
'uids': ['', 'Gary Gross (A test user) ']},
{
...
'fingerprint': '37F24DD4B918CC264D4F31D60C5FEFA7A921FC4A',
'keyid': '0C5FEFA7A921FC4A',
'length': '1024',
...
'uids': ['', 'Danny Davis (A test user) ']}]
>>> encrypted = gpg.encrypt("Hello, world!", ['0C5FEFA7A921FC4A'])
>>> str(encrypted)

'-BEGIN PGP MESSAGE-\nVersion: GnuPG v1.4.9 (GNU/Linux)\n
\nhQIOA/6NHMDTXUwcEAf
.
-END PGP MESSAGE-\n'
>>> decrypted = gpg.decrypt(str(encrypted), passphrase='secret')
>>> str(decrypted)

'Hello, world!'
>>> signed = gpg.sign("Goodbye, world!", passphrase='secret')
>>> verified = gpg.verify(str(signed))
>>> print "Verified" if verified else "Not verified"

'Verified'

As always, your feedback is most welcome (especially bug reports [3],
patches and suggestions for improvement, or any other points via the
mailing list/discussion group [4]).

Please refer to the documentation [5] for more information.

Enjoy!

Cheers

Vinay Sajip
Red Dove Consultants Ltd.

[1] https://bitbucket.org/vinay.sajip/python-gnupg
[2] https://pypi.python.org/pypi/python-gnupg/0.4.1
[3] https://bitbucket.org/vinay.sajip/python-gnupg/issues
[4] https://groups.google.com/forum/#!forum/python-gnupg
[5] https://gnupg.readthedocs.io/en/latest/ 
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ANN: distlib 0.2.6 released on PyPI

2017-10-28 Thread Vinay Sajip via Python-announce-list
I've just released version 0.2.6 of distlib on PyPI [1]. For newcomers,distlib 
is a library of packaging functionality which is intended to beusable as the 
basis for third-party packaging tools.
The main changes in this release are as follows:
* Fixed #99: Updated to handle a case where sys.getfilesystemencoding()  
returns None.
* Fixed #97: Eliminated a crash in EggInfoDistribution.list_distinfo_files()  
which was caused by trying to open a non-existent file.
* Fixed #96: SimpleScrapingLocator no longer fails prematurely when scraping  
links due to invalid versions.
* Improved error messages issued when interpreting markers.
* Improved the shebangs written into installed scripts when the interpreter  
path is very long or contains spaces (to cater for a limitation in shebang  
line parsing on Linux).
* Updated launcher binaries.
A more detailed change log is available at [2].
Please try it out, and if you find any problems or have any suggestions 
forimprovements, please give some feedback using the issue tracker! [3]
Regards,

Vinay Sajip
[1] https://pypi.python.org/pypi/distlib/0.2.6[2] https://goo.gl/M3kQzR[3] 
https://bitbucket.org/pypa/distlib/issues/new

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ANN: A new version (0.4.2) of python-gnupg has been released.

2018-03-28 Thread Vinay Sajip via Python-announce-list
A new version of the Python module which wraps GnuPG has been released. 
What Changed? = This is an enhancement and bug-fix release, and all 
users are encouraged to upgrade. See the project website [1] for more 
information. 
Brief summary: 
* Subkey information is now collected and returned in a subkey_info  dictionary 
keyed by the subkey's ID.
* GPG2 version is now correctly detected on OS X.
* Added expect_passphrase keyword argument for use on GnuPG >= 2.1 when  
passing passphrase to gpg via pinentry.
* Provided a trust_keys method to allow setting the trust level  for keys. 
Thanks to William Foster for a suggested implementation.
* Made the exception message when the gpg executable is not found contain the  
path of the executable that was tried. Thanks to Kostis Anagnostopoulos for  
the suggestion.
* Made the error message less categorical in the case of a failure with an  
unspecified reason, adding some information from gpg error codes when  
available.
This release [2] has been signed with my code signing key: 
Vinay Sajip (CODE SIGNING KEY)  Fingerprint: CA74 9061 
914E AC13 8E66 EADB 9147 B477 339A 9B86 
What Does It Do?  The gnupg module allows Python programs to 
make use of the functionality provided by the Gnu Privacy Guard (abbreviated 
GPG or GnuPG). Using this module, Python programs can encrypt and decrypt data, 
digitally sign documents and verify digital signatures, manage (generate, list 
and delete) encryption keys, using proven Public Key Infrastructure (PKI) 
encryption technology based on OpenPGP. 
This module is expected to be used with Python versions >= 2.4, as it makes use 
of the subprocess module which appeared in that version of Python. This module 
is a newer version derived from earlier work by Andrew Kuchling, Richard Jones 
and Steve Traugott. 
A test suite using unittest is included with the source distribution. 
Simple usage: 
>>> import gnupg >>> gpg = gnupg.GPG(gnupghome='/path/to/keyring/directory') 
>>> >>> gpg.list_keys() 
[{ ... 'fingerprint': 'F819EE7705497D73E3CCEE65197D5DAC68F1AAB2', 'keyid': 
'197D5DAC68F1AAB2', 'length': '1024', 'type': 'pub', 'uids': ['', 'Gary Gross 
(A test user) ']}, { ... 'fingerprint': 
'37F24DD4B918CC264D4F31D60C5FEFA7A921FC4A', 'keyid': '0C5FEFA7A921FC4A', 
'length': '1024', ... 'uids': ['', 'Danny Davis (A test user) ']}] >>> encrypted = gpg.encrypt("Hello, world!", 
['0C5FEFA7A921FC4A']) >>> str(encrypted) 
'-BEGIN PGP MESSAGE-\nVersion: GnuPG v1.4.9 (GNU/Linux)\n 
\nhQIOA/6NHMDTXUwcEAf . -END PGP MESSAGE-\n' >>> decrypted = 
gpg.decrypt(str(encrypted), passphrase='secret') >>> str(decrypted) 
'Hello, world!' >>> signed = gpg.sign("Goodbye, world!", passphrase='secret') 
>>> verified = gpg.verify(str(signed)) >>> print "Verified" if verified else 
"Not verified" 
'Verified' 
As always, your feedback is most welcome (especially bug reports [3], patches 
and suggestions for improvement, or any other points via the mailing 
list/discussion group [4]). 
Please refer to the documentation [5] for more information. 
Enjoy! 
Cheers 
Vinay Sajip Red Dove Consultants Ltd. 
[1] https://bitbucket.org/vinay.sajip/python-gnupg [2] 
https://pypi.python.org/pypi/python-gnupg/0.4.2 [3] 
https://bitbucket.org/vinay.sajip/python-gnupg/issues [4] 
https://groups.google.com/forum/#!forum/python-gnupg [5] 
https://gnupg.readthedocs.io/en/latest/ 
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ANN: distlib 0.2.7 released on PyPI

2018-04-18 Thread Vinay Sajip via Python-announce-list
I've just released version 0.2.7 of distlib on PyPI [1]. For newcomers,
distlib is a library of packaging functionality which is intended to be
usable as the basis for third-party packaging tools.

The main changes in this release are as follows:

* Addressed #102: InstalledDistributions now have a modules attribute which is 
a list
  of top-level modules as read from top_level.txt, if that is in the 
distribution info.

* Fixed #103: Now https downloads are preferred to those over http. Thanks to
  Saulius Žemaitaitis for the patch.

* Fixed #104: Updated launcher binaries to properly handle interpreter paths 
with spaces.
  Thanks to Atsushi Odagiri for the diagnosis and fix.

* Fixed #105: cache_from_source is now imported from importlib.util where 
available.

* Added support for PEP 566 / Metadata 2.1.

A more detailed change log is available at [2].

Please try it out, and if you find any problems or have any suggestions for 
improvements,
please give some feedback using the issue tracker! [3]

Regards,

Vinay Sajip

[1] https://pypi.org/project/distlib/0.2.7/ 
[2] https://goo.gl/M3kQzR
[3] https://bitbucket.org/pypa/distlib/issues/new
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ANN: A new version (0.4.3) of python-gnupg has been released. It contains a security-related change - please update to this version

2018-06-14 Thread Vinay Sajip via Python-announce-list
A new version of the Python module which wraps GnuPG has been released.
What Changed?=This is a security-fix release, and all users are 
strongly encouraged to upgrade.This fix mitigates against CVE-2018-12020. See 
the discoverer's blog post [6] formore information.
Brief summary:

* Added --no-verbose to the gpg command line, in case verbose is specified in  
gpg.conf - we don't need verbose output.
This release [2] has been signed with my code signing key:
Vinay Sajip (CODE SIGNING KEY) Fingerprint: CA74 
9061 914E AC13 8E66 EADB 9147 B477 339A 9B86
Recent changes to PyPI don't show the GPG signature with the download links.An 
alternative download source where the signatures are available is the 
project'sown downloads page [5].
What Does It Do?The gnupg module allows Python programs to make 
use of thefunctionality provided by the Gnu Privacy Guard (abbreviated GPG 
orGnuPG). Using this module, Python programs can encrypt and decryptdata, 
digitally sign documents and verify digital signatures, manage(generate, list 
and delete) encryption keys, using proven Public KeyInfrastructure (PKI) 
encryption technology based on OpenPGP.
This module is expected to be used with Python versions >= 2.4, as itmakes use 
of the subprocess module which appeared in that version ofPython. This module 
is a newer version derived from earlier work byAndrew Kuchling, Richard Jones 
and Steve Traugott.
A test suite using unittest is included with the source distribution.
Simple usage:
>>> import gnupg>>> gpg = gnupg.GPG(gnupghome='/path/to/keyring/directory')>>> 
>>> gpg.list_keys()
[{...'fingerprint': 'F819EE7705497D73E3CCEE65197D5DAC68F1AAB2','keyid': 
'197D5DAC68F1AAB2','length': '1024','type': 'pub','uids': ['', 'Gary Gross (A 
test user) ']},{...'fingerprint': 
'37F24DD4B918CC264D4F31D60C5FEFA7A921FC4A','keyid': 
'0C5FEFA7A921FC4A','length': '1024',...'uids': ['', 'Danny Davis (A test user) 
']}]>>> encrypted = gpg.encrypt("Hello, world!", 
['0C5FEFA7A921FC4A'])>>> str(encrypted)
'-BEGIN PGP MESSAGE-\nVersion: GnuPG v1.4.9 
(GNU/Linux)\n\nhQIOA/6NHMDTXUwcEAf.-END PGP MESSAGE-\n'>>> decrypted = 
gpg.decrypt(str(encrypted), passphrase='secret')>>> str(decrypted)
'Hello, world!'>>> signed = gpg.sign("Goodbye, world!", passphrase='secret')>>> 
verified = gpg.verify(str(signed))>>> print "Verified" if verified else "Not 
verified"
'Verified'
As always, your feedback is most welcome (especially bug reports [3],patches 
and suggestions for improvement, or any other points via themailing 
list/discussion group [4]).
Enjoy!
Cheers
Vinay SajipRed Dove Consultants Ltd.
[1] https://bitbucket.org/vinay.sajip/python-gnupg[2] 
https://pypi.python.org/pypi/python-gnupg/0.4.3[3] 
https://bitbucket.org/vinay.sajip/python-gnupg/issues[4] 
https://groups.google.com/forum/#!forum/python-gnupg[5] 
https://bitbucket.org/vinay.sajip/python-gnupg/downloads/[6] 
https://neopg.io/blog/gpg-signature-spoof/
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ANN: Version 0.1.5 of sarge (a subprocess wrapper library) has been released.

2018-06-18 Thread Vinay Sajip via Python-announce-list
Version 0.1.5 of Sarge, a cross-platform library which wraps the 
subprocessmodule in the standard library, has been released.
What changed?-
- Fixed #37: Instead of an OSError with a "no such file or directory" message,  
a ValueError is raised with a more informative "Command not found" message.
- Fixed #38: Replaced ``async`` keyword argument with ``async_``, as ``async``  
has become a keyword in Python 3.7.
- Fixed #39: Updated tutorial example on progress monitoring.
What does Sarge do?---
Sarge tries to make interfacing with external programs from yourPython 
applications easier than just using subprocess alone.
Sarge offers the following features:
* A simple way to run command lines which allows a rich subset of Bash-style 
shell command syntax, but parsed and run by sarge so that youcan run on Windows 
without cygwin (subject to having those commandsavailable):
>>> from sarge import capture_stdout>>> p = capture_stdout('echo foo | cat; 
>>> echo bar')>>> for line in p.stdout: print(repr(line))...'foo\n''bar\n'
* The ability to format shell commands with placeholders, such thatvariables 
are quoted to prevent shell injection attacks.
* The ability to capture output streams without requiring you toprogram your 
own threads. You just use a Capture object and then youcan read from it as and 
when you want.
* The ability to look for patterns in captured output and to 
interactaccordingly with the child process.
Advantages over subprocess---
Sarge offers the following benefits compared to using subprocess:
* The API is very simple.
* It's easier to use command pipelines - using subprocess out of thebox often 
leads to deadlocks because pipe buffers get filled up.
* It would be nice to use Bash-style pipe syntax on Windows, butWindows shells 
don't support some of the syntax which is useful, like&&, ||, |& and so on. 
Sarge gives you that functionality on Windows,without cygwin.
* Sometimes, subprocess.Popen.communicate() is not flexible enough forone's 
needs - for example, when one needs to process output a line ata time without 
buffering the entire output in memory.
* It's desirable to avoid shell injection problems by having theability to 
quote command arguments safely.
* subprocess allows you to let stderr be the same as stdout, but notthe other 
way around - and sometimes, you need to do that.
Python version and platform 
compatibility-
Sarge is intended to be used on any Python version >= 2.6 and istested on 
Python versions 2.6, 2.7, 3.3, 3.4, 3.5, 3.6 and 3.7 on Linux,Windows, and Mac 
OS X (not all versions are tested on all platforms,but sarge is expected to 
work correctly on all these versions on allthese platforms).
Finding out more
You can read the documentation at
http://sarge.readthedocs.org/
There's a lot more information, with examples, than I can put intothis post.
You can install Sarge using "pip install sarge" to try it out. Theproject is 
hosted on BitBucket at
https://bitbucket.org/vinay.sajip/sarge/
And you can leave feedback on the issue tracker there.
I hope you find Sarge useful!
Regards,
Vinay Sajip
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python-sql 1.0.0 release

2018-10-02 Thread Cédric Krier via Python-announce-list
We are proud to announce the release of the version 1.0.0 of python-sql.

python-sql is a library to write SQL queries in a pythonic way.

In addition to bug-fixes, this release contains those improvements:

Add Flavor filter_ to fallback to case expression
Allow to use expression in AtTimeZone
Add comparison predicates
Add COLLATE

python-sql is available on PyPI: https://pypi.org/project/python-sql/1.0.0/
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relatorio 0.8.1

2018-10-02 Thread Cédric Krier via Python-announce-list
We are glade to announce the release 0.8.1 of relatorio.
Relatorio is a templating library which provides a way to easily output several 
kinds of files (odt, ods, png, svg, …).

It is a bug-fix release which includes:

Add support for Python 3.7
Escape invalid XML characters
Enforce closing tag to be the same directive as the opening
Use compression for zip file
Write mimetype as first file of the zip file

The package is available on https://pypi.org/project/relatorio/0.8.1/
The document is available on https://relatorio.readthedocs.io/en/0.8.1/
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ANN: distlib 0.2.8 released on PyPI

2018-10-02 Thread Vinay Sajip via Python-announce-list
I've recently released version 0.2.8 of distlib on PyPI [1]. For 
newcomers,distlib is a library of packaging functionality which is intended to 
beusable as the basis for third-party packaging tools.
The main changes in this release are as follows:
* Fixed #107: Updated documentation on testing to include information on  
setting PYTHONHASHSEED.
* Fixed #108: Updated metadata scan to look for the METADATA file as well as 
the  JSON formats.
* Fixed #109: Removed existing files (which might have been symlinks) before  
overwriting.
* Fixed #111: Avoided unnecessary newlines in script preambles, which caused  
problems with detecting encoding declarations. Thanks to Wim Glenn for the  
report and patch.
* Fixed #112: Handled wheel tags and platform-dependent downloads correctly in  
SimpleScrapingLocator.
A more detailed change log is available at [2].
Please try it out, and if you find any problems or have any suggestions for 
improvements,please give some feedback using the issue tracker! [3]
Regards,
Vinay Sajip
[1] https://pypi.org/project/distlib/0.2.8/[2] https://goo.gl/tVzKUc[3] 
https://bitbucket.org/pypa/distlib/issues/new
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Introducing NimbusML - experimental Python bindings for ML.NET

2018-11-05 Thread Gani Nazirov via Python-announce-list
We are excited to announce that yesterday we released and open sourced 
NimbusML<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FMicrosoft%2FNimbusML&data=02%7C01%7Cganaziro%40microsoft.com%7C0c37bb14ad3545d507c008d6410025dc%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636767866514956851&sdata=1irzCc9xFFC0OID4SNpVniylBH7dxjgIXCv2L8pT01E%3D&reserved=0>
 ! This project provides experimental Python bindings for 
ML.NET<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fdotnet%2Fmachinelearning&data=02%7C01%7Cganaziro%40microsoft.com%7C0c37bb14ad3545d507c008d6410025dc%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636767866514966861&sdata=CA6yPTUsjOjnHhEkXpugahOPgg%2BVRYusE%2B%2BI%2FiQmyuI%3D&reserved=0>
 (an open source and cross-platform machine learning framework for .NET)


NimbusML allows you to build ML.NET pipelines in Python and also integrate them 
into Scikit-Learn pipelines.



Highlights



· Cross-platform: NimbusML is supported on Mac, Linux, and Windows.

· Efficient interop with Scikit-learn/Pandas: NimbusML can accept 
Pandas dataframes as input and its components can also be used within 
Scikit-learn pipelines.

· Majority of ML.NET components are available: Most ML.NET components 
can be used through NimbusML.

· Performance parity with ML.NET: When using only NimbusML components 
(loaders, transforms, scorers, and evaluators), NimbusML performance matches 
ML.NET performance.

· Familiar APIs for Scikit-learn users: NimbusML adheres to existing 
Scikit-learn conventions but also introduces some new concepts such as how to 
work with multiple columns in the pipelines.

· Open-source: NimbusML will be built in the open and we encourage any 
non-confidential issues/questions to be added on GitHub. Please let us know if 
you are interested in contributing.

· Interop with ML.NET models: models trained in NimbusML can be 
deployed in .NET applications using ML.NET (see 
here<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.microsoft.com%2Fen-us%2FNimbusML%2Floadsavemodels&data=02%7C01%7Cganaziro%40microsoft.com%7C0c37bb14ad3545d507c008d6410025dc%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636767866514976865&sdata=WRAvv8XWuUs%2BSQvAHwGj8eP1XXOrgwKbkWSmhV5ipyo%3D&reserved=0>
 for an example).



Click here to view the NimbusML 
repo.<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FMicrosoft%2FNimbusML&data=02%7C01%7Cganaziro%40microsoft.com%7C0c37bb14ad3545d507c008d6410025dc%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636767866514976865&sdata=%2FmjPQoZIildRuLJPocDTlMf0Xn65yAyn9R7oNUveNYw%3D&reserved=0>

Click here to view the NimbusML 
samples.<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FMicrosoft%2FNimbusML-samples&data=02%7C01%7Cganaziro%40microsoft.com%7C0c37bb14ad3545d507c008d6410025dc%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636767866514986870&sdata=LJVm0IQClk4IgFmkpJbGsFp0r%2BZwSKpRALWA4T3QVN8%3D&reserved=0>

Click here to view the NimbusML 
docs.<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.microsoft.com%2Fen-us%2FNimbusML%2Foverview&data=02%7C01%7Cganaziro%40microsoft.com%7C0c37bb14ad3545d507c008d6410025dc%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636767866514986870&sdata=jcgvpNNckRDO0bsGhgYD%2BVesxVHie3hU5doRQ7VfR7A%3D&reserved=0>



Installation



NimbusML can be installed using pip:

pip install nimbusml




You can run a quick test with:

python -m nimbusml.examples.FastLinearClassifier




NimbusML has been tested on Windows 10, MacOS 10.13, Ubuntu 14.04, Ubuntu 
16.04, Ubuntu 18.04, CentOS 7, and RHEL 7.



NimbusML requires Python 2.7, 3.5, or 3.6 (64 bit). Python 3.7 is not supported 
yet.



Getting Started



Documentation can be found 
here<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.microsoft.com%2Fen-us%2FNimbusML%2Foverview&data=02%7C01%7Cganaziro%40microsoft.com%7C0c37bb14ad3545d507c008d6410025dc%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636767866514996884&sdata=RboJY%2B%2FkznoN0g1ecoE0neZ4UeEKLvAIsIoFKDPID4I%3D&reserved=0>.
 Sample notebooks can be found 
here<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FMicrosoft%2FNimbusML-Samples&data=02%7C01%7Cganaziro%40microsoft.com%7C0c37bb14ad3545d507c008d6410025dc%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636767866514996884&sdata=tIRDpTjIv2ZrKoxzMwYAsUCFumzgqKChnpsJCsmtK1c%3D&reserved=0>.
 A few examples:



· Twitter Sentiment 
Analysis<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.microsoft.com%2Fen-us%2FNimbusML%2Ftutorials%2Fb_b-sentiment-analysis-2-data-streaming-with-filedatastream&data=02%7C01%7Cganaziro%40microsoft.com%7C0c37bb14ad3545d507c008d6410025d

ANN: A new version (0.4.4) of python-gnupg has been released. It contains a security-related change - please update to this version

2019-01-25 Thread Vinay Sajip via Python-announce-list
A new version of the Python module which wraps GnuPG has been released.
What Changed?=This is an enhancement and security-fix release, and 
all users are stronglyencouraged to upgrade.
Brief summary:
* Fixed #108: Changed how any return value from the on_data callable is  
processed. In earlier versions, the return value was ignored. In this version,  
if the return value is False, the data received from gpg is not  buffered. 
Otherwise (if the value is None or True, for example), the  data is buffered as 
normal. This functionality can be used to do your own  buffering, or to prevent 
buffering altogether.
  The on_data callable is also called once with an empty byte-string to  signal 
the end of data from gpg.
* Fixed #97: Added an additional attribute check_fingerprint_collisions to  GPG 
instances, which defaults to False. It seems that gpg is happy  to have 
duplicate keys and fingerprints in a keyring, so we can't be too  strict. A 
user can set this attribute of an instance to True to trigger a  check for 
collisions.
* Fixed #111: With GnuPG 2.2.7 or later, provide the fingerprint of a signing  
key for a failed signature verification, if available.
* Fixed #21: For verification where multiple signatures are involved, a  
mapping of signature_ids to fingerprint, keyid, username, creation date,  
creation timestamp and expiry timestamp is provided.
* Added a check to disallow certain control characters ('\r', '\n', NUL) in  
passphrases. This fix mitigates against CVE-2019-6690.
This release [2] has been signed with my code signing key:
Vinay Sajip (CODE SIGNING KEY) Fingerprint: CA74 
9061 914E AC13 8E66 EADB 9147 B477 339A 9B86
Recent changes to PyPI don't show the GPG signature with the download links.An 
alternative download source where the signatures are available is the 
project'sown downloads page [5].
What Does It Do?====The gnupg module allows Python programs to make 
use of thefunctionality provided by the Gnu Privacy Guard (abbreviated GPG 
orGnuPG). Using this module, Python programs can encrypt and decryptdata, 
digitally sign documents and verify digital signatures, manage(generate, list 
and delete) encryption keys, using proven Public KeyInfrastructure (PKI) 
encryption technology based on OpenPGP.
This module is expected to be used with Python versions >= 2.4, as itmakes use 
of the subprocess module which appeared in that version ofPython. This module 
is a newer version derived from earlier work byAndrew Kuchling, Richard Jones 
and Steve Traugott.
A test suite using unittest is included with the source distribution.
Simple usage:
>>> import gnupg>>> gpg = gnupg.GPG(gnupghome='/path/to/keyring/directory')>>> 
>>> gpg.list_keys()
[{...'fingerprint': 'F819EE7705497D73E3CCEE65197D5DAC68F1AAB2','keyid': 
'197D5DAC68F1AAB2','length': '1024','type': 'pub','uids': ['', 'Gary Gross (A 
test user) ']},{...'fingerprint': 
'37F24DD4B918CC264D4F31D60C5FEFA7A921FC4A','keyid': 
'0C5FEFA7A921FC4A','length': '1024',...'uids': ['', 'Danny Davis (A test user) 
']}]>>> encrypted = gpg.encrypt("Hello, world!", 
['0C5FEFA7A921FC4A'])>>> str(encrypted)
'-BEGIN PGP MESSAGE-\nVersion: GnuPG v1.4.9 
(GNU/Linux)\n\nhQIOA/6NHMDTXUwcEAf.-END PGP MESSAGE-\n'>>> decrypted = 
gpg.decrypt(str(encrypted), passphrase='secret')>>> str(decrypted)
'Hello, world!'>>> signed = gpg.sign("Goodbye, world!", passphrase='secret')>>> 
verified = gpg.verify(str(signed))>>> print "Verified" if verified else "Not 
verified"
'Verified'
As always, your feedback is most welcome (especially bug reports [3],patches 
and suggestions for improvement, or any other points via themailing 
list/discussion group [4]).
Enjoy!
Cheers
Vinay SajipRed Dove Consultants Ltd.
[1] https://bitbucket.org/vinay.sajip/python-gnupg[2] 
https://pypi.python.org/pypi/python-gnupg/0.4.4[3] 
https://bitbucket.org/vinay.sajip/python-gnupg/issues[4] 
https://groups.google.com/forum/#!forum/python-gnupg[5] 
https://bitbucket.org/vinay.sajip/python-gnupg/downloads/
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ANN: distlib 0.2.9 released on PyPI

2019-05-19 Thread Vinay Sajip via Python-announce-list
I've recently released version 0.2.9 of distlib on PyPI [1]. For 
newcomers,distlib is a library of packaging functionality which is intended to 
beusable as the basis for third-party packaging tools.
The main changes in this release are as follows:
* Updated default PyPI URL to https://pypi.org/pypi.
* Relaxed metadata format checks to ignore 'Provides'.
* Fixed #33, #34: simplified script template.
* Fixed #115: Relaxed check for '..' in wheel archive entries by not  checking 
filename parts, only directory segments.
* Fixed #116: Corrected parsing of credentials from URLs.
* Fixed #122: Skipped entries in archive entries ending with '/' (directories)  
when verifying or installing.
* Commented out Disqus comment section in documentation.
A more detailed change log is available at [2].
Please try it out, and if you find any problems or have any suggestions for 
improvements,please give some feedback using the issue tracker! [3]
Regards,
Vinay Sajip
[1] https://pypi.org/project/distlib/0.2.9/[2] 
https://distlib.readthedocs.io/en/latest/overview.html#change-log-for-distlib[3]
 https://bitbucket.org/pypa/distlib/issues/new

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ANN: A new version (0.4.5) of python-gnupg has been released.

2019-08-12 Thread Vinay Sajip via Python-announce-list
A new version of the Python module which wraps GnuPG has been released.
What Changed?=
This is an enhancement and bug-fix release, and all users are encouraged 
toupgrade.
Brief summary:
* Fixed #107: Improved documentation.
* Fixed #112: Raised a ValueError if a gnupghome is specified which is not an  
existing directory.
* Fixed #113: Corrected stale link in the documentation.
* Fixed #116: Updated documentation to clarify when spurious key-expired/  
signature-expired messages might be seen.
* Fixed #119: Added --yes to avoid pinentry when deleting secret keys with  
GnuPG >= 2.1.
* A warning is logged if gpg returns a non-zero return code.
* Added ``extra_args`` to ``import_keys``.
* Added support for CI using AppVeyor.
This release [2] has been signed with my code signing key:
Vinay Sajip (CODE SIGNING KEY) Fingerprint: CA74 
9061 914E AC13 8E66 EADB 9147 B477 339A 9B86
Recent changes to PyPI don't show the GPG signature with the download links.An 
alternative download source where the signatures are available is the 
project'sown downloads page [5].
What Does It Do?The gnupg module allows Python programs to make 
use of thefunctionality provided by the Gnu Privacy Guard (abbreviated GPG 
orGnuPG). Using this module, Python programs can encrypt and decryptdata, 
digitally sign documents and verify digital signatures, manage(generate, list 
and delete) encryption keys, using proven Public KeyInfrastructure (PKI) 
encryption technology based on OpenPGP.
This module is expected to be used with Python versions >= 2.4, as itmakes use 
of the subprocess module which appeared in that version ofPython. This module 
is a newer version derived from earlier work byAndrew Kuchling, Richard Jones 
and Steve Traugott.
A test suite using unittest is included with the source distribution.
Simple usage:
>>> import gnupg>>> gpg = gnupg.GPG(gnupghome='/path/to/keyring/directory')>>> 
>>> gpg.list_keys()
[{...'fingerprint': 'F819EE7705497D73E3CCEE65197D5DAC68F1AAB2','keyid': 
'197D5DAC68F1AAB2','length': '1024','type': 'pub','uids': ['', 'Gary Gross (A 
test user) ']},{...'fingerprint': 
'37F24DD4B918CC264D4F31D60C5FEFA7A921FC4A','keyid': 
'0C5FEFA7A921FC4A','length': '1024',...'uids': ['', 'Danny Davis (A test user) 
']}]>>> encrypted = gpg.encrypt("Hello, world!", 
['0C5FEFA7A921FC4A'])>>> str(encrypted)
'-BEGIN PGP MESSAGE-\nVersion: GnuPG v1.4.9 
(GNU/Linux)\n\nhQIOA/6NHMDTXUwcEAf.-END PGP MESSAGE-\n'>>> decrypted = 
gpg.decrypt(str(encrypted), passphrase='secret')>>> str(decrypted)
'Hello, world!'>>> signed = gpg.sign("Goodbye, world!", passphrase='secret')>>> 
verified = gpg.verify(str(signed))>>> print "Verified" if verified else "Not 
verified"
'Verified'
As always, your feedback is most welcome (especially bug reports [3],patches 
and suggestions for improvement, or any other points via themailing 
list/discussion group [4]).
Enjoy!
Cheers
Vinay SajipRed Dove Consultants Ltd.
[1] https://bitbucket.org/vinay.sajip/python-gnupg[2] 
https://pypi.org/project/python-gnupg/0.4.5[3] 
https://bitbucket.org/vinay.sajip/python-gnupg/issues[4] 
https://groups.google.com/forum/#!forum/python-gnupg[5] 
https://bitbucket.org/vinay.sajip/python-gnupg/downloads/--
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ANN: distlib 0.3.0 released on PyPI

2019-10-29 Thread Vinay Sajip via Python-announce-list
I've recently released version 0.3.0 of distlib on PyPI [1]. For 
newcomers,distlib is a library of packaging functionality which is intended to 
beusable as the basis for third-party packaging tools.
The main changes in this release are as follows:
* Partially addressed #102: modules attribute of InstalledDistribution was  
incorrectly computed as a list of bytes, rather than a list of str. This  has 
now been corrected.
* Updated Locator._get_digest to check PyPI JSON responses for a "digests"  
dictionary before trying "algo_digest" keys. Thanks to Jeffery To for the  
patch.
* Fixed #123: Improved error message if a resource isn't found.
* Fixed #124: Stopped norm-casing the executable written into shebangs, as  it 
doesn't work for some non-ASCII paths.
* Fixed #125: Updated launchers with versions that correctly report errors  
containing non-ASCII characters. The updated launchers now also support  
relative paths (see http://bit.ly/2JxmOoi for more information).
* Fixed #127: Allowed hyphens in flags in export specifications.
* Changed Python version handling to accommodate versions like e.g. 3.10  (no 
longer assume a version X.Y where X and Y are single digits).
A more detailed change log is available at [2].
Please try it out, and if you find any problems or have any suggestions for 
improvements,please give some feedback using the issue tracker! [3]
Regards,
Vinay Sajip
[1] https://pypi.org/project/distlib/0.3.0/[2] 
https://distlib.readthedocs.io/en/0.3.0/[3] 
https://bitbucket.org/pypa/distlib/issues/new
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Re: ANN: distlib 0.3.0 released on PyPI

2019-10-30 Thread Vinay Sajip via Python-announce-list
It looks as if a couple of the above links got corrupted during transmission, 
so the link behind the text is not what it seems to be (it includes a couple of 
extra characters from the following footnote). Try these:

https://pypi.org/project/distlib/0.3.0/

https://distlib.readthedocs.io/en/0.3.0/

Regards,

Vinay Sajip
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ANN: distlib 0.3.1 released on PyPI

2020-06-28 Thread Vinay Sajip via Python-announce-list
I've recently released version 0.3.1 of distlib on PyPI [1]. For newcomers,
distlib is a library of packaging functionality which is intended to be
usable as the basis for third-party packaging tools.

The main changes in this release are as follows:

* Fixed #132: Added documentation to help with relative interpreter paths. 
Thanks
  to Paul Kienzle for the patch.

* Fixed #134: Allowed specifying a different target Python version when 
generating
  scripts.

* Fixed #135: Exposed the ``enquote_executable`` function previously implemented
  as an internal function.

* Addressed #138: Improved metadata support for newer metadata versions. Thanks 
to
  James Tocknell for the patch.

* Changed the output of flags in entry point definitions in wheels. Thanks to
  frostming (明希) for the patch.

* Stopped writing JSON metadata. Only old-style metadata is written now.

A more detailed change log is available at [2].

Please try it out, and if you find any problems or have any suggestions for 
improvements,
please give some feedback using the issue tracker! [3]

Note: Mailman3 might mishandle some of the links below. In that case, just copy 
and
paste the links into your browser address bar - that should work.

Regards,

Vinay Sajip

[1] https://pypi.org/project/distlib/0.3.1/
[2] https://distlib.readthedocs.io/en/0.3.1/
[3] https://bitbucket.org/pypa/distlib/issues/new
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ANN: Version 0.1.6 of sarge (a subprocess wrapper library) has been released.

2020-08-24 Thread Vinay Sajip via Python-announce-list
Version 0.1.6 of Sarge, a cross-platform library which wraps the subprocess
module in the standard library, has been released.

What changed?
-

- Fixed #44: Added an optional timeout to Command.wait() and Pipeline.wait(), 
which
  only takes effect on Python >= 3.3.

- Fixed #47: Added the ``replace_env`` keyword argument which allows a complete
  replacement for ``os.environ`` to be passed.

- Fixed #51: Improved error handling around a Popen call.

What does Sarge do?
---

Sarge tries to make interfacing with external programs from your
Python applications easier than just using subprocess alone.

Sarge offers the following features:

* A simple way to run command lines which allows a rich subset of Bash-
style shell command syntax, but parsed and run by sarge so that you
can run on Windows without cygwin (subject to having those commands
available):

>>> from sarge import capture_stdout
>>> p = capture_stdout('echo foo | cat; echo bar')
>>> for line in p.stdout: print(repr(line))
...
'foo\n'
'bar\n'

* The ability to format shell commands with placeholders, such that
variables are quoted to prevent shell injection attacks.

* The ability to capture output streams without requiring you to
program your own threads. You just use a Capture object and then you
can read from it as and when you want.

* The ability to look for patterns in captured output and to interact
accordingly with the child process.

Advantages over subprocess
---

Sarge offers the following benefits compared to using subprocess:

* The API is very simple.

* It's easier to use command pipelines - using subprocess out of the
box often leads to deadlocks because pipe buffers get filled up.

* It would be nice to use Bash-style pipe syntax on Windows, but
Windows shells don't support some of the syntax which is useful, like
&&, ||, |& and so on. Sarge gives you that functionality on Windows,
without cygwin.

* Sometimes, subprocess.Popen.communicate() is not flexible enough for
one's needs - for example, when one needs to process output a line at
a time without buffering the entire output in memory.

* It's desirable to avoid shell injection problems by having the
ability to quote command arguments safely.

* subprocess allows you to let stderr be the same as stdout, but not
the other way around - and sometimes, you need to do that.

Python version and platform compatibility
-----

Sarge is intended to be used on any Python version >= 2.6 and is
tested on Python versions 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, 3.7 and 3.8 on Linux,
Windows, and Mac OS X (not all versions are tested on all platforms,
but sarge is expected to work correctly on all these versions on all
these platforms).

Finding out more


You can read the documentation at

http://sarge.readthedocs.org/

There's a lot more information, with examples, than I can put into
this post.

You can install Sarge using "pip install sarge" to try it out. The
project is hosted on BitBucket at

https://bitbucket.org/vinay.sajip/sarge/

And you can leave feedback on the issue tracker there.

I hope you find Sarge useful!

Regards,

Vinay Sajip
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[Python-announce] PyCon Estonia 2023: Call for papers

2023-03-29 Thread Kreete Mi Rand via Python-announce-list
[image: fallback.png]

PyCon Estonia 2023 is coming again!


I am writing to invite you to submit a proposal for PyCon Estonia 2023, the
annual conference to promote and educate people about the Python
programming language. We aim to have our biggest, most international and
diverse conference to date, and we believe your expertise and experience
would be valuable to our program.


The PyCon 2023 conference will take place on the *7th and 8th of September*
at Tallinn University, and all speakers are expected to present their
topics in person.


We are currently accepting proposals for talks, workshops and lightning
talks until the deadline on *21st April 2023*. All talks will be in
English, and we welcome speakers of all experience levels and backgrounds
to contribute. As a speaker, your talk and your slides must follow our Code
of Conduct, ensuring that all content is appropriate for a professional
audience.


We have different types of talks available to choose from, including
keynote talks, regular talks, lightning talks and workshops. You can find
more information about each type of talk in the guidelines section of our
call for papers
<https://pyconestonia.typeform.com/to/hBOEtTQ3?typeform-source=pycon.ee>.


We want the focus of the conference to be around the Python ecosystem,
however, we are still welcoming talks on other relevant topics, such as
Python challenges, outstanding packages, security, automation, AI/ML, web
development, IoT, mental health for developers, and conducive work
environment for coding.


Speakers do not have to purchase a ticket and get free access to the whole
conference. If you have bought a ticket in advance before being accepted,
we will refund it.


Please feel free to contact us at i...@pythonestonia.ee or directly by
replying to this email if you have any questions or concerns about your
topic or the call for papers in general.


Looking forward to your submission!

-- 
Kreete Mi Rand

Marketing Specialist

Python Estonia
[image: website] pycon.ee
[image: address] Mäealuse 2/1, 12618, Estonia
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[Python-announce] [Release] Kedro 0.18.8 🔶

2023-05-04 Thread Juan Luis Cano via Python-announce-list
Hi all,

It fills us with astronomical joy to announce the release of Kedro 0.18.8! 🔶

Kedro is an open source, opinionated Python framework for creating 
reproducible, maintainable and modular data science code. It reduces technical 
debt when moving prototypes into production by providing a declarative data 
catalog, a solid project template, plumbing for creating data pipelines, and 
more. It features a rich ecosystem of plugins and third-party datasets and is 
currently an incubation-stage project of the LF AI & Data Foundation.

You can install it using pip or conda/[micro]mamba:

```
pip install kedro
conda/[micro]mamba install kedro --channel conda-forge
```

This release brought support for a new `KEDRO_LOGGING_CONFIG` environment 
variable to configure logging, better reproducibility for `kedro run`, lots of 
documentation improvements, and much more. For existing users, note that 
`kedro.extras.datasets` is deprecated in favor of the separate `kedro_datasets` 
package.

You can read the full release notes online:

https://github.com/kedro-org/kedro/blob/main/RELEASE.md#release-0188

If you want to know more, you can subscribe to our YouTube channel, follow us 
on the Fediverse or join our community in Slack:

https://youtube.com/@kedro-python
https://social.lfx.dev/@kedro
https://slack.kedro.org/

Happy pipelining!

--
Cano Rodríguez, Juan Luis
Developer Advocate at QuantumBlack Labs
Pronouns: he/him/his
McKinsey & Company
M +34 686 75 72 97


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[Python-announce] [Release] Kedro 0.18.9

2023-06-01 Thread Juan Luis Cano via Python-announce-list
Hi all,
It fills us with astronomical joy to announce the release of Kedro 0.18.9! 🔶
Kedro is an open source, opinionated Python framework for creating 
reproducible, maintainable and modular data science code. It reduces technical 
debt when moving prototypes into production by providing a declarative data 
catalog, a solid project template, plumbing for creating data pipelines, and 
more. It features a rich ecosystem of plugins and third-party datasets and is 
currently an incubation-stage project of the LF AI & Data Foundation.
You can install it using pip or conda/[micro]mamba:
```
pip install kedro
conda/[micro]mamba install kedro --channel conda-forge
```
In this release, we added support for a metadata attribute in datasets, 
introduced a new `kedro.logging.RichHandler` that is more flexible and 
configurable, and fixed some bugs with `OmegaConfigLoader`. We also added 
substantial improvements to our deployment docs, and we keep making progress 
towards following modern Python packaging standards.

You can read the full release notes online:
https://github.com/kedro-org/kedro/blob/main/RELEASE.md#release-0189
If you want to know more, you can watch our recent workshop “Refactor your 
Jupyter notebooks ​using Kedro​” on YouTube:

https://youtu.be/qClSGY6B0r0

Follow us on the Fediverse and join our community in Slack:
https://social.lfx.dev/@kedro
https://slack.kedro.org/
Happy pipelining!

--
Cano Rodríguez, Juan Luis
Developer Advocate at QuantumBlack Labs
Pronouns: he/him/his
McKinsey & Company
M +34 686 75 72 97

+=+
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[Python-announce] [Release] Kedro 0.18.11 🔶

2023-07-03 Thread Juan Luis Cano via Python-announce-list
Hi all,

It fills us with astronomical joy to announce the release of Kedro 0.18.11! 🔶

Kedro is an open source, orchestrator-agnostic Python framework for creating 
reproducible, maintainable and modular data science code. It reduces technical 
debt when moving prototypes into production by providing a declarative data 
catalog, a solid project template, plumbing for creating data pipelines, and 
more. It features a rich ecosystem of plugins and third-party datasets and is 
currently an incubation-stage project of the LF AI & Data Foundation.

You can install it using pip or conda/[micro]mamba:

```
pip install kedro==0.18.11
conda/[micro]mamba install kedro=0.18.11 --channel conda-forge
```

In this release, we added added a new `databricks-iris` official starter and 
significantly improved the documentation around Databricks deployments. We also 
fixed some bugs around micropackaging and remote datasets, updated the 
documentation for Prefect 2.0, and deprecated some class names.

You can read the full release notes online:

https://github.com/kedro-org/kedro/blob/main/RELEASE.md#release-01811

If you want to know more, you can watch our recent workshop “Refactor your 
Jupyter notebooks using Kedro ” on YouTube:

https://youtu.be/qClSGY6B0r0

Follow us on the Fediverse and join our community in Slack:

https://social.lfx.dev/@kedro
https://slack.kedro.org/

Happy pipelining!

--
Cano Rodríguez, Juan Luis
Principal Product Manager & Lead Developer Advocate
QuantumBlack, AI by McKinsey
Pronouns: he/him/his
M +34 686 75 72 97


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pvlib v0.7.2

2020-04-22 Thread Stark, Cameron Thomas via Python-announce-list
pvlib has a new minor release, v0.7.2

Release Notes: https://pvlib-python.readthedocs.io/en/v0.7.2/whatsnew.html

PyPI:  https://pypi.org/project/pvlib/

Read the Docs:  https://pvlib-python.readthedocs.io/en/latest/

GitHub:  https://github.com/pvlib/pvlib-python

Highlights:
   - add new module pvlib.snow to contain models related to snow coverage and 
effects on a PV system. (GH764<https://github.com/pvlib/pvlib-python/pull/764>)
   - Renamed pvlib.losses to pvlib.soiling. Additional loss models will go into 
code modules named for the loss or effect type. 
(GH935<https://github.com/pvlib/pvlib-python/issues/935>, 
GH891<https://github.com/pvlib/pvlib-python/issues/891>)
   - updated compatibility with cftime 1.1. 
(GH895<https://github.com/pvlib/pvlib-python/issues/895>)

There are a few breaking API changes and bug fixes.
Users are advised to read the release notes before updating.
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