*** Cygwin has migrating from Python 2.6 to 2.7. ***
I have updated the version of Python to 2.7.3-1. The tarballs should be
available on a Cygwin mirror near you shortly.
The following is the only change since the previous release:
o promote from experimental to current
Note that all Python dependent packages have been rebuilt against 2.7.
I would like to thank Yaakov Selkowitz for managing the migration from
Python 2.6 to 2.7.
Python is an interpreted, interactive, object-oriented programming
language. If interested, see the Python web site for more details:
Please read the README file:
since it covers requirements, installation, known issues, etc.
To update your installation, click on the "Install Cygwin now" link on
the http://cygwin.com/ web page. This downloads setup.exe to your
system. Then, run setup and answer all of the questions.
If you have questions or comments, please send them to the Cygwin
*** CYGWIN-ANNOUNCE UNSUBSCRIBE INFO ***
If you want to unsubscribe from the cygwin-announce mailing list, please
use the automated form at:
If you need more information on unsubscribing, start reading here:
Please read *all* of the information on unsubscribing that is available
starting at this URL.
On behalf of the organizing committee of PyCon SG 2013, we are
inviting for Proposals for Presentations and Tutorials for the 2013
PyCon Singapore Conference, to be held in Singapore from June 13 to
Presentation and Tutorial Submission detail can be found at
And the submission deadline for both is April 1, 2013
For enquiries, pls direct them to conference(a)pycon.sg
We look forward to receiving your proposals! And to a great conference
PyCon SG 2013 Programme Committee Chair
On behalf of the numba team I am pleased to announce a new version of
Numba, 0.6. The release includes faster numerical codes, better type
inference support, faster autojit dispatch, python 2.6 support and
Numba will be part of the next anaconda CE release 1.3.1, to be released
Numba is an just-in-time specializing compiler for Python and NumPy
code to LLVM for annotated functions (through decorators). It's goal
is to seamlessly integrate with the Python scientific software stack
and provide optimized native code and integration with native foreign
* llvmpy 0.10.0
* meta (optional)
* LLVM 3.2 (3.1 might work but is not officially supported)
* Python 2.6 support
* Programmable typing
* Allow users to add type inference for external code
* Better NumPy type inference
* outer, inner, dot, vdot, tensordot, nonzero, where,
binary ufuncs + methods (reduce, accumulate, reduceat, outer)
* Type based alias analysis
* Support for strict aliasing
* Much faster autojit dispatch when calling from Python
* Faster numerical loops through data and stride pre-loading
* Integral overflow and underflow checking for conversions from objects
* Make Meta dependency optional
Many thanks to everyone who contributed to this release!
Siu Kwan Lam
Travis E. Oliphant
When: Wednesday Feb 13th @ 7pm
Where: Engine Yard, 2nd Floor, 35 Barrow St, Dublin 4.
"A 30 minute quick start guide to monitoring and metrics"
Level: Mostly beginner
- What is monitoring? What are metrics? Why do I care?
- What quick and dirty things can you do now to improve your life?
- What could you be aiming for long term?
- A quick summary of a bunch of tools:
- Graphite (and of course hostedgraphite.com)
- New Relic
- Log scraping
"MongoDB, MongoKit & Python for data driven integration testing."
I will cover few use cases of using MongoDB in the integration testing
process and show how we simplified tests using pytest and JenkinsCI.
Lightning talk on "How to try to make a audio game with no knowledge of
python what so ever".
Looking forward to seeing everyone on the night. Hopefully there will be
some new faces there too.
Note: Remember to go up the outside fire-escape stairwell in order to get
into the building.
Diarmuid Bourke / diarmuidbourke(a)gmail.com
ZenDoc / CTO dbourke(a)getzendoc.com
Python Ireland / Chairperson diarmuid(a)python.ie
-----BEGIN PGP SIGNED MESSAGE-----
I'm happy to announce the release of Pygments 1.6. Pygments is a
generic syntax highlighter written in Python.
Pygments 1.6 is another large release, with over 30 new languages or markups
supported. Heavy thanks go to all the contributors of these lexers, and
to all those who reported bugs and waited patiently for this release,
and to Tim Hatch for his continuing contributions.
Download it from <http://pypi.python.org/pypi/Pygments>, or look at the
demonstration at <http://pygments.org/demo>.
-----BEGIN PGP SIGNATURE-----
Version: GnuPG v2.0.19 (GNU/Linux)
-----END PGP SIGNATURE-----