[This announcement is in German since it targets a Python sprint in
Düsseldorf, Germany]
________________________________________________________________________
ANKÜNDIGUNG
PyDDF Python Sprint 2016
in Düsseldorf
Samstag, 19.11.2016, 10:00-18:00 Uhr
Sonntag, 20.11.2016, 10:00-18:00 Uhr
trivago GmbH, Karl-Arnold-Platz 1A, 40474 Düsseldorf
Python Meeting Düsseldorf
http://pyddf.de/sprint2016/
________________________________________________________________________
INFORMATION
Das Python Meeting Düsseldorf (PyDDF) veranstaltet mit freundlicher
Unterstützung der *trivago GmbH* ein Python Sprint Wochenende im
September.
Der Sprint findet am Wochenende 19./20.11.2016 in der trivago
Niederlassung am Karl-Arnold-Platz 1A statt (nicht am Bennigsen-Platz
1). Bitte beim Pförtner melden.
Google Maps:
https://www.google.de/maps/dir/51.2452741,6.7711581//@51.2450432,6.7714612,…
Folgende Themengebiete haben wir als Anregung angedacht:
* Openpyxl
Openpyxl ist eine Python Bibliothek, mit der man Excel 2010+
Dateien lesen und schreiben kann.
Charlie ist Co-Maintainer des Pakets.
* MicroPython auf ESP8266 und BBC micro:bit
MicroPython ist eine Python 3 Implementierung für Micro
Controller. Sie läuft u.a. auf dem BBC micro:bit, einem
Ein-Patinen-Computer, der in Großbritanien an Kinder der 7. Klassen
verteilt wurde, und dem mittlerweile sehr populären IoT Chip
ESP8266, der WLAN unterstützt.
Im Sprint wollen wir versuchen, ein Mesh Network aus BBC micro:bits
aufzubauen, das dann an einen ESP8266 mit dem WLAN verbunden
wird. Alles mit Hilfe von MicroPython.
Vorkenntnisse sind eigentlich keine nötig. Wir werden mindestens
einen ESP8266 und drei BBC micro:bits zur Verfügung haben.
Natürlich kann jeder Teilnehmer weitere Themen vorschlagen, z.B.
* Kivy
* Raspberry Pi
* FritzConnection
* OpenCV
* u.a.
Alles weitere und die Anmeldung findet Ihr auf der Sprint Seite:
http://pyddf.de/sprint2016/
Teilnehmer sollten sich zudem auf der PyDDF Liste anmelden, da wir
uns dort koordinieren:
https://www.egenix.com/mailman/listinfo/pyddf
________________________________________________________________________
ÜBER UNS
Das Python Meeting Düsseldorf (PyDDF) ist eine regelmäßige Veranstaltung
in Düsseldorf, die sich an Python Begeisterte aus der Region wendet:
* http://pyddf.de/
Einen guten Überblick über die Vorträge bietet unser YouTube-Kanal,
auf dem wir die Vorträge nach den Meetings veröffentlichen:
* http://www.youtube.com/pyddf/
Veranstaltet wird das Meeting von der eGenix.com GmbH, Langenfeld,
in Zusammenarbeit mit Clark Consulting & Research, Düsseldorf:
* http://www.egenix.com/
* http://www.clark-consulting.eu/
Mit freundlichen Grüßen,
--
Marc-Andre Lemburg
eGenix.com
Professional Python Services directly from the Experts (#1, Nov 08 2016)
>>> Python Projects, Coaching and Consulting ... http://www.egenix.com/
>>> Python Database Interfaces ... http://products.egenix.com/
>>> Plone/Zope Database Interfaces ... http://zope.egenix.com/
________________________________________________________________________
::: We implement business ideas - efficiently in both time and costs :::
eGenix.com Software, Skills and Services GmbH Pastor-Loeh-Str.48
D-40764 Langenfeld, Germany. CEO Dipl.-Math. Marc-Andre Lemburg
Registered at Amtsgericht Duesseldorf: HRB 46611
http://www.egenix.com/company/contact/http://www.malemburg.com/
I'm happy to announce that a new major version of Celery has been released!
To see the complete list of changes go here:
[http://docs.celeryproject.org/en/latest/whatsnew-4.0.html](https://link.nyl…
.com/link/c6kbuz4icejw17oc3qqi6syrm/local-d891639d-1557/0?redirect=http%3A%2F%
2Fdocs.celeryproject.org%2Fen%2Flatest%2Fwhatsnew-4.0.html&r=cHl0aG9uLWFubm91b
mNlLWxpc3RAcHl0aG9uLm9yZw==)
This is a massive release with over two years of changes.
Not only does it come with many new features, but it also fixes
a massive list of bugs, so in many ways you could call it
our "Snow Leopard" release.
The next major version of Celery will support Python 3.5 only, were
we are planning to take advantage of the new asyncio library.
This release would not have been possible without the support
of my employer, Robinhood (we're hiring!
[http://robinhood.com](https://link.nylas.com/link/c6kbuz4icejw17oc3qqi6syrm
/local-d891639d-1557/1?redirect=http%3A%2F%2Frobinhood.com&r=cHl0aG9uLWFubm91b
mNlLWxpc3RAcHl0aG9uLm9yZw==)).
It's important that you read the "What's new in Celery 4.0" document
before you upgrade, and since the list of changes is far too big to put in an
email
you have to visit the documentation:
[http://docs.celeryproject.org/en/latest/whatsnew-4.0.html](https://link.nyl…
.com/link/c6kbuz4icejw17oc3qqi6syrm/local-d891639d-1557/2?redirect=http%3A%2F%
2Fdocs.celeryproject.org%2Fen%2Flatest%2Fwhatsnew-4.0.html&r=cHl0aG9uLWFubm91b
mNlLWxpc3RAcHl0aG9uLm9yZw==)
Thank you for your support,
\--
[ Ask Solem - github.com/ask | twitter.com/asksol ]
Hello all,
I'm glad to announce the release of psutil 5.0.0:
https://github.com/giampaolo/psutil
This release introduces important speedups making psutil from 2x to 6x
faster depending on what platform you're on.
A full blog post can be found here:
http://grodola.blogspot.com/2016/11/psutil-500-is-around-twice-as-fast.html
About
=====
psutil (process and system utilities) is a cross-platform library for
retrieving information on running processes and system utilization (CPU,
memory, disks, network) in Python. It is useful mainly for system
monitoring, profiling and limiting process resources and management of
running processes. It implements many functionalities offered by command
line tools such as: ps, top, lsof, netstat, ifconfig, who, df, kill, free,
nice, ionice, iostat, iotop, uptime, pidof, tty, taskset, pmap. It
currently supports Linux, Windows, OSX, Sun Solaris, FreeBSD, OpenBSD and
NetBSD, both 32-bit and 64-bit architectures, with Python versions from 2.6
to 3.5 (users of Python 2.4 and 2.5 may use 2.1.3 version). PyPy is also
known to work.
What's new
==========
*2016-11-06*
**Enhncements**
- #799: new Process.oneshot() context manager making Process
methods around +2x faster in general and from +2x to +6x faster on
Windows.
- #943: better error message in case of version conflict on import.
**Bug fixes**
- #932: [NetBSD] net_connections() and Process.connections() may fail
without
raising an exception.
- #933: [Windows] memory leak in cpu_stats() and
WindowsService.description().
Links
=====
- Home page: https://github.com/giampaolo/psutil
- Download: https://pypi.python.org/pypi/psutil
- Documentation: http://pythonhosted.org/psutil
- What's new: https://github.com/giampaolo/psutil/blob/master/HISTORY.rst
--
Giampaolo - http://grodola.blogspot.com
PyCA cryptography 1.5.3 has been released to PyPI. cryptography is a
package which provides cryptographic recipes and primitives to Python
developers. Our goal is for it to be your "cryptographic standard library".
We support Python 2.6-2.7, Python 3.3+, and PyPy.
Changelog:
SECURITY ISSUE: Fixed a bug where HKDF would return an empty byte-string if
used with a length less than algorithm.digest_size. Credit to Markus Döring
for reporting the issue.
-Paul Kehrer (reaperhulk)
Available at:
https://sourceforge.net/projects/scons/files/latest/download?source=files
Changelog:
SCons - a software construction tool
Change Log
RELEASE 2.5.1 - Mon, 03 Nov 2016 13:37:42 -0400
From William Deegan:
- Add scons-configure-cache.py to packaging. It was omitted
From Alexey Klimkin:
- Use memoization to optimize PATH evaluation across all dependencies
per
node. (PR #345)
RELEASE 2.5.0 - Mon, 09 Apr 2016 11:27:42 -0700
From Dirk Baechle:
- Removed a lot of compatibility methods and workarounds
for Python versions < 2.7, in order to prepare the work
towards a combined 2.7/3.x version. (PR #284)
Also fixed the default arguments for the print_tree and
render_tree methods. (PR #284, too)
From William Blevins:
- Added support for cross-language dependency scanning;
SCons now respects scanner keys for implicit dependencies.
- Notes for SCons users with heterogeneous systems.
- May find new (previously missed) dependencies.
- May cause rebuild after upgrade due to dependency changes.
- May find new dependency errors (EG. cycles).
- Discovered in some of the SCons QT tests.
- Resolved missing cross-language dependencies for
SWIG bindings (fixes #2264).
- Corrected typo in User Guide for Scanner keyword. (PR #2959)
- Install builder interacts with scanner found in SCANNERS differently.
- Previous: Install builder recursively scanned implicit dependencies
for scanners from SCANNER, but not for built-in (default) scanners.
- Current: Install builder will not scan for implicit dependencies via
either scanner source. This optimizes some Install builder behavior
and brings orthogonality to Install builder scanning behavior.
From William Deegan:
- Add better messaging when two environments have
different actions for the same target (Bug #2024)
- Fix issue only with MSVC and Always build where targets
marked AlwaysBuild wouldn't make it into CHANGED_SOURCES
and thus yield an empty compile command line. (Bug #2622)
- Fix posix platform escaping logic to properly handle paths
with parens in them "()". (Bug #2225)
From Jakub Pola:
- Intel Compiler 2016 (Linux/Mac) update for tool directories.
From Adarsh Sanjeev:
- Fix for issue #2494: Added string support for Chmod function.
From Tom Tanner:
- change cache to use 2 character subdirectories, rather than one
character,
so as not to give huge directories for large caches, a situation which
causes issues for NFS.
For existing caches, you will need to run the scons-configure-cache.py
script to update them to the new format. You will get a warning every
time
you build until you co this.
- Fix a bunch of unit tests on windows
Hi all,
I'm pleased to announce the release of pandas 0.19.1.
This is a bug-fix release from 0.19.0 and includes some small regression
fixes, bug fixes and performance improvements. We recommend that all users
upgrade to this version.
See the v0.19.1 Whatsnew page
<http://pandas.pydata.org/pandas-docs/version/0.19.1/whatsnew.html> for an
overview of all bugs that have been fixed in 0.19.1.
Thanks to all contributors!
Joris
---
*How to get it:*
Source tarballs and windows/mac/linux wheels are available on PyPI (thanks
to Christoph Gohlke for the windows wheels, and to Matthew Brett for
setting up the mac/linux wheels).
Conda packages are already available via the conda-forge channel (conda
install pandas -c conda-forge). It will be available on the main channel
shortly.
*Issues:*
Please report any issues on our issue tracker: https://github.com/pydata/
pandas/issues
*Thanks to all the contributors of the 0.19.1 release:*
- Adam Chainz
- Anthonios Partheniou
- Arash Rouhani
- Ben Kandel
- Brandon M. Burroughs
- Chris
- chris-b1
- Chris Warth
- David Krych
- dubourg
- gfyoung
- Iván Vallés Pérez
- Jeff Reback
- Joe Jevnik
- Jon M. Mease
- Joris Van den Bossche
- Josh Owen
- Keshav Ramaswamy
- Larry Ren
- mattrijk
- Michael Felt
- paul-mannino
- Piotr Chromiec
- Robert Bradshaw
- Sinhrks
- Thiago Serafim
- Tom Bird
I am pleased to announce the release of version 1.0.0 of Elevation, a tool
for easy access to global terrain digital elevation models, SRTM 30m DEM
and SRTM 90m DEM:
http://elevation.bopen.eu/en/stable/quickstart.html
Elevation is currently considered feature complete, its command-line and
python APIs are frozen and it sees constant production use. If you
encounter any problems, please file an issue along with a detailed
description on the development page:
https://github.com/bopen/elevation
Contributions are highly welcomed and appreciated, every little help
counts, so do not hesitate!
The project is free and open source software distributed under the terms of
the Apache License, Version 2.0. and the development has been sponsored by
my employer B-Open Solutions http://bopen.eu.
Alessandro - @alexamici <https://twitter.com/alexamici>
CTO at B-Open Solutions - http://bopen.eu
I am pleased to announce the release of version 1.0.0 of Elevation, a tool
for easy access to global terrain digital elevation models, SRTM 30m DEM
and SRTM 90m DEM:
http://elevation.bopen.eu/en/stable/quickstart.html
Elevation is currently considered feature complete, its command-line and
python APIs are frozen and it sees constant production use. If you
encounter any problems, please file an issue along with a detailed
description on the development page:
https://github.com/bopen/elevation
Contributions are highly welcomed and appreciated, every little help
counts, so do not hesitate!
The project is free and open source software distributed under the terms of
the Apache License, Version 2.0. and the development has been sponsored by
my employer B-Open Solutions http://bopen.eu.
Alessandro - @alexamici <https://twitter.com/alexamici>
CTO at B-Open Solutions - http://bopen.eu
On behalf of the PyWavelets development team I am pleased to announce the
release of PyWavelets 0.5.0.
PyWavelets is a Python toolbox implementing both discrete and continuous
wavelet transforms (mathematical time-frequency transforms) with a wide
range of built-in wavelets. C/Cython are used for the low-level routines,
enabling high performance. Key Features of PyWavelets are:
* 1D, 2D and nD Forward and Inverse Discrete Wavelet Transform (DWT and
IDWT)
* 1D, 2D and nD Multilevel DWT and IDWT
* 1D and 2D Forward and Inverse Stationary Wavelet Transform
* 1D and 2D Wavelet Packet decomposition and reconstruction
* 1D Continuous Wavelet Transform
* When multiple valid implementations are available, we have chosen to
maintain consistency with MATLAB's Wavelet Toolbox.
PyWavelets 0.5.0 is the culmination of 1 year of work. In addition to
several new features, substantial refactoring of the underlying C and
Cython code have been made.
Highlights of this release include:
- 1D continuous wavelet transforms
- new discrete wavelets added (additional Debauchies and Coiflet wavelets)
- new 'reflect' extension mode for discrete wavelet transforms
- faster performance for multilevel forward stationary wavelet transforms
(SWT)
- n-dimensional support added to forward SWT
- routines to convert multilevel DWT coefficients to and from a single array
- axis support for multilevel DWT
- substantial refactoring/reorganization of the underlying C and Cython code
Full details in the release notes at:
http://pywavelets.readthedocs.io/en/latest/release.0.5.0.html
This release requires Python 2.6, 2.7 or 3.3-3.5 and Numpy 1.9.1 or
greater. Sources can be found on https://pypi.python.org/pypi/PyWavelets
and https://github.com/PyWavelets/pywt/releases.
As always, new contributors are welcome to join us at
https://github.com/PyWavelets/pywt