This announcement is in German because the training is offered
in German. We do offer an English version [1].
Django für Fortgeschrittene
===========================
Was: Tiefes Eintauschen in Django
Wann: 18. - 20. Juli 2013
Wo: Python Academy, Leipzig
Wer: Markus Zapke-Gründemann
Details: http://www.python-academy.de/Kurse/django_kurs_fortgeschrittene.html
Sie nutzen Django und wollen mehr darüber wissen? Dann können Sie
in diesem Kurs tief in fortgeschrittene Konzepte einsteigen. Der
Kurs wird Ihnen helfen bessere Anwendungen schneller zu entwickeln.
Wenn Sie Django noch nicht nutzen und mit den Grundlagen nicht
vertraut sind, empfehlen wir unseren Kurs "Einstieg in Django" [2].
Dieser Kurs vom 15. bis 17. Juli liegt direkt vor dem Kurs für
Fortgeschrittene, so dass Sie die Möglichkeit haben sechs Tage
Django-Total zu genießen.
Der Kurs findet in Leipzig statt, das ein sehr reiches kulturelles
Leben bietet. Leipzig war Gastgeber der ersten beiden PyCon DE
Konferenzen 2011 und 2012. Leipzig ist sehr gut mit dem Auto und
mit öffentlichen Verkehrsmitteln zu erreichen. Das Schulungszentrum
ist jeweils eine nur Viertelstunde vom Hauptbahnhof oder Flughafen
entfernt und von der Autobahnabfahrt sind es nur wenige Minuten
bis zu uns. Leipzig bietet reichlich gute Hotels zu sehr moderaten
Preisen.
Der gleiche Kurs ist auch in englischer Sprache verfügbar [1].
[1] http://www.python-academy.com/courses/django_course_advanced.html
[2] http://www.python-academy.de/Kurse/django_kurs_einstieg.html
This announcement is in German because the training is offered
in German. We do offer an English version [1].
Einstieg in Django
==================
Was: Praktischer Einstieg in die Entwicklung von Web-Anwendungen mit Django
Wann: 15. - 17. Juli 2013
Wo: Python Academy, Leipzig
Wer: Markus Zapke-Gründemann
Details: http://www.python-academy.de/Kurse/django_kurs_einstieg.html
Django ist ein sehr beliebtes Framework für die Entwicklung von
Webanwendungen mit Python. In diesem Kurs lernen die Teilnehmer alle
Grundlagen von Django von unserem erfahrenen Django-Trainer.
Möchten Sie schnell gute Django-Anwendungen schreiben? Dann ist
das der richtige Kurs für Sie. Erlernen Sie Best Practices und
wie Sie die vielen Werkzeuge rund um Python und Django effektiv
für die Entwicklung professioneller, performanter und wartbarer
Web-Anwendungen nutzen.
Wenn Sie Django schon nutzen und mit den Grundlagen vertraut sind,
empfehlen wir unseren Kurs "Django für Fortgeschrittene" [2].
Dieser schließt sich direkt vom 18. bis 20 Juli an, so dass Sie
die Möglichkeit haben sechs Tage Django-Total zu genießen.
Der Kurs findet in Leipzig statt, das ein sehr reiches kulturelles
Leben bietet. Leipzig war Gastgeber der ersten beiden PyCon DE
Konferenzen 2011 und 2012. Leipzig ist sehr gut mit dem Auto und
mit öffentlichen Verkehrsmitteln zu erreichen. Das Schulungszentrum
ist jeweils eine nur Viertelstunde vom Hauptbahnhof oder Flughafen
entfernt und von der Autobahnabfahrt sind es nur wenige Minuten
bis zu uns. Leipzig bietet reichlich gute Hotels zu sehr moderaten
Preisen.
Der gleiche Kurs ist auch in englischer Sprache verfügbar [1].
[1] http://www.python-academy.com/courses/django_course_introduction.html
[2] http://www.python-academy.de/Kurse/django_kurs_fortgeschrittene.html
I have just released a new project on Sourceforge called XYmath at:
https://sourceforge.net/p/xymath/xywiki/Home/
XYmath will find the "best" curve fit using either minimum percent error or
minimum total error. It can search through common equations, an exhaustive
search through thousands of equations, splines, smoothed splines, or
non-linear equations input by the user.
After fitting, XYmath will find roots, minima, maxima, derivatives or
integrals of the curve. It will generate source code that documents and
evaluates the fit in python, FORTRAN or EXCEL.
Configurable plots are created using matplotlib that are of publication
quality.
If a recent version of pythonxy is installed, then XYmath can be installed
with no additional dependencies
I hope you find it useful.
XMLtoPDFBook v1.1 released:
XMLtoPDFBook is a program that lets you create simple PDF books from XML text content, including support for chapter numbers and names, headers and footers, automatic pagination, and page numbers.
Please see this blog post about XMLtoPDFBook:
XMLtoPDFBook now supports chapter numbers and names:
http://jugad2.blogspot.in/2013/06/xmltopdfbook-now-supports-chapter.html
XMLtoPDFBook is not separately released as a stand-alone product; I've added it as one of the components of my larger xtopdf project. But you can use it as a separate product, once you install the prerequisites, which include 1) v1.21 of the open source version of the ReportLab toolkit for PDF creation, and 2) xtopdf itself.
The blog post linked above, has links to download xtopdf (and hence, XMLtoPDFBook). The same post (which also links to a previous post about XMLtoPDFBook), also shows how to use XMLtoPDFBook to generate simple PDF ebooks from the text content in XML files that are created in a specific format. The format is simple: the top-level element should be a <book> element, and the inner elements should be <chapter> elements. Chapter elements can have an optional attribute like this:
<chapter name="chapter_name">
Using this attribute will result in the specific chapter name being displayed in the header for the pages comprising that chapter (in the PDF output).
Here is a guide to installing and using xtopdf:
http://jugad2.blogspot.in/2012/07/guide-to-installing-and-using-xtopdf.html
Enjoy, and give feedback, if any.
- Vasudev Ram
Dancing Bison Enterprises
Python, Linux and open source training and consulting
http://dancingbison.comhttp://jugad2.blogspot.comhttps://twitter.com/vasudevram
Hi,
I'm happy to announce new Python data framework: Bubbles
Motto: Focus on the process, not the data technology.
Blog post: http://blog.databrewery.org/posts/bubbles-0-1-released.html
Here is a short presentation of the core concepts:
http://www.slideshare.net/Stiivi/data-brewery-2-data-objects
The concepts are:
* data objects – abstraction of tabular data, one object might have multiple representations at once (SQL, iterator, ...)
* data stores – abstraction of dataset collections
* operations (performing on top of representations) and execution context (with operation catalog)
* processing pipelines
Priorities of the framework are:
* understandability of the process
* auditability of the data being processed (frequent use of metadata)
* usability
* versatility
Working with data:
* keep data in their original form. For example: represent data by a SQL statement and do not touch neither move around data if not necessary.
* use native operations if possible: compose SQL statements, chain python iterators, compose APIs
* performance provided by technology: SQL optimizer should know the best
* have options – custom operations are easy to create
Bubbles is performance agnostic at the low level of physical data implementation. Performance should be assured by the data technology and proper use of operations.
Summary of current operations:
http://www.scribd.com/doc/147247069/Bubbles-Brewery2-Operations
More will come, at least basic Mongo ops are planned for 0.2.
Github: https://github.com/Stiivi/bubbles
If you have any comments, suggestions or questions, let me know.
Cheers,
Stefan
Hey all,
I wanted to first announce a python users' group in Madison, WI and
second ask that anyone with a desire to speak at the first meet-up get
in touch. Devin Walters and I are using meetup.com to coordinate the
event and would hope to start holding meet-ups on a regular basis.
If you're interested please join the group here: http://www.meetup.com/MadPUG/
We would also be willing to use madison(a)python.org which once hosted
the list for a PUG in Madison (but seems rather inactive) if the
python community would like.
Cheers!
Ian
---
https://github.com/sigmavirus24https://bitbucket.org/icordasc
Hi,
I've just uploaded pypiserver 1.1.2 to the python package index.
pypiserver is a minimal PyPI compatible server. It can be used to serve
a set of packages and eggs to easy_install or pip.
pypiserver is easy to install (i.e. just 'pip install pypiserver'). It
doesn't have any external dependencies.
https://pypi.python.org/pypi/pypiserver/ should contain enough
information to easily get you started running your own PyPI server in a
few minutes.
The code is available on github: https://github.com/schmir/pypiserver
Changes in this version
-----------------------
- fix "pypi-server -U" stable/unstable detection, i.e. do not
accidentally update to unstable packages
--
Cheers
Ralf
devpi, the caching pypi server and its optional upload/test/install helper
tool, just got a devpi-0.9.2 release. See the full updated docs here:
http://doc.devpi.net
Apart from some streamlining, there is a new upload option::
devpi upload --from-dir path/to/dir [--only-latest]
which uploads existing release files to a devpi index, optionally only
the latest versions. This is achieved with the help of ``pkginfo``
extracting PKGINFO files and, for the few where it's missing, using the
filename to determine name/version data. Thanks to Anthon van der Neut
for his related PRs.
See below for a more detailed changelog.
best,
holger
0.9.2 (compared to 0.9.1)
----------------------------
server:
- fix /USER/INDEXNAME root views to contain only latest in-stage packages
- make +api calls return bases so that "devpi use" can show them
client:
- introduce "devpi upload --fromdir" for uploading archives in bulk
mode, thanks to Anthon van der Neut for helping with this!
(resolved issue5)
- improve automatic server handling via "devpi use"
- for "devpi server" you now need to specify "--log" to see log lines
- make "devpi use" also show base indexes by default
- fix issue4: auto-server data stored in non-dot dir
Hi,
I'm glad to announce the release of jsonrpclib-pelix 0.1.5 !
What is it ?
------------
jsonrpclib-pelix is an implementation of the JSON-RPC specification.
It supports both the original 1.0 specification, as well as
the 2.0 specification, which includes batch submission, keyword arguments,
etc.
The suffix -pelix only indicates that this version works with
Pelix Remote Services, but it is not a Pelix specific implementation.
This version is a fork of Josh Marshal's jsonrpclib.
It cannot be installed with the original version, as it uses the same
package name.
This project is under Apache License 2.0.
It is available on PyPI:
https://pypi.python.org/pypi/jsonrpclib-pelix
The source code is on GitHub:
https://github.com/tcalmant/jsonrpclib
What's new in 0.1.5
-------------------
This is the second release of jsonrpclib-pelix, and the first one to be
announced on this list.
It adds the following features:
* Support of Python 3
* Added support of the dispatch_method agument in SimpleJSONRPCDispatcher
* Removed the support of Unix sockets
* Added features from other forks:
* Improved JSON-RPC 1.0 support
* Less strict error response handling
* New AppError exception raised if a RPC error code is not a pre-defined one
* Support of custom headers sent in requests
Enjoy,
Thomas