The EuroPython Conference 2003 (EPC2003) returns to Belgium this
June, and the conference organizers are now accepting proposals for
presentations and tutorials. We expect this year to be even more
successful, and we're not just talking about the Chimay.
We are looking for participation in the following conference tracks:
Python Frameworks, Python Language, Python in Business, Python in
Science and Industry, and Zope. Track descriptions are available at
<http://www.europython.org/sessions/descriptions>. The deadline for
submissions is extended till Monday, May 12.
If you haven't done so or are still hesitating, you can still
propose a 30 minute talk, a 45 minute talk, or a 90- minute
tutorial. To propose a talk or tutorial, please visit the Talk
Submission page at <http://www.europython.org/Talks/callFor>.
Starting now, if you don't have the time to prepare a full-length
talk, we are also seeking people who want to give a 'Lightning
Talk': a short (5 minute), focused talk about any Python- or
Zope-related subject you fancy!
For more information about the conference tracks, please contact the
track chairpersons listed at
<http://www.europython.org/sessions/descriptions>. For general
questions about the conference, please visit the conference website
About EuroPython Conference 2003
EuroPython Conference 2003 is the premiere venue for meeting Python
and Zope developers from Europe and beyond. As one of the first
community-organized Python and Zope conferences, the EuroPython
Conference delivers the atmosphere and information developers
want. The conference will be held June 25-27, 2003 in Charleroi,
Belgium. Information is available at the EuroPython website at
<http://www.europython.org/>. For more information, contact
I'd like to announce the sixth release of PythonCAD, a CAD package
for open-source software users. As the name implies, PythonCAD is
written entirely in Python. The goal of this project is to create
a fully scriptable drafting program that will match and eventually
exceed features found in commercial CAD software. PythonCAD is released
under the GNU Public License (GPL).
PythonCAD requires Python 2.2. The interface is GTK 2.0 based,
and uses the PyGTK module for interfacing to GTK. The design of
PythonCAD is built around the idea of separating the interface
from the back end as much as possible. By doing this, it is hoped
that both GNOME and KDE interfaces can be added to PythonCAD through
usage of the appropriate Python module. Addition of other interfaces
will depend on the availability of a Python module for that particular
interface and developer interest and action.
The sixth release at long last adds the ability to store text in
a drawing. The text handling is in its earliest stages of development,
but now it is there. There is a new Polyline entity available to
use in a drawing now. A Polyline is essentially the same thing as
a connected set of segments, with the segments joined at the endpoint
of one to another. The ability to mirror objects around an arbitrarily
angled construction line has been added in this release as well.
This release also has a large number of internal code cleanups. A
large amount of code is being moved from the interface specific
directory to the general directory. Doing so reduces the potential
of code duplication in various interfaces. Another improvement in
this release is a reworking of the code used when building or
modifying entities through the menu choices. A new set of object
classes has been added that are specific for the operation to be
performed, and the use of these new classes makes the code to execute
the operation simpler to add and understand. The usual amount of code
cleanups, bug fixes, tweaks, and documentation additions have been done
in this new release as well.
Unfortunately there is still no mailing list for PythonCAD just yet.
I want to find a site that will accept mail from anyone, not just
list subscribers, filter the mail to remove the spam, then send
the mail out to the subscribers. Lists on Sourceforge and the GNU
Subversions site allow more spam than I want, so I am still looking
for options. I cannot stress highly enough how I want the list to
be free from junk mail that unfortunately ends up clogging so many
mailing lists. So, I am still looking for recommendations about
sites that can host the mailing list.
Visit the PythonCAD web site for more information about what PythonCAD
does and aims to be:
Come and join me in developing PythonCAD into a world class drafting
To announce that there must be no criticism of the President, or that we
are to stand by the President, right or wrong, is not only unpatriotic
and servile, but is morally treasonable to the American public.
-- Theodore Roosevelt, Kansas City Star, 1918
PyObjC 0.9 is now available for download at
PyObjC is a bridge between Python and Objective-C. It allows full
featured Cocoa applications to be written in pure Python. It is also
easy to use other frameworks containing Objective-C class libraries
from Python and to mix in Objective-C, C and C++ source.
Python is a highly dynamic programming language with a shallow learning
curve. It combines remarkable power with very clear syntax.
The installer package includes a number of Project Builder templates for
easily creating new Cocoa-Python projects. Version 0.9 also introduces
support for sytax coloring of Python files in Project Builder.
PyObjC also supports full introspection of Objective-C classes and
direct invocation of Objective-C APIs from the interactive interpreter.
PyObjC requires MacOS X 10.2 or later. PyObjC works both with the Apple
provided Python installation in MacOS X 10.2 (and later) and with
MacPython 2.3b1. Users of MacPython 2.3b1 can install PyObjC though the
PyObjC 0.9 includes many inprovements over earlier versions and users
strongly advised to upgrade. The installer package will automatically
PyObjC is released with an open source license.
A bundle of SMTP, POP3, HTTP servers, and a management console.
ISOS is a purely Python server for small organizations. It contains
e-mail(SMTP & POP3) servers, a simple HTTP server, and a console based
management program for controlling services, creating users and e-mail
groups. Most suitable for small organizations that has little expertise
in such services and software, and mediocre performance considerations
Turkish and English interface. GPL licensed.
ISOS provides a quick start for e-presence of small
organizations/comapnies, if you don't want to pay for MS Exchange
server, and lack the experience to get software like Sendmail, Courier
and Apache do what you need. Works on both Windows and Linux.
Platform: Linux, Win32
Mehmet Gencer (mgencer(a)acikkanal.net)
<a href="http://isos.acikkanal.net/">ISOS/v0.7.1a</a> -- A bundle of
SMTP, POP3, HTTP servers, and a management console.
Epylog Log Analyzer
What is it:
Epylog is a new log notifier and parser which runs periodically,
looks at your logs, processes some of the entries in order to
present them in a more comprehensive format, and then mails you the
output. It is written specifically for large network clusters where
a lot of machines (around 50 and upwards) log to the same loghost
using syslog or syslog-ng.
The epylog engine should work on most unix systems running
Python-2.2 and above, alhough currently the processing modules are
only written to work with linux (and particularly Red Hat Linux
series 7 and above). However, other unix and linux flavors should
work fine, as long as they use standard non-ancient logging
facilities and things like PAM.
- Threaded for faster network lookups
- Unwraps "last message repeated" lines
- Mails reports in either html or plain text (or both)
- Publishes reports to a file with optional notification via email.
- Accepts --last hour/day/week/month command-line arguments
- Handles modules written in both Python and other languages (though
many "neat" features are not available to external modules)
- External module API fully backwards-compatible with DULog
The parsing modules are currently only written for linux, so at
least at the moment running it on other unixes would not be very
efficient (it will still work as long as syslog is used, but many
lines will be unparsed).
Requires Python-2.2 or above and PyXML (libxml2-python).
Works as-is for Red Hat 7.3, 8.0, and 9 (though see a caution on the
site for 9), Yellowdog Linux 3.0.
Where to get it:
Konstantin ("Icon") Riabitsev
Duke Physics Systems Admin, RHCE
I am posting this meta-PEP to inform the Python community of a
significant recent addition. Formerly, there was no provision for the
BDFL to initiate a PEP review, even if the PEP was sure to be
accepted; taken literally, the PEP text required the PEP author to
request a review. Such a provision has been added with the following
For a PEP that is pre-determined to be acceptable (e.g., it is an
obvious win as-is and/or its implementation has already been
checked in) the BDFL may also initiate a PEP review, first
notifying the PEP author(s) and giving them a chance to make
A description of the PEP acceptance criteria was also added
immediately following the above text.
The processed PEP can be found at
Title: PEP Purpose and Guidelines
Version: $Revision: 1.42 $
Last-Modified: $Date: 2003/05/03 16:01:32 $
Author: Barry A. Warsaw, Jeremy Hylton, David Goodger
Post-History: 21-Mar-2001, 29-Jul-2002, 03-May-2003
What is a PEP?
PEP stands for Python Enhancement Proposal. A PEP is a design
document providing information to the Python community, or describing
a new feature for Python. The PEP should provide a concise technical
specification of the feature and a rationale for the feature.
We intend PEPs to be the primary mechanisms for proposing new
features, for collecting community input on an issue, and for
documenting the design decisions that have gone into Python. The PEP
author is responsible for building consensus within the community and
documenting dissenting opinions.
Because the PEPs are maintained as text files under CVS control, their
revision history is the historical record of the feature proposal
Kinds of PEPs
There are two kinds of PEPs. A Standards Track PEP describes a new
feature or implementation for Python. An Informational PEP describes
a Python design issue, or provides general guidelines or information
to the Python community, but does not propose a new feature.
Informational PEPs do not necessarily represent a Python community
consensus or recommendation, so users and implementors are free to
ignore Informational PEPs or follow their advice.
PEP Work Flow
The PEP editors assign PEP numbers and change their status. The
current PEP editors are David Goodger and Barry Warsaw. Please send
all PEP-related email to <peps(a)python.org>.
The PEP process begins with a new idea for Python. It is highly
recommended that a single PEP contain a single key proposal or new
idea. The more focussed the PEP, the more successfully it tends to
be. The PEP editor reserves the right to reject PEP proposals if they
appear too unfocussed or too broad. If in doubt, split your PEP into
several well-focussed ones.
Each PEP must have a champion -- someone who writes the PEP using the
style and format described below, shepherds the discussions in the
appropriate forums, and attempts to build community consensus around
the idea. The PEP champion (a.k.a. Author) should first attempt to
ascertain whether the idea is PEP-able. Small enhancements or patches
often don't need a PEP and can be injected into the Python development
work flow with a patch submission to the SourceForge `patch manager`_
or `feature request tracker`_.
The PEP champion then emails the PEP editor <peps(a)python.org> with a
proposed title and a rough, but fleshed out, draft of the PEP. This
draft must be written in PEP style as described below.
If the PEP editor approves, he will assign the PEP a number, label it
as Standards Track or Informational, give it status "Draft", and
create and check-in the initial draft of the PEP. The PEP editor will
not unreasonably deny a PEP. Reasons for denying PEP status include
duplication of effort, being technically unsound, not providing proper
motivation or addressing backwards compatibility, or not in keeping
with the Python philosophy. The BDFL (Benevolent Dictator for Life,
Guido van Rossum) can be consulted during the approval phase, and is
the final arbitrator of the draft's PEP-ability.
If a pre-PEP is rejected, the author may elect to take the pre-PEP to
the comp.lang.python newsgroup (a.k.a. python-list(a)python.org mailing
list) to help flesh it out, gain feedback and consensus from the
community at large, and improve the PEP for re-submission.
The author of the PEP is then responsible for posting the PEP to the
community forums, and marshaling community support for it. As updates
are necessary, the PEP author can check in new versions if they have
CVS commit permissions, or can email new PEP versions to the PEP
editor for committing.
Standards Track PEPs consists of two parts, a design document and a
reference implementation. The PEP should be reviewed and accepted
before a reference implementation is begun, unless a reference
implementation will aid people in studying the PEP. Standards Track
PEPs must include an implementation -- in the form of code, patch, or
URL to same -- before it can be considered Final.
PEP authors are responsible for collecting community feedback on a PEP
before submitting it for review. A PEP that has not been discussed on
python-list(a)python.org and/or python-dev(a)python.org will not be
accepted. However, wherever possible, long open-ended discussions on
public mailing lists should be avoided. Strategies to keep the
discussions efficient include, setting up a separate SIG mailing list
for the topic, having the PEP author accept private comments in the
early design phases, etc. PEP authors should use their discretion
Once the authors have completed a PEP, they must inform the PEP editor
that it is ready for review. PEPs are reviewed by the BDFL and his
chosen consultants, who may accept or reject a PEP or send it back to
the author(s) for revision. For a PEP that is pre-determined to be
acceptable (e.g., it is an obvious win as-is and/or its implementation
has already been checked in) the BDFL may also initiate a PEP review,
first notifying the PEP author(s) and giving them a chance to make
For a PEP to be accepted it must meet certain minimum criteria. It
must be a clear and complete description of the proposed enhancement.
The enhancement must represent a net improvement. The proposed
implementation, if applicable, must be solid and must not complicate
the interpreter unduly. Finally, a proposed enhancement must be
"pythonic" in order to be accepted by the BDFL. (However, "pythonic"
is an imprecise term; it may be defined as whatever is acceptable to
the BDFL. This logic is intentionally circular.) See PEP 2 _ for
standard library module acceptance criteria.
Once a PEP has been accepted, the reference implementation must be
completed. When the reference implementation is complete and accepted
by the BDFL, the status will be changed to "Final".
A PEP can also be assigned status "Deferred". The PEP author or
editor can assign the PEP this status when no progress is being made
on the PEP. Once a PEP is deferred, the PEP editor can re-assign it
to draft status.
A PEP can also be "Rejected". Perhaps after all is said and done it
was not a good idea. It is still important to have a record of this
PEPs can also be replaced by a different PEP, rendering the original
obsolete. This is intended for Informational PEPs, where version 2 of
an API can replace version 1.
PEP work flow is as follows::
Draft -> Accepted -> Final -> Replaced
Some Informational PEPs may also have a status of "Active" if they are
never meant to be completed. E.g. PEP 1 (this PEP).
What belongs in a successful PEP?
Each PEP should have the following parts:
1. Preamble -- RFC 822 style headers containing meta-data about the
PEP, including the PEP number, a short descriptive title (limited
to a maximum of 44 characters), the names, and optionally the
contact info for each author, etc.
2. Abstract -- a short (~200 word) description of the technical issue
3. Copyright/public domain -- Each PEP must either be explicitly
labelled as placed in the public domain (see this PEP as an
example) or licensed under the `Open Publication License`_.
4. Specification -- The technical specification should describe the
syntax and semantics of any new language feature. The
specification should be detailed enough to allow competing,
interoperable implementations for any of the current Python
platforms (CPython, Jython, Python .NET).
5. Motivation -- The motivation is critical for PEPs that want to
change the Python language. It should clearly explain why the
existing language specification is inadequate to address the
problem that the PEP solves. PEP submissions without sufficient
motivation may be rejected outright.
6. Rationale -- The rationale fleshes out the specification by
describing what motivated the design and why particular design
decisions were made. It should describe alternate designs that
were considered and related work, e.g. how the feature is supported
in other languages.
The rationale should provide evidence of consensus within the
community and discuss important objections or concerns raised
7. Backwards Compatibility -- All PEPs that introduce backwards
incompatibilities must include a section describing these
incompatibilities and their severity. The PEP must explain how the
author proposes to deal with these incompatibilities. PEP
submissions without a sufficient backwards compatibility treatise
may be rejected outright.
8. Reference Implementation -- The reference implementation must be
completed before any PEP is given status "Final", but it need not
be completed before the PEP is accepted. It is better to finish
the specification and rationale first and reach consensus on it
before writing code.
The final implementation must include test code and documentation
appropriate for either the Python language reference or the
standard library reference.
PEP Formats and Templates
There are two PEP formats available to authors: plaintext and
Plaintext PEPs are written in plain ASCII text, contain minimal
structural markup, and should adhere to a rigid style. PEP 9 contains
a boilerplate template _ you can use to get started writing your
ReStructuredText_ PEPs allow for rich markup that is still quite easy
to read, but results in much better-looking and more functional HTML.
PEP 12 contains a boilerplate template _ for use with
There is a Python script that converts both styles of PEPs to HTML for
viewing on the web _. Parsing and conversion of plaintext PEPs is
self-contained within the script. reStructuredText PEPs are parsed
and converted by Docutils_ code called from the script.
PEP Header Preamble
Each PEP must begin with an RFC 822 style header preamble. The headers
must appear in the following order. Headers marked with "*" are
optional and are described below. All other headers are required. ::
PEP: <pep number>
Title: <pep title>
Version: <cvs version string>
Last-Modified: <cvs date string>
Author: <list of authors' real names and optionally, email addrs>
* Discussions-To: <email address>
Status: <Draft | Active | Accepted | Deferred | Rejected |
Final | Replaced>
Type: <Informational | Standards Track>
* Content-Type: <text/plain | text/x-rst>
* Requires: <pep numbers>
Created: <date created on, in dd-mmm-yyyy format>
* Python-Version: <version number>
Post-History: <dates of postings to python-list and python-dev>
* Replaces: <pep number>
* Replaced-By: <pep number>
The Author header lists the names, and optionally the email addresses
of all the authors/owners of the PEP. The format of the Author header
value must be
Random J. User <address(a)dom.ain>
if the email address is included, and just
Random J. User
if the address is not given. For historical reasons the format
"address(a)dom.ain (Random J. User)" may appear in a PEP, however new
PEPs must use the mandated format above, and it is acceptable to
change to this format when PEPs are updated.
If there are multiple authors, each should be on a separate line
following RFC 2822 continuation line conventions. Note that personal
email addresses in PEPs will be obscured as a defense against spam
While a PEP is in private discussions (usually during the initial
Draft phase), a Discussions-To header will indicate the mailing list
or URL where the PEP is being discussed. No Discussions-To header is
necessary if the PEP is being discussed privately with the author, or
on the python-list or python-dev email mailing lists. Note that email
addresses in the Discussions-To header will not be obscured.
The Type header specifies the type of PEP: Informational or Standards
The format of a PEP is specified with a Content-Type header. The
acceptable values are "text/plain" for plaintext PEPs (see PEP 9 _)
and "text/x-rst" for reStructuredText PEPs (see PEP 12 _).
Plaintext ("text/plain") is the default if no Content-Type header is
The Created header records the date that the PEP was assigned a
number, while Post-History is used to record the dates of when new
versions of the PEP are posted to python-list and/or python-dev. Both
headers should be in dd-mmm-yyyy format, e.g. 14-Aug-2001.
Standards Track PEPs must have a Python-Version header which indicates
the version of Python that the feature will be released with.
Informational PEPs do not need a Python-Version header.
PEPs may have a Requires header, indicating the PEP numbers that this
PEP depends on.
PEPs may also have a Replaced-By header indicating that a PEP has been
rendered obsolete by a later document; the value is the number of the
PEP that replaces the current document. The newer PEP must have a
Replaces header containing the number of the PEP that it rendered
Reporting PEP Bugs, or Submitting PEP Updates
How you report a bug, or submit a PEP update depends on several
factors, such as the maturity of the PEP, the preferences of the PEP
author, and the nature of your comments. For the early draft stages
of the PEP, it's probably best to send your comments and changes
directly to the PEP author. For more mature, or finished PEPs you may
want to submit corrections to the SourceForge `bug manager`_ or better
yet, the SourceForge `patch manager`_ so that your changes don't get
lost. If the PEP author is a SF developer, assign the bug/patch to
him, otherwise assign it to the PEP editor.
When in doubt about where to send your changes, please check first
with the PEP author and/or PEP editor.
PEP authors who are also SF committers, can update the PEPs themselves
by using "cvs commit" to commit their changes. Remember to also push
the formatted PEP text out to the web by doing the following::
% python pep2html.py -i NUM
where NUM is the number of the PEP you want to push out. See ::
% python pep2html.py --help
Transferring PEP Ownership
It occasionally becomes necessary to transfer ownership of PEPs to a
new champion. In general, we'd like to retain the original author as
a co-author of the transferred PEP, but that's really up to the
original author. A good reason to transfer ownership is because the
original author no longer has the time or interest in updating it or
following through with the PEP process, or has fallen off the face of
the 'net (i.e. is unreachable or not responding to email). A bad
reason to transfer ownership is because you don't agree with the
direction of the PEP. We try to build consensus around a PEP, but if
that's not possible, you can always submit a competing PEP.
If you are interested in assuming ownership of a PEP, send a message
asking to take over, addressed to both the original author and the PEP
editor <peps(a)python.org>. If the original author doesn't respond to
email in a timely manner, the PEP editor will make a unilateral
decision (it's not like such decisions can't be reversed :).
References and Footnotes
..  This historical record is available by the normal CVS commands
for retrieving older revisions. For those without direct access to
the CVS tree, you can browse the current and past PEP revisions via
the SourceForge web site at
..  PEP 2, Procedure for Adding New Modules, Faassen
..  PEP 9, Sample Plaintext PEP Template, Warsaw
..  PEP 12, Sample reStructuredText PEP Template, Goodger, Warsaw
..  The script referred to here is pep2html.py, which lives in the
same directory in the CVS tree as the PEPs themselves. Try
``pep2html.py --help`` for details. The URL for viewing PEPs on
the web is http://www.python.org/peps/.
.. _patch manager:
.. _feature request tracker:
.. _Open Publication License: http://www.opencontent.org/openpub/
.. _reStructuredText: http://docutils.sourceforge.net/rst.html
.. _Docutils: http://docutils.sourceforge.net/
.. _bug manager:
This document has been placed in the public domain.
David Goodger <http://starship.python.net/~goodger>
Python Enhancement Proposal (PEP) Editor <http://www.python.org/peps/>
(Please cc: all PEP correspondence to <peps(a)python.org>.)
Release Notes for numarray-0.5
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
1. Universal Function Overhead Reduction
The constant time overhead for most universal functions has been reduced
by a factor of 10-20. This results in better performance for small arrays.
2. FFT mode and IRAF boundary modes added to Convolve.convolve2d
There's now an FFT switch for the 2d convolution function in the
Convolve package; when set to 1, convolution is performed via the FFT
rather than using the naiive algorithm. In addition, convolve2d now
supports boundary modes which are identical to IRAF's convolution
3. Numarray is now supported by f2py
Numarray numerical arrays can now be used with f2py wrappers for
Fortran code. To compile f2py wrapped extensions for numarray,
use the switch -DNUMARRAY on the f2py command line. Support
is currently restricted to f77 and numerical arrays.
II. BUGS FIXED
650926 exotic type coercions
653424 Convolve.boxcar boundary bug
653429 python setup.py build
654669 array index by list
655942 logical operator reductions
657058 inverse real fft bug
677796 byteswap not working
709956 error summing over large boolean arrays
710480 MLab.median makes unnecessary msort call
714537 conjugate function changes its argument
for more details.
1. Due to some module renamings, numarray-0.5 will not install
correctly on top of an existing numarray installation. Before
installing numarray-0.5 remove your old version of numarray.
2. Due to reorganization of the C-API, numarray extensions must be
3. For numarray-0.5 and up, the byteswap related methods have been
a.byteswap() swaps but leaves byteorder alone
a.togglebyteorder() Does "big" <-> "little"
a._byteswap() now an alias for byteswap
4. round() has been deprecated. Use around() instead.
Numarray-0.5 windows executable installers, source code, and manual 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-0.5 requires Python 2.2.2 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. Thanks also to Edward C. Jones, Francesc Alted,
Paul Dubois, Eric Jones, Travis Oliphant, Pearu Peterson and everyone who
has contributed with comments and feedback.
Numarray is made available under a BSD-style License. See
LICENSE.txt in the source distribution for details.
Todd Miller jmiller(a)stsci.edu
apm.py 0.3.0 is out.
apm.py is a python module providing of an uniform and platform
independent interface to APM. At the moment it implements only battery
1. Support for FreeBSD 4 (tested with FreeBSD 4.8) and OpenBSD (untested)
2. Fix in NetBSD where the charging state could be wrong.
Best regards, Tilo