Mailman 3 September 2001 - Python-announce-list

CFP - Python 10 Tools Track
by David Beazley Sept. 30, 2001

Sept. 30, 2001

*** Call for Participation *** 10th International Python Conference - Tools Track February 4-7, 2002 The Hilton Alexandria Mark Center Alexandria, Virginia Proposal submission deadline: Friday, October 12th Notification : Monday, October 29th The tools track of the 10th International Python Conference is currently seeking presentation proposals. The primary focus of the tools track is to allow developers of tools for Python programmers to present new products & technologies, and to gather feedback from the audience. Any project, product or technology aimed at Python developers is appropriate to present here, whether aimed at the design, coding, testing, deployment, or other phases of software development. Possible topics of interest include, but are not limited to the following: - Commercial products based on Python. - Python IDEs and development tools. - Python extension modules. - Mini-tutorials on a specific programming topic or tool. - Work in progress reports on existing Python tools. To submit a proposal to the tools track, send an email message to tools(a)python10.org. In your message, include the following information: - Speaker name and affiliation - Contact address - Presentation title - A one paragraph abstract - Approximate presentation time (if known). Presentations should be aimed at a technical audience. Proposals that blatantly focus on sales or marketing will be rejected. Also, proposals will be given preference based on the order in which they are received. Please submit your proposal now while time slots are available! You will receive a confirmation when your proposal is received. If you hear nothing or already submitted a proposal, please make sure you reconfirm your submission. Additional information about the Python conference can be found at http://www.python10.org. David Beazley - Tools track chair beazley(a)cs.uchicago.edu

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ANN: Interactive Python Prompt Tools
by Nathaniel Gray Sept. 29, 2001

Sept. 29, 2001

__________________________________________________________________ Announcing: LazyPython v0.5 deep_reload v0.5 Tools for the interactive Python prompt. __________________________________________________________________ WHAT ARE THEY? LazyPython is an exception hook for Python versions 2.1 and later that brings shell escapes, auto-parenthesizing and auto-quoting to the python interactive prompt. deep_reload is an import hook for Python versions 1.5.2 and above that causes the reload() command to act recursively, reloading all of the modules that a given module imports. Together they enhance the convenience of the Python prompt as an interactive environment like, for example, Matlab. HOW DO I USE THEM? Here's an example LazyPython session: >>> import LazyPython Welcome to Lazy Python. Type "help LazyPython" for help. >>> sys.excepthook = LazyPython.LazyPython() >>> >>> # '!' is the shell escape character >>> !pwd /home/n8gray/python >>> !ls CVS gracePlot.py n8utils.pyc Clex.py gracePlot.py.bak pythonstartup.py Heller_inline_message.txt gracePlot.py.bck pythonstartup.py.bck ... snip listing ... >>> >>> # '/' is the auto-paren escape character >>> import gracePlot >>> /reload gracePlot # Look Ma, no parens! --> reload(gracePlot) >>> # When LazyPython rewrites your command line it notifies you with >>> # the line "--> <new-cmd-line>\n\n" >>> >>> # Since reload is a callable, you don't really even have to escape it! >>> reload gracePlot # No '/' or parens --> reload(gracePlot) >>> # ',' is the auto-quote escape character >>> ,some_function arg1 arg2 arg3 --> some_function("arg1", "arg2", "arg3") >>> # You can also specify a list of auto-quote functions that you don't >>> # need to escape. Assuming we have a convenience function 'cp' >>> # that we've specified as an auto-quote function: >>> cp somefile someotherfile # Yes, you could also use a shell escape --> cp("somefile", "someotherfile") >>> Here's how you use deep_reload: >>> import __builtin__, deep_reload >>> __builtin__.reload = deep_reload.reload >>> import Numeric >>> reload Numeric # LazyPython auto-parenning :-) --> reload(Numeric) Reloading Numeric Reloading numeric_version Reloading multiarray Reloading umath ... snip a bunch of other modules ... Reloading copy Reloading org <module 'Numeric' from '/usr/local/[snip...]/Numeric.pyc'> >>> WHY ARE THEY USEFUL? The interactive capability of Python is one of its shining strengths. However, it seems that the interactive prompt was not intended to be the primary working environment for Python programmers and it lacks certain convenience features, like shell escapes, that would enable this usage. As packages such as Matlab demonstrate, though, an interactive prompt can be a very effective working environment, and thanks to advances such as pydoc, Python is achingly close to providing an interactive prompt that one can work at for hours at a time. These files aim to bring the Python prompt closer to dedicated interactive environments such as Matlab in terms of convenience and productivity. Working interactively is much different than writing a program. Every keystroke is precious. This is why the syntax of shells are so different from that of most programming languages. This, plus the utility of shell escapes, is the motivation for LazyPython. Also, when working interactively there are many times when one wishes to reload his entire project at once rather than one module at a time. This is when deep_reload comes in useful. Using these utilities I have successfully and comfortably used Python as an interactive scientific computing environment. WHERE CAN I GET THEM? Both files can be obtained at: http://www.idyll.org/~n8gray/code/index.html __________________________________________________________________ Cheers, -n8 -- Nathaniel Gray California Institute of Technology Computation and Neural Systems --

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ANN: gracePlot.py
by Nathaniel Gray Sept. 29, 2001

Sept. 29, 2001

__________________________________________________________________ Announcing: gracePlot.py v0.5 An interactive, user-friendly python interface to the Grace plotting package. __________________________________________________________________ * WHAT IS IT? gracePlot.py is a high-level interface to the Grace plotting package available at: http://plasma-gate.weizmann.ac.il/Grace/ The goal of gracePlot is to offer the user an interactive plotting capability similar to that found in commercial packages such as Matlab and Mathematica, including GUI support for modifying plots and a user-friendly, pythonic interactive command-line interface. * WHAT FEATURES DOES IT OFFER? Since this package is in the early stages of development it does not yet provide high-level command-line access to all of Grace's plotting functionality. It does, however, offer: * Line Plots (with or without errorbars) * Histograms (with or without errorbars) * Multiple graphs (sets of axes) per plot * Multiple simultaneous plots (grace sessions) * Overlaid graphs, using a 'hold' command similar to Matlab's * Legends, titles, axis labels, and axis limits * Integration with Numerical Python and Scientific Python's Histogram object Note that all advanced features and customizations are available through the Grace UI, so you can compose rough plots in Python and then polish them up in Grace. * HOW DO I USE IT? Here is an example session that creates a plot with two sets of axes, putting a line plot in one and a histogram in the other: Python 2.1.1 (#2, Jul 31 2001, 14:10:42) [GCC 2.96 20000731 (Linux-Mandrake 8.0 2.96-0.48mdk)] on linux2 Type "copyright", "credits" or "license" for more information. >>> from gracePlot import gracePlot >>> p = gracePlot() # A grace session opens >>> p.plot( [1,2,3,4,5], [10, 4, 2, 4, 10], [1, 0.7, 0.5, 1, 2], ... symbols=1 ) # A plot with errorbars & symbols >>> p.title('Funding: Ministry of Silly Walks') >>> p.ylabel('Funding (Pounds\S10\N)') >>> p.multi(2,1) # Multiple plots: 2 rows, 1 column >>> p.xlimit(0, 6) # Set limits of x-axis >>> p.focus(1,0) # Set current graph to row 1, column 0 >>> p.histoPlot( [7, 15, 18, 20, 21], x_min=1, ... dy=[2, 3.5, 4.6, 7.2, 8.8]) # A histogram w/errorbars >>> p.xlabel('Silliness Index') >>> p.ylabel('Applications/yr') >>> p.xlimit(0, 6) # Set limits of x-axis The result of this session can be found at: http://www.idyll.org/~n8gray/code/index.html * WHERE DO I GET IT? gracePlot is available here: http://www.idyll.org/~n8gray/code/index.html ___________________________________________________________ Cheers, -n8 -- Nathaniel Gray California Institute of Technology Computation and Neural Systems --

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ANNOUNCE: [Application] pyproxy
by BAARDA, Don Sept. 27, 2001

Sept. 27, 2001

pyproxy -------- A combined TCP and ICP to ICMP mapping proxy in Python. pyproxy is a combined TCP and ICP to ICMP mapping proxy implemented in Python. The TCP proxy is a basic TCP forwarding proxy. The ICP to ICMP mapping proxy converts incoming ICP queries to ICMP pings, returning ICP MISS responses when the ping returns. pyproxy is designed primarily to allow Squid to use ICP load balancing to upstream proxies that don't allow or support ICP or UDP echo. This was announced some time ago on freshmeat and put on Parnassus. At the time of posting on Parnassus, I thought I requested it be announced on python-announce, but it doesn't seem to have happened. It is in active use, though it is still in beta. It is a simple example of how to use the Python asyncore module. URL: http://freshmeat.net/projects/pyproxy/ License: GPL Platform: Linux Requires: Categories: Net Applications, Sockets, Proxy Donovan Baarda (abo(a)minkirri.apana.org.au) http://sourceforge.net/users/abo -- <a href="http://freshmeat.net/projects/pyproxy/">pyproxy</a> -- A combined TCP and ICP to ICMP mapping proxy in Python

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Cygwin Python 2.1.1-2
by Jason Tishler Sept. 26, 2001

Sept. 26, 2001

I have updated Python in the standard Cygwin distribution to 2.1.1-2. Python is located in the contrib/python directory on the Cygwin mirrors. Cygwin's setup.exe will automatically install or update Python the next time one installs or updates from a mirror. If interested, see the following for a copy of the original announcement: http://www.cygwin.com/ml/cygwin-announce/2001/msg00118.html I kindly request that people post to python-list(a)python.org or cygwin(a)cygwin.com as appropriate instead of emailing me directly. Thanks, Jason

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[Module] colorize.py
by Parnassus Submission Sept. 26, 2001

Sept. 26, 2001

colorize.py ----------- Color printing to console. colorize.py can print colorized text to console, including background, using terminal codes. No curses needed. URL: http://silmarill.org/colorize.py License: GPL Platform: Linux Categories: Text Based UI andrei kulakov -- <a href="http://silmarill.org/colorize.py">colorize.py</a> -- Color printing to console.

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ANN: milter-0.3.1
by Stuart D. Gathman Sept. 25, 2001

Sept. 25, 2001

Sendmail Milters in Python Milter is a python module providing an interface to sendmail-8.11 libmilter. A Python milter lets python code work with sendmail to remove spam, scan for viruses, and otherwise monitor and/or alter mail messages as they are received by sendmail. This is more efficient than procmail solutions because messages are handled as they are received by sendmail. Thus, a message with a subject containing '$$$' can be rejected before it is fully received. Version 0.3.1 of milter has been extensively tested on a production aix-4.1.5 mail server with python-2.1.1 and sendmail-8.11.5. Lots of threading bugs and memory leaks were fixed. It should even still work on linux! :-) For more information, visit: http://www.bmsi.com/python/milter.html ____________________________________________ <P><A HREF="http://www.bmsi.com/python/milter.html">milter-0.3.1</A> Python interface to sendmail libmilter API. (25-Sep-01) -- Stuart D. Gathman <stuart(a)bmsi.com> Business Management Systems Inc. Phone: 703 591-0911 Fax: 703 591-6154 "Confutatis maledictis, flamis acribus addictis" - Mozart background song for the Microsoft "Where do you want to go from here?" commercial.

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ANN: eGenix.com mx EXPERIMENTAL Package 0.5.0
by M.-A. Lemburg Sept. 24, 2001

Sept. 24, 2001

________________________________________________________________________ ANNOUNCING: eGenix.com mx EXPERIMENTAL Extension Package for Python Version 0.5.0 Experimental Python extensions providing important and useful services for Python programmers. ________________________________________________________________________ WHAT IS IT ?: The eGenix.com mx EXPERIMENTAL Extensions for Python are a collection of alpha and beta quality software tools for Python which will be integrated into the other mx Extension Packages after they have matured to professional quality tools. Python is an object-oriented Open Source programming language which runs on all modern platforms (http://www.python.org/). By integrating ease-of-use, clarity in coding, enterprise application connectivity and rapid application design, Python establishes an ideal programming platform for todays IT challenges. ________________________________________________________________________ WHAT'S NEW ? This release fixes a serious bug in the mxTidy package which made it unusable for most non-ASCII content. In addition to this bug some minor tweaks were done, mostly to the distutils setup. ________________________________________________________________________ EGENIX.COM MX EXPERIMENTAL PACKAGE OVERVIEW: mxNumber - Python Interface to GNU MP Number Types mxNumber provides direct access to the high performance numeric types available in the GNU Multi-Precision Lib (GMP). This library is licensed under the LGPL and runs on practically all Unix platforms. eGenix.com has ported the GMP lib to Windows, to also provide our Windows users with the added benefit of being able to do arbitrary precision calculations. The package currently provide these numerical types: 1. Integer(value) -- arbitrary precision integers much like Python longs only faster 2. Rational(nom,denom) -- rational numbers with Integers as numerator and denominator 3. Float(value[,prec]) -- floating point number with at least prec bits precision 4. FareyRational(value, maxden) -- calculate the best rational represenation n/d of value such that d < maxden mxTidy - Interface to HTML Tidy (HTML/XML cleanup tool) mxTidy provides a Python interface to a thread-safe, library version of the HTML Tidy. command line tool. HTML Tidy helps you to cleanup coding errors in HTML and XML files and produce well-formed HTML, XHTML or XML as output. This allows you to preprocess web-page for inclusion in XML repositories, prepare broken XML files for validation and also makes it possible to write converters from well-known word processing applications such as MS Word to other structured data representations by using XML as intermediate format. ________________________________________________________________________ WHERE CAN I GET IT ? The download archives and instructions for installing the packages can be found at: http://www.lemburg.com/files/python/ ________________________________________________________________________ WHAT DOES IT COST ? The EXPERIMENTAL packages uses different licenses in its subpackages. Please refer to the subpackage documentation for details. Some of them may be integrated into the BASE package, others will be integrated into the COMMERCIAL package. The package comes with full source code ________________________________________________________________________ WHERE CAN I GET SUPPORT ? There currently is no support for these packages, since they are still in alpha or beta. Feedback is welcome, though, so don't hesitate to write us about the quirks you find. ________________________________________________________________________ REFERENCE: <P><A HREF="http://www.lemburg.com/files/python/">eGenix.com mx EXPERIMENTAL Extension Package 0.5.0</A> - eGenix.com mx EXPERIMENTAL Extension Package 0.5.0 with precompiled binaries for Windows and Linux. (24-Sep-2001) ________________________________________________________________________ Enjoy, -- Marc-Andre Lemburg CEO eGenix.com Software GmbH ______________________________________________________________________ Company & Consulting: http://www.egenix.com/ Python Software: http://www.lemburg.com/python/

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Near Final PEP 247 - API for Cryptographic Hash Functions
by Andrew Kuchling Sept. 20, 2001

Sept. 20, 2001

PEP 247 specifies a standard Python API for cryptographic hashing algorithms such as MD5 or SHA, to make it easier to switch between different implementations. After a round of comments from the gang on the python-crypto list, I believe the PEP is complete, and am requesting one last round of comments on it. The HTML version is at: http://python.sourceforge.net/peps/pep-0247.html If no one points out any problems with the text, then the PEP can be considered finished, and we can begin checking that hash modules comply with the API. --amk

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[ANNOUNCE] TMDA 0.37 - A SPAM reduction system for qmail
by Jason R. Mastaler Sept. 20, 2001

Sept. 20, 2001

Since I last announced it here, I've improved my Tagged Message Delivery Agent, making it much easier for legitimate, but unknown senders to get mail through to you. It now validates these messages using a simple challenge/response process similar to SpamCop's. * TMDA Summary: TMDA is an OSI certified Python application for qmail systems designed to significantly reduce the amount of SPAM/UCE you receive. A "whitelist" filter allows known contacts immediately into your mailbox, and all others must reply to a simple confirmation to validate their message. Once they respond to the confirmation, their original message is delivered to you. For more information including download locations and installation instructions, visit the TMDA homepage: <URL:http://tmda.sourceforge.net/> Enjoy, Jason R. Mastaler <P><A HREF="http://tmda.sourceforge.net/">TMDA 0.37</A> - SPAM reduction system for qmail. (20-Sep-2001)

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