Mailman 3 March 2000 - Python-announce-list

Stackless Python 1.1 + Continuations 0.8
by Christian Tismer 29 Mar '00

29 Mar '00

ANNOUNCING: Stackless Python 1.1 A Python Implementation That Does Not Use The C Stack * plus the real toy * Continuation Module 0.8 Continuations as First Class Objects with support for MicroThreads What is it? A plugin-replacement for core Python. It should run any program which runs under Python 1.5.2 . But it does not need space on the C stack. For further info, see the new site at http://www.stackless.com As one of its highlights, here a little story about <speed> *** S P E E D *** Version 1.1 has again got a lot of optimizations. I do not make any claims here about percentage. But if you are on Windows, get the win32 installer, and after installation just try the following from a DOS shell: * cd into the BACKUP directory where the old dll lives: D:\python\spc\BACKUP>python ../pystone.py 55555 Pystone(1.1) time for 55555 passes = 10.6665 This machine benchmarks at 5208.38 pystones/second * now leave BACKUP and therefore use the new dll: D:\python\spc>python ./pystone.py 55555 Pystone(1.1) time for 55555 passes = 9.86503 This machine benchmarks at 5631.51 pystones/second </speed> If you are just interested in a speed gain, you are very welcome as a new Stackless Python user. If you are interested in the other features like coroutines, generators, microthreads and even continuations, this is the real toy for you. The will be soon a collection of example code and documentation on http://www.stackless.com/ ciao - Christian Tismer / Mission Impossible 5oftware Team <A HREF="http://www.tismer.com/research/stackless/">Stackless Python 1.1 + Continuations 0.8</A> - a version of Python 1.5.2 that does not need space on the C stack, first-class callable continuation objects for Python, and Microthread-support. (28-Mar-2000)

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Stackless 1.1 Homepage: www.stackless.com
by Christian Tismer 29 Mar '00

29 Mar '00

*** ANNOUNCING *** ANNOUNCING *** ANNOUNCING *** The Stackless Python Homepage has its own website: http://www.stackless.com Stackless Python 1.1 is about to be published there, soon. Version 1.1 is a major overhaul of speed and versatility. <A HREF="http://www.stackless.com/">Stackless Python 1.1 + Continuations 0.8</A> - a version of Python 1.5.2 that does not need space on the C stack, and first-class callable continuation objects for Python. (28-Mar-2000) Christian Tismer Mission Impossible 5oftware Team

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Re: ReportLab Release 0.90 - Dynamic PDF from Python
by langenberg＠lni.de 28 Mar '00

28 Mar '00

I got a lot of mails like the following, but I did NOT Subscribe for this informations. Who is able to do, please stop the messages! Mit freundlichen Grüßen R. Langenberg LNI GmbH 90530 Wendelstein Johann Trinker Str. 5 Fon: 09129/1047 Fax: 09129/5159 ======================================== From: "Andy Robinson" <andy(a)reportlab.com> To: Internet Mail::[langenberg@lni.de]; Internet Mail::[<python-announce-list@p ython.org>]; Internet Mail::[<python-list(a)python.org>]; Internet Mail::["Report Lab Users" <reportlab-users(a)egroups.com>]; Internet Mail::[<pythonpiddle@egroup s.com>] Subject: ReportLab Release 0.90 - Dynamic PDF from Python Date: 3/28/00 15:20 Release 0.90 of the ReportLab PDF library is now available at ftp://ftp.reportlab.com/reportlab.zip or ftp://ftp.reportlab.com/reportlab.tgz ReportLab is a library for directly generating PDF files in Python. It can be used for all manner of reporting requirements including - dynamic PDF reports in real time from web sites - back office forms printing and reporting - adding a cross-platform "Print Preview" capability to applications. This release adds experimental support for two major features: - hypertext links within documents - support for "forms", which allow any graphics to be stored once in a named form at the beginning of the file, and drawn 'by reference'. These can dramatically compact and speed up large jobs. In addition, there are many minor additions including library modules for standard colors, units and pagesizes. Many demos and third-party contributions are available at our home page, http://www.reportlab.com/. Check out the live demos now! The discussion group for the project is http://www.egroups.com/group/reportlab-users; subscribe on the web, or send an email to reportlab-users-subscribe(a)egroups.com with 'Subscribe' in the subject line. Andy Robinson CEO, ReportLab Inc. -- http://www.python.org/mailman/listinfo/python-announce-list

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ReportLab Release 0.90 - Dynamic PDF from Python
by Andy Robinson 28 Mar '00

28 Mar '00

Release 0.90 of the ReportLab PDF library is now available at ftp://ftp.reportlab.com/reportlab.zip or ftp://ftp.reportlab.com/reportlab.tgz ReportLab is a library for directly generating PDF files in Python. It can be used for all manner of reporting requirements including - dynamic PDF reports in real time from web sites - back office forms printing and reporting - adding a cross-platform "Print Preview" capability to applications. This release adds experimental support for two major features: - hypertext links within documents - support for "forms", which allow any graphics to be stored once in a named form at the beginning of the file, and drawn 'by reference'. These can dramatically compact and speed up large jobs. In addition, there are many minor additions including library modules for standard colors, units and pagesizes. Many demos and third-party contributions are available at our home page, http://www.reportlab.com/. Check out the live demos now! The discussion group for the project is http://www.egroups.com/group/reportlab-users; subscribe on the web, or send an email to reportlab-users-subscribe(a)egroups.com with 'Subscribe' in the subject line. Andy Robinson CEO, ReportLab Inc.

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Release of Pyclimate0.0
by Jon Saenz 28 Mar '00

28 Mar '00

<A HREF="http://lcdx00.wm.lc.ehu.es/~jsaenz/pyclimate">Pyclimate 0.0</A> - Climate variability analysis using Numeric Python (28-Mar-00) Tuesday, 03/28/2000 Hello, all. We are making the first announce of a pre-alpha release (version 0.0) of our package pyclimate, which presents some tools used for climate variability analysis and which make extensive use of Numerical Python. It is released under the GNU Public License. We call them a pre-alpha release. Even though the routines are quite debugged, they are yet growing and we are thinking in making a stable release shortly after receiving some feedback from users. The package contains: IO functions ------------ -ASCII files (simple, but useful) -ncstruct.py: netCDF structure copier. From a COARDS compliant netCDF file, this module creates a COARDS compliant file, copying the needed attributes, dimensions, auxiliary variables, comments, and so on in one call. Time handling routines ---------------------- * JDTime.py -> Some C/Python functions to convert from date to Scaliger's Julian Day and from Julian Day to date. We are not trying to replace mxDate, but addressing a different problem. In particular, this module contains a routine especially suited to handling monthly time steps for climatological use. * JDTimeHandler.py -> Python module which parses the units attribute of the time variable in a COARDS file and which offsets and scales adequately the time values to read/save date fields. Interface to DCDFLIB.C ---------------------- A C/Python interface to the free DCDFLIB.C library is provided. This library allows direct and inverse computations of parameters for several probability distribution functions like Chi^2, normal, binomial, F, noncentral F, and many many more. EOF analysis ------------ Empirical Orthogonal Function analysis based on the SVD decomposition of the data matrix and related functions to test the reliability/degeneracy of eigenvalues (truncation rules). Monte Carlo test of the stability of eigenvectors to temporal subsampling. SVD decomposition ----------------- SVD decomposition of the correlation matrix of two datasets, functions to compute the expansion coefficients, the squared cumulative covariance fraction and the homogeneous and heterogeneous correlation maps. Monte Carlo test of the stability of singular vectors to temporal subsampling. Multivariate digital filter --------------------------- Multivariate digital filter (high and low pass) based on the Kolmogorov-Zurbenko filter Differential operators on the sphere ------------------------------------ Some classes to compute differential operators (gradient and divergence) on a regular latitude/longitude grid. PREREQUISITES ============= To be able to use it, you will need: 1. Python ;-) 2. netCDF library 3.4 or later 3. Scientific Python, by Konrad Hinsen 4. DCDFLIB.C version 1.1 IF AND ONLY IF you really want to change the C code (JDTime.[hc] and pycdf.[hc]), then, you will also need SWIG. COMPILATION =========== There is no a automatic compilation/installation procedure, but the Makefile is quite straightforward. After manually editing the Makefile for different platforms, the commands make make test -> Runs a (not infalible) regression test make install will do it. SORRY, we don't use it under Windows, only UNIX. Volunteers that generate a Windows installation file would be appreciated, but we will not do it. DOCUMENTATION ============= LaTeX, Postscript and PDF versions of the manual are included in the distribution. However, we are preparing a new set of documentation according to PSA rules. AVAILABILITY ============ http://lcdx00.wm.lc.ehu.es/~jsaenz/pyclimate (Europe) http://pyclimate.zubi.net/ (USA) http://starship.python.net/crew/~jsaenz (USA) Any feedback from the users of the package will be really appreciated by the authors. We will try to incorporate new developments, in case we are able to do so. Our time availability is scarce. Enjoy. Jon Saenz, jsaenz(a)wm.lc.ehu.es Juan Zubillaga, wmpzuesj(a)lg.ehu.es

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by carrie.neptune＠eudoramail.com 27 Mar '00

27 Mar '00

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[Web Site] The Programming Pub - apache, linux, perl, php, python, sendmail, tcl
by Stephen Cooper-McCann 27 Mar '00

27 Mar '00

The Programming Pub ------------------- contains python scripts, links, books, and forum for apache, linux, perl, php, python, sendmail, tcl open source programming and software. forums, links, open source scripts, books, and searching. URL: http://programmingpub.com/ Categories: Info/Books/Tutorials, cgi, internet, applications, web pages, general Stephen Cooper-McCann (webmaster(a)programmingpub.com) http://programmingpub.com/ -- <a href="http://programmingpub.com/">The Programming Pub</a> -- contains python scripts, links, books, and forum

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Quick Question
by Bill Thomas 23 Mar '00

23 Mar '00

Thursday, 3/23/00 Hi, I got your name from the SF Web Firmlist. Any Idea where the best place is, to find Consultant level Salespeople for a San Fran based Web Sales Company. We've been trying for a while and no luck... Can you help, thanks, Bill Thomas

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[Module] RobotRules
by Vivake Gupta 23 Mar '00

23 Mar '00

RobotRules ---------- Parses robots.txt files. NB: This is a straight conversion of the perl module WWW::RobotRules This module parses a robots.txt file as specified in http://info.webcrawler.com/mak/projects/robots/norobots.html URL: http://nano.com/~vivake/python/ Download: http://nano.com/~vivake/python/RobotRules.py License: Python Style Categories: Web Vivake Gupta (vivake(a)nano.com) http://nano.com/~vivake/ -- <a href="http://nano.com/~vivake/python/">RobotRules</a> -- Parses robots.txt files.

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Python 1.5.2 documentation update
by Fred L. Drake, Jr. 23 Mar '00

23 Mar '00

I've released the final version of the documentation for Python 1.5.2. It is available for download and online browsing; see: http://www.python.org/doc/ for links to the download page and the online copy. Many clarifications have been made throughout the documents, with the most substantial improvements being made in the Python/C API Reference Manual; it now includes reference count information for every documented functions thanks in large part to Skip Montanaro! Greg Stein and Vladimir Marangozov have also made substantial contributions to the API manual for this release. I'd like to extend my thanks to all the contributors -- without their help, this release would not be here today. I've received a lot of help with both proofreading and new content; thanks, everyone! -Fred -- Fred L. Drake, Jr. <fdrake at acm.org> Corporation for National Research Initiatives

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