Mailman 3 May 2005 - Python-announce-list

ANN: XIST 2.10 released
by Walter Dörwald May 20, 2005

May 20, 2005

XIST 2.10 has been released! What is it? =========== XIST is an extensible HTML/XML generator written in Python. XIST is also a DOM parser (built on top of SAX2) with a very simple and Pythonesque tree API. Every XML element type corresponds to a Python class, and these Python classes provide a conversion method to transform the XML tree (e.g. into HTML). XIST can be considered "object oriented XSL". What's new in version 2.10? =========================== * The content of the processing instruction ll.xist.ns.code.pyexec will not be executed at construction time, but at conversion time. The code in ll.xist.ns.code.pyexec or ll.xist.ns.code.pyeval will no longer be executed in the ll.xist.sandbox module (which has been removed), but in a sandbox dictionary in the converter context of the ll.xist.ns.code namespace. * The tests have been ported to py.test. * The method mapped is now callable without arguments. In this case a converter will be created on the fly. You can pass constructor arguments for this converter to mapped as keyword arguments. * The publishing API has changed again: ll.xist.publishers.Publisher.publish now longer accepts an argument stream to which the byte strings are written, but it is a generator now. The publisher methods write and writetext have been renamed to encode and encodetext and return the encoded byte string, instead of writing it directly to the stream. There's a new generator method bytes for nodes now, which can be passed the same arguments as asBytes. These changes should help when using XIST in WSGI applications. * The iterator returned from Element.__getitem__, Frag.__getitem__ and the walk method now supports __getitem__ itself, so you can write table[html.tr][0] to get the first row from a table or page.walk(xsc.FindTypeAll(html.td))[-1] to get the last table cell from a complete HTML page. * Several bugs in the namespaces ll.xist.ns.meta, ll.xist.ns.form and ll.xist.ns.specials have been fixed. * The namespace modules ll.xist.ns.css and ll.xist.ns.cssspecials have been removed. For changes in older versions see: http://www.livinglogic.de/Python/xist/History.html Where can I get it? =================== XIST can be downloaded from http://ftp.livinglogic.de/xist/ or ftp://ftp.livinglogic.de/pub/livinglogic/xist/ Web pages are at http://www.livinglogic.de/Python/xist/ ViewCVS access is available at http://www.livinglogic.de/viewcvs/ For information about the mailing lists go to http://www.livinglogic.de/Python/xist/Mailinglists.html Bye, Walter Dörwald

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ReleaseForge 0.7.1 - A SourceForge release tool
by stuff＠mailzilla.net May 20, 2005

May 20, 2005

ReleaseForge 0.7.1 is now available for download. This is a minor bugfix release. This version corrects a formatting bug when submitting project news. Additionally, auto-generated PyQt files were re-generated with pyuic version 3.14 (which fixes a QSizePolicy problem). -------------------------------------------- About ReleaseForge: ReleaseForge is a GUI application designed for project administrators and release engineers of projects that are hosted at SourceForge. It is intended to make it easier and faster to create a new release and edit existing releases rather than using the SourceForge Web interface. ReleaseForge streamlines the release effort by prompting you for information regarding your new release (version info, change log, release notes, files to include, etc). It then seamlessly negotiates with the SourceForge Web server, creating your release, posting your release notes/change log, uploading your files to the SourceForge FTP server, selecting the files for inclusion in your release on the SourceForge Web server, updating the file attributes of each of the files and then, if appropriate, notifying monitoring users of the new release. ------------------------------------------------------- http://releaseforge.sourceforge.net

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ANN: Veusz 0.6 - a scientific plotting package
by Jeremy Sanders May 19, 2005

May 19, 2005

Veusz 0.6 --------- Velvet Ember Under Sky Zenith ----------------------------- http://home.gna.org/veusz/ Veusz is Copyright (C) 2003-2005 Jeremy Sanders <jeremy(a)jeremysanders.net> Licenced under the GPL (version 2 or greater) Veusz is a scientific plotting package written in Python (currently 100% Python). It uses PyQt for display and user-interfaces, and numarray for handling the numeric data. Veusz is designed to produce publication-ready Postscript output. Veusz provides a GUI, command line and scripting interface (based on Python) to its plotting facilities. The plots are built using an object-based system to provide a consistent interface. Changes from 0.5: Please refer to ChangeLog for all the changes. Highlights include: * Major UI enhancements - much faster to control now, more dialogs * Veusz can be embedded within other non-PyQt Python programs. Its plots can be updated at any time from the embedding program using the command line interface. * Dialogs for manipulating datasets using expressions, and direct editing * Multiple documents can be opened simultaneously * Lots of bug fixes (e.g. log axes improvement, rotation of labels) * Unicode support in plots Features of package: * X-Y plots (with errorbars) * Stepped plots (for histograms) * Line plots * Function plots * Fitting functions to data * Stacked plots and arrays of plots * Plot keys * Plot labels * LaTeX-like formatting for text * EPS output * Simple data importing * Scripting interface * Save/Load plots * Dataset manipulation * Embed Veusz within other programs To be done: * Contour plots * Images * UI improvements * Import filters (for qdp and other plotting packages, fits, csv) Requirements: Python (probably 2.3 or greater required) http://www.python.org/ Qt (free edition) http://www.trolltech.com/products/qt/ PyQt (SIP is required to be installed first) http://www.riverbankcomputing.co.uk/pyqt/ http://www.riverbankcomputing.co.uk/sip/ numarray http://www.stsci.edu/resources/software_hardware/numarray Microsoft Core Fonts (recommended) http://corefonts.sourceforge.net/ For documentation on using Veusz, see the "Documents" directory. The manual is in pdf, html and text format (generated from docbook). If you enjoy using Veusz, I would love to hear from you. Please join the mailing lists at https://gna.org/mail/?group=veusz to discuss new features or if you'd like to contribute code. The newest code can always be found in CVS. If non GPL projects are interested in using Veusz code, please contact me. I am happy to consider relicencing code for other free projects, if I am legally allowed to do so. Cheers Jeremy

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ANN: Naja 1.2.1 is now available
by webmaster＠keyphrene.com May 19, 2005

May 19, 2005

Naja is a download manager and a website grabber written in Python/wxPython.You can add some plugins (newsreader, FTP - FTPS - SFTP client,WebDAV client) and take control of your downloads from your office. Naja supports proxy (HTTP, HTTPS, FTP,SOCKS v4a, SOCKSv5), and use some authentication methods.The downloading maybe achieved by splitting the file being downloaded into several parts and downloading these parts at the same time (HTTP,HTTPS,FTP). Donwload speeds are increased by downloading the file from the mirrors sites,when the sites propose it. Others features: Csv filter Cheksums (CRC32, MD2, MD4, MD5, SHA, SHA1, MDC2, RMD160) Crypt (Only for the eXtended version) and Decrypt (AES, DES, 3DES ...) newsreader, newsposter (uue, yEnc) CGI & WebDAV Server Web Interface basic and digest authentication for client and server Compress and decompress (zip, tar.gz, tar.bz2) Picture viewer Text Editor Naja is available for download from the Keyphrene web site: http://www.keyphrene.com/products/naja

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pyExcelerator 0.5.3a is now available
by Roman V. Kiseliov May 19, 2005

May 19, 2005

Hi! I'm pleased to announce that pyExcelerator 0.5.3a is now available for download. ------------------------------------------------------- What can you do with pyExcelerator: Generating Excel 97+ files with Python 2.4+ (need decorators), importing Excel 95+ files, support for UNICODE in Excel files, using variety of formatting features and printing options, Excel files and OLE2 compound files dumper. No need in Windows/COM --------------------------------------------------------- 0.5.3a (19.05.2005) --------- * typos in biff-dumper.py fixed :( * now pyExcelerator can correctly import XLS files with charts * added ability to override default file's encoding * new examples (or tools :)) -- ./examples/xls2csv.py, ./examples/xls2html.py ---------------------------------------------------------- DOWNLOAD: http://sourceforge.net/projects/pyexcelerator/ http://www.kiseliov.ru/downloads.html /---------------------------------------------------------- / Regards, Roman V. Kiseliov roman(a)kiseliov.ru

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REMINDER: BayPIGgies: May 19, 7:30pm (FIRST meeting at Google)
by Aahz May 18, 2005

May 18, 2005

NOTE: we are no longer meeting at Stanford; the May meeting is at Google in Mountain View. The next meeting of BayPIGgies will be Thurs, May 19 at 7:30pm. NOTE: to celebrate our first meeting at Google, Google will be providing a buffet dinner starting at 6:45pm. Alex will be repeating his OSCON/PyCon presentations about OOP and design patterns -- with improvements! BayPIGgies meetings alternate between IronPort (San Bruno, California) and Google (Mountain View, California). For more information and directions, see http://www.baypiggies.net/ Advance notice: The June 9 meeting agenda has been set. Drew Perttula will be talking about his Python-based lighting system controller. Advance notice: The July 14 meeting has a tentative plan for Alex Martelli to deliver his "Black Magic" talk. Advance notice: The August 11 meeting agenda has not been set. Please send e-mail to baypiggies(a)baypiggies.net if you want to suggest an agenda (or volunteer to give a presentation). -- Aahz (aahz(a)pythoncraft.com) <*> http://www.pythoncraft.com/ "And if that makes me an elitist...I couldn't be happier." --JMS

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pyExcelerator 0.5.2a is available
by Roman V. Kiseliov May 18, 2005

May 18, 2005

Hi! I'm pleased to announce that pyExcelerator 0.5.2a is now available for download. ------------------------------------------------------- What can you do with pyExcelerator: Generating Excel 97+ files with Python 2.4+ (need decorators), importing Excel 95+ files, support for UNICODE in Excel files, using variety of formatting features and printing options, Excel files and OLE2 compound files dumper. No need in Windows/COM --------------------------------------------------------- 0.5.2a (18.05.2005) --------- * improved perfomance (especially on nonfragmented streams) * now pyExcelerator can process XLS files with short streams * OLE2 compound document dumper supports short streams * reading UTF-16-LE and Latin-1 with more accuracy * in DSF (double stream file) XLS data extracted from stream "Workbook" * improved floating point/integer values decoding code ---------------------------------------------------------- Also thanks for valuable discussion to /John Machin. / Regards, Roman V. Kiseliov roman(a)kiseliov.ru

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Introducing jyset
by Mike Hostetler May 17, 2005

May 17, 2005

>From the README: jyset -- a Set class for Jython Copyright (c) 2005 by Mike Hostetler <thehaas(a)binary.net> All Rights Reserved. jyset is distributed under the Apache 2.0 license jyset is a module that implements a Set class in Jython that emulates the Set class introduced in CPython 2.3. Note that this is an implementation of Set class -- not BaseSet or ImmutableSet. For more information about the Set class, see the current Python documentation on that module: http://docs.python.org/lib/module-sets.html jyset currenly lacks some type checking -- for example, if you try to check to see if s2 is a superset of s1 and s2 is really an integer, you will get a more cryptic error. You have been warned (if someone would like to help with this . . ) See the main function of jyset.py or the sample.py for usage help, although the link to the Python Docs would probably be more helpful! You can download it from here: http://users.binary.net/thehaas/lab/files/jyset.zip -- Mike Hostetler thehaas(a)binary.net http://www.binary.net/thehaas

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Spyce 2.0 final
by Jonathan Ellis May 16, 2005

May 16, 2005

Spyce 2.0 is available at http://spyce.sourceforge.net/docs/get.html. Spyce is a python web application server, combining the features of popular frameworks such as ASP.NET and JSP with Pythonic elegance. Spyce may be deployed as a standalone server (or proxied behind Apache), or under mod_python, FastCGI, or CGI. Documentation and demos are at http://spyce.sourceforge.net/. Highlights of Spyce 2.0 include: Active Handlers - reusable components without the leaky abstractions seen in ASP.NET et al. - http://spyce.sourceforge.net/docs/doc-lang_handlers.html Active Tag compiler - http://spyce.sourceforge.net/docs/doc-tag_new2.html OpenACS-like (Tiles-ish, for you JSP people) parent/child layout system - http://spyce.sourceforge.net/docs/doc-tag_core.html#parent -Jonathan

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[ANN] pysqlite 2.0.0 final released!
by Gerhard Haering May 16, 2005

May 16, 2005

Hello everyone, After pondering about a redesign of pysqlite for years, and now after half a year of development, I am happy to finally announce the first stable release of pysqlite2. pysqlite a DB-API 2.0-compliant database interface for SQLite. SQLite is a relational database management system contained in a relatively small C library. It is a public domain project created by D. Richard Hipp. Unlike the usual client-server paradigm, the SQLite engine is not a standalone process with which the program communicates, but is linked in and thus becomes an integral part of the program. The library implements most of SQL-92 standard, including transactions, triggers and most of complex queries. pysqlite makes this powerful embedded SQL engine available to Python programmers. It stays compatible with the Python database API specification 2.0 as much as possible, but also exposes most of SQLite's native API, so that it is for example possible to create user-defined SQL functions and aggregates in Python. If you need a relational database for your applications, or even small tools or helper scripts, pysqlite is often a good fit. It's easy to use, easy to deploy, and does not depend on any other Python libraries or platform libraries, except SQLite. SQLite itself is ported to most platforms you'd ever care about. It's often a good alternative to MySQL, the Microsoft JET engine or the MSDE, without having any of their license and deployment issues. pysqlite homepage: http://pysqlite.org/ On the homepage, there's also a bug tracking system and a wiki. Sources: http://initd.org/pub/software/pysqlite/releases/2.0/2.0.0/pysqlite-2.0.0.ta… Windows binaries for Python 2.3: http://initd.org/pub/software/pysqlite/releases/2.0/2.0.0/pysqlite-2.0.0.wi… Windows binaries for Python 2.4: http://initd.org/pub/software/pysqlite/releases/2.0/2.0.0/pysqlite-2.0.0.wi… Advantages of pysqlite 2.0 over pysqlite 1.x ============================================ - Straightforward: No surprises: pysqlite 2.0 does not convert any types behind your back. With default settings, it only supports the database types SQLite supports out of the box: INTEGER, REAL, TEXT, BLOB and NULL. - Documentation: pysqlite 2.0 now has usable documentation. The usage manual covers the full API. - Advanced type system: It is, however, possible to turn on type detection like in the old pysqlite. Types can be detected by their declared type in the "CREATE TABLE" statement. Or, for values that don't originate directly from tables or views, it's possible to detect the type from the column name via a neat trick. For details, look into the pysqlite usage manual. No more "-- types" hack like in the old pysqlite. Type conversion from Python to SQLite works via PEP-246-like object adaptation. - Fine-grained transaction control: pysqlite 2.0 allows to control which type of transactions are opened via the transaction_isolation property - None for auto-commit mode or one of SQLite's transaction types "DEFERRED", "IMMEDIATE", "EXCLUSIVE". - executemany() uses precompiled statements for optimal speed. - Result sets are not prefetched any more, rows are only fetched on demand. So, pysqlite 2.0 behaves a lot nicer with respect to memory usage. - pysqlite 2.0 supports both the "qmark" and "named" paramstyle. So you can supply query parameters as sequences or as mappings. - Performance: pysqlite 2.0 is almost entirely written in hand-coded C. Under most circumstances, it is noticeably faster than the old pysqlite. On the pysqlite wiki, there's a page with benchmarks: http://initd.org/tracker/pysqlite/wiki/PysqliteBenchmarks The benchmark shows that executemany() is 5 times as fast as in pysqlite 1.1. Open issues: ============ pysqlite 2.0 does currently not compile under MacOS X Tiger (10.2 seems to work for me on the SF compile farm), because of unresolved symbols. Unfortunately, I don't have access to that platform. I will need a patch with a real fix from a MacOS X users to fix the problem. And, for those who have followed the alpha/beta testing: Changes since pysqlite 2.0beta1 =============================== - Removed dead code. - Improved error handling. - Fixed a leak that occurred when erroneous SQL was sent to execute(many)(). - Recognize REPLACE as DML statement and start transactions appropriately. - Issue a Warning when users send more than one SQL statement to execute(many)(). - Changed a few mappings SQLite error => DB-API exception. - Added lots of new unit tests so all testable code paths are tested/executed. This was done when doing coverage testing using gcov. - Implemented a nonstandard convenience method cursor.executescript(sql) to execute several SQL statements in a bunch, for example for creating a database initially. - The converters dictionary was moved from the Connection object into the DB-API module. Register converters with register_converter(converter_name, callable). - the prepareProtocol parameter is gone. - instead, register adapters directly with register_adapter(type, adapter_callable) in the DB-API module. - check for closed connections - make sure it's impossible to destroy connections as long as there are still cursors using them - fixed a crash when a converter returned None - fixes to MANIFEST.in - default converters and adapters for date/date and datetime/timestamp - Replaced autocommit flag with isolation_level flag. This way, it's possible to use no transaction handling at all (autocommit), or control the types of transactions that are created (DEFERRED, IMMEDIATE, EXCLUSIVE). - thread_id is now long instead of int - so pysqlite compiles on 64-bit platforms, too. -- Gerhard Häring - gh(a)ghaering.de - Python, web & database development

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