We're pleased to announce the release of CherryPy-0.5.
This release adds two new features:
- FastCGI support
- New tag to allow webdesigners to work on separate files
CherryPy is a Python-based tool for developing dynamic websites. It uses
many powerful concepts together, which makes it unique in its approach to
CherryPy sits between an application server and a compiler. You write source
files, compile them with CherryPy and CherryPy generates an executable
containing everything to run the website (including an HTTP server).
Key properties/features of CherryPy are:
- Based exclusively on Python (runs everywhere Python runs)
- Delivers fast, robust, and scalable websites
- Developers can use OOP as well as AOP (Aspect Oriented Programming)
concepts to develop websites
- True separation of content and presentation
- Simple but powerful templating language
- "HTML editor safe" templating language (templates can go back and forth
between designers and developers)
- Powerful standard libraries to make your life easy
Other properties/features are:
- Can be linked to many databases (Oracle, Sybase, MySql, PostgreSql,
- Can run behind another webserver (Apache, ...)
- Easy clustering and load-balancing set up for high-traffic websites
- Built-in caching capability
We would like to start a Python user's group in the Austin, Texas area.
If you are interested, please contact me at eric(a)enthought.com.
We have tentative plans for our first meeting at Enthought, Inc. on
Wednesday, August 21 at 6:30 pm. We'll provide pizza for this one.
I'll give a talk on weave, a module for inlining C/C++ in Python.
Enthought is located downtown at 6th and Congress in the Bank of America
building. We're located on the 16th floor in Suite 1614. Free parking
is somewhat scarce downtown, but the dedicated can find it. For
everyone else, the Littlefield parking garage is next to our building.
Its entrance is between 5th and 6th street on Brazos. If you have any
questions, please email me.
Our conference room can hold about 15 people -- many more than that and
we'll have to find an alternative meeting location. If your company has
a larger meeting room we can use, please let me know. Free parking wins
What: Silicon Valley/San Francisco Bay Area Python Users Group
When: Wednesday evening, August 14, 2002, 7:30 pm - 9 pm
Where: Stanford University, Palo Alto, CA
Agenda: Using SNMP with Python: the pyNMS project
Speaker: Keith Dart
In this talk, we will discuss the pyNMS package -- what's in it, where to
find it, and how to use it. The pyNMS package is a collection of Python
(and some C) modules for use in network management applications. It is
also useful for testing and other types of applications. This package
contains a real grab-bag of modules, the most notable are SNMP Management,
MIB browsing, XML and XHTML file manipulation, and other miscellaneous
modules you may find useful.
For more information and dirrections, go to the website:
hope to see you next week!
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
"Core Python Programming", Prentice Hall PTR, 2001
Silicon Valley-San Francisco Bay Area Python Users Group (BayPIGgies)
wesley.j.chun :: wesc at deirdre.org
cyberweb.consulting : henderson, nv : cyberweb at rocketmail.comhttp://roadkill.com/~wesc/cyberweb/
SalStat, the cross-platform package for scientific statistical analysis written using Python and wxPython, has made a new release (20020803). It is available from the home page (http://salstat.sunsite.dk) and has a
sourceforge site too. There is also a mailing list available for anyone interested (salstat-developers(a)lists.sourceforge.net).
This release adds the Cochranes Q nonparametric test, and fixes a bug in the between subjects analysis of variance.
Alan James Salmoni
Kaa is a weblogging tool written in Python. The current version is *highly*
experimental, but with the "release early and often" motto in mind, I make this
public anyway. At this point, it's unsuitable for serious purposes, though.
The "download page" can be found here:
This is really the page of my temporary blog; there are links to the
distribution (a zip file) and to a page with an introduction to Kaa.
Any comments, bug reports, tips, feature requests, etc etc, are welcome.
Particularly eloquent flames will be published on my blog. :-)
License? What's that? This experimental version (0.4.3) can be considered
public domain. The license of future versions may differ.
# decode for email address ;-)
The Pythonic Quarter:: http://www.awaretek.com/nowak/
Numarray is an array processing package designed to efficiently
manipulate large multi-dimensional arrays. Numarray is modelled after
Numeric and features c-code generated from python template scripts,
the capacity to operate directly on arrays in files, and improved type
Version 0.3.6 has 2 bugfixes and 1 new feature:
1. sort/argsort implementations were fixed to better handle
pathlogical cases with many equal values.
2. NDArray.tofile() and _bytes.copyToString() were fixed to properly
handle multi-megabyte multi-dimensional arrays.
3. The default array repr has been changed to summarize output for
arrays with more than 1000 elements total. This feature is configured
by the functions arrayprint.set_summary and arrayprint.summary_off.
This is an initial implementation of a widely requested feature. Feedback
Numarray-0.3.6 windows executable installers and source code tar ball is
Numarray is hosted by Source Forge in the same project which hosts Numeric:
The web page for Numarray information is at:
Trackers for Numarray Bugs, Feature Requests, Support, and Patches are at
the Source Forge project for NumPy at:
numarray-0.3.6 requires Python 2.0 or greater.
Numarray was written by Perry Greenfield, Rick White, Todd Miller, JC
Hsu, Paul Barrett, Phil Hodge at the Space Telescope Science
Institute. Thanks go to Jochen Kupper of the University of North
Carolina for his work on Numarray and for porting the Numarray manual
to TeX format.
Numarray is made available under a BSD-style License. See
LICENSE.txt in the source distribution for details.
Todd Miller jmiller(a)stsci.edu