Mailman 3 December 2001 - Python-announce-list

[ANNOUNCE] timeoutsocket.py version 1.21
by timo＠alum.mit.edu 05 Dec '01

05 Dec '01

hola. I've updated timeoutsocket.py to version 1.21. Fixes include - Better Windows support. Error code 10056 now recognized as an indication of a valid connection. - Better socket emulation. Added connect_ex() method - Better data protection. The read() and readline() methods of a makefile() object no longer lose data when a timeout occurs. The readlines() method still does. - Less intrusive when inserting the shim. It no longer modifies they sys.modules array and no longer modifies every module that has imported 'socket'. I would recommend upgrading. I would especially recommend upgrading on Windows. Where: http://www.timo-tasi.org/python/timeoutsocket.py What is timeoutsocket.py? This module enables a timeout mechanism on all TCP connections. It does this by inserting a shim into the socket module. After this module has been imported, all socket creation goes through this shim. As a result, every TCP connection will support a timeout. The beauty of this method is that it immediately and transparently enables the entire python library to support timeouts on TCP sockets. As an example, if you wanted to SMTP connections to have a 20 second timeout: import timeoutsocket import smtplib timeoutsocket.setDefaultSocketTimeout(20) Good Luck! TimO

1 0

ANN: F2PY - Fortran to Python Interface Generator
by Pearu Peterson 04 Dec '01

04 Dec '01

F2PY - Fortran to Python Interface Generator I am pleased to announce the third public release of f2py (2nd Edition) (version 2.3.328): http://cens.ioc.ee/projects/f2py2e/ f2py is a command line tool for binding Python and Fortran codes. It scans Fortran 77/90/95 codes and generates a Python C/API module that makes it possible to call Fortran subroutines from Python. No Fortran or C expertise is required for using this tool. Features include: *** All basic Fortran types are supported: integer[ | *1 | *2 | *4 | *8 ], logical[ | *1 | *2 | *4 | *8 ], character[ | *(*) | *1 | *2 | *3 | ... ] real[ | *4 | *8 | *16 ], double precision, complex[ | *8 | *16 | *32 ] *** Multi-dimensional arrays of (almost) all basic types. Dimension specifications: <dim> | <start>:<end> | * | : *** Supported attributes and statements: intent([ in | inout | out | hide | in,out | inout,out ]) dimension(<dimspec>) depend([<names>]) check([<C-booleanexpr>]) note(<LaTeX text>) optional, required, external NEW: intent(c), threadsafe, fortranname *** Calling Fortran 77/90/95 subroutines and functions. Also Fortran 90/95 module subroutines are supported. Internal initialization of optional arguments. *** Accessing COMMON blocks from Python. NEW: Accessing Fortran 90/95 module data. *** Call-back functions: calling Python functions from Fortran with very flexible hooks. *** In Python, arguments of the interfaced functions may be of different type - necessary type conversations are done internally in C level. *** Automatically generates documentation (__doc__,LaTeX) for interfaced functions. *** Automatically generates signature files --- user has full control over the interface constructions. Automatically detects the signatures of call-back functions, solves argument dependencies, etc. NEW: * Automatically generates setup_<modulename>.py for building extension modules using tools from distutils and fortran_support module (from SciPy). *** Automatically generates Makefile for compiling Fortran and C codes and linking them to a shared module. Many compilers are supported: gcc, Compaq Fortran, VAST/f90 Fortran, Absoft F77/F90, MIPSpro 7 Compilers, etc. Platforms: Intel/Alpha Linux, HP-UX, IRIX64. *** Complete User's Guide in various formats (html,ps,pdf,dvi). *** f2py users list is available for support, feedback, etc. NEW: * Installation with distutils. *** And finally, many bugs were fixed. More information about f2py, see http://cens.ioc.ee/projects/f2py2e/ LICENSE: f2py is released under the LGPL. Sincerely, Pearu Peterson <pearu(a)cens.ioc.ee> December 4, 2001 <P><A HREF="http://cens.ioc.ee/projects/f2py2e/">f2py 2.3.328</A> - The Fortran to Python Interface Generator (04-Dec-01)

1 0

ANN: First beta release of Jython-2.1
by bckfnn＠worldonline.dk 03 Dec '01

03 Dec '01

I am happy to announce the first beta release of Jython 2.1. Jython is a Java implementation of the Python programming language. It allows users to compile Python source code to Java byte codes, and run the resulting bytecodes on any Java Virtual Machine. It is a very seamless and smooth integration with Java: from Python you have complete access to all Java libraries, can build applets, can integrate with Java beans, and can subclass Java classes in Python and vice versa. Like Python, and unlike Java, Jython can also be used interactively: just type some Jython code at the prompt and see the results immediately. A java installer is available for download at the Jython website: http://www.jython.org/ Installation of version 2.1b1 is similar to version 2.0. Further information and tips on installation is available at: http://www.jython.org/install.html Jython 2.1 aims to be feature compatible with Python 2.1.1 and among the new feature are: - The weakref module is now available. - The sys.exitfunc hook is called on exit and the sys.excepthook is called when an exception occur. - A CPython compatible xreadlines module. - Support for os.environ and os.system() on common platforms. - Includes zxJDBC for Python DB API 2.0 compatibility. The list of bugs fixed since the previous release includes: - [ #438297 ] SimpleHTTPServer does not work - [ #440660 ] using nested java cls @ level >2 fails - [ #448485 ] Tuple unpacking raises KeyError - [ #448523 ] Support "ASCII" as builtin codec. - [ #449316 ] ArrayList()[0] should raise IndexError - [ #449956 ] jythonc 2.1a3 --package problem - [ #450938 ] time module requires JDK 1.4 - [ #451746 ] jythonc --deep pjy$packages problem - [ #452526 ] traceback lineno is the except line - [ #452947 ] Class of innerclass inst <> innerclas - [ #453301 ] jythonc --compileropts on Windows - [ #457614 ] pls change &copyright; to (c) in sources - [ #458945 ] Missing 'lastindex' on match objects - [ #462280 ] builtin method as a class variable - [ #467826 ] SHA digest() method doesn't work - [ #473676 ] cStringIO bug - [ #475445 ] incompatibility with python - [ #475666 ] __nonzero__ exceptions must be ignored - [ #476580 ] 'del obj.non_member' : wrong exception - [ #476772 ] shutdowns in jython / atexit - [ #477608 ] os.path.getmtime() missing - [ #477768 ] ord([123]) 21a3 - [ #477793 ] os.utime() is missing. - [ #480373 ] Can't find _PyInner with classloader. - [ #480390 ] main() does not throw exceptions - [ #484181 ] command line args in dos - [ #485558 ] Synchronization bug in sys.initialize. - [ #485968 ] cStringIO.softspace is not assignable. A complete list of changes and differences are available here: http://www.jython.org/NEWS.html Bugs can be reported to the bug manager on SourceForge: http://sourceforge.net/bugs/?group_id=12867 Cheers, the jython-developers

1 0

[ANN] QuantLib-Python 0.2.1
by Ferdinando Ametrano 03 Dec '01

03 Dec '01

QuantLib-Python 0.2.1 --------------------- http://quantlib.org QuantLib-Python is a SWIG wrap of QuantLib. QuantLib is a quantitative finance C++ library for modeling, pricing, trading, and risk management in real-life. A tool for derivatives and financial engineering. Version 0.2.1 of the C++ library and the Python extension have been released. What's new ------------ - in sync with QuantLib 0.2.1 - Upgraded to SWIG 1.3.9 - changed iterator behavior in Python module - added __version__ and __hexversion__ export of C++ QL_VERSION and QL_HEX_VERSION - added 'testing QuantLib x.x.x' message to tests - updated and expanded test suite - updated Swig files' dependencies for MS VC++ project URL: http://quantlib.org License: XFree86 style Categories: Miscellany Ferdinando Ametrano (ferdinando(a)ametrano.net) http://www.ametrano.net -- <P><A HREF="http://quantlib.org">QuantLib-Python 0.1.9</A> - A module for quantititative finance. (18-Sep-01)</P> --

1 0

ANNOUNCE: Python support in the Nebula Device 3D Engine
by Jason L. Asbahr 03 Dec '01

03 Dec '01

Pythonistas, Just wanted to share some news regarding work I've been doing on the open source 3D engine, Nebula. Nebula supports OpenGL on Linux and D3D and OpenGL on Windows currently, and will support OpenGL on Mac OS X shortly. Nebula is the chosen client for my open source MMP project, Netsu. The main Nebula site: http://www.radonlabs.de/ The Nebula Sourceforge site: http://sourceforge.net/projects/nebuladevice/ ______________________________________________________________________ Jason Asbahr jason(a)asbahr.com --- Nebula now has Python support! It's checked into CVS and has been tested on Win32 and Linux. Please let me know if you run into any difficulties with it, or do anything cool with it. This release exposes the base-level Nebula functions to Python, a future release will provide Python developers with an object-oriented interface to Nebula. Next up: Python tekdemos. Cheers, Jason npython ======== Python Integration Documentation Created 2001, by Jason L. Asbahr, jason(a)asbahr.com ====================================================================== Introduction ====================================================================== npython is an extension which integrates Python into the Nebula Device and exposes the functionality of Nebula to Python. npython can be invoked from inside the standard Nebula utilities nsh and gfxserv, in addition, npython can be imported directly into Python as an extension module. ====================================================================== To Build ====================================================================== - Copy nebula/code/src/python/npython.epk up one directory to nebula/code/src - Execute updsrc.tcl to build makefiles. - Compile with 'make' or DevStudio ====================================================================== To Use ====================================================================== - To use Python in the Nebula utilities: nsh -script npythonserver gfxserv -script npythonserver - To use Nebula from Python, simply: >>> import npython ====================================================================== Commands ====================================================================== npython currently exposes a set of functions to manipulate and control the Nebula Device. All functions take arguments formated as strings. NOTE: These commands are based on those commands available via Tcl, with a couple differences. For example, 'dir' has been renamed 'ndir', and a new command 'set' has been introduced to allow invocation of methods on Nebula objects. new( [class], [path] ) Create a new object of class [class] with the name [path]. Name may be any valid path, missing path components will be filled up with 'nroot' objects. Returns the complete path name of the new object. delete( [path] ) Delete the object with name [path] and all of it's sub objects. ndir() List contents of current 'directory'. sel( [path] ) Make the object defined by [path] the current object. Returns the complete path of the selected object. psel() Returns the full path of the currently selected object. exists( [path] ) Check whether object exists. Return "1" if yes, return "0" if no. get( [script] ) Read a serialized object from the 'real' filesystem. The serialized object must have been created with the '.save' or '.saveas' object command. Returns the full path of the created object. server( [portname] ) Leave interactive mode and go into server mode by creating an ipc port. In server mode, npython will wait for other Nebula apps to connect and execute any incoming commands on the local objects. connect( [hostname:portname] ) Connect to another Nebula application in server mode. The remote app may be on the same machine (in this case you can omit the leading 'hostname:'), or on another machine. Communication will go through TCP/IP sockets. 'hostname' is any valid TCP/IP address in the form of 'ww.xx.yy.zz', or a machine name that can be resolved into a numerical tcp/ip address. disconnect() Disconnect from a server. exit() End the npython session (can also be used to shutdown a remote server when in connected state). ====================================================================== Simple Example ====================================================================== new('nroot', 'myObject') This will create a new object of class 'nroot' which has the name 'myObject'. sel('myObject') This makes 'myObject' the current object. 'sel' just works like 'cd' in an ordinary shell, except that it selects the current object, not the current working directory in the filesystem. set('getcmds') This invokes the method 'getcmds' on 'myObject', which will return a list of all command prototypes that 'myObject' accepts. sel('..') Go back to the root object. --- EOF

1 0

[ANNOUNCE] Webware for Python 0.6
by Chuck Esterbrook 02 Dec '01

02 Dec '01

Webware is a suite of Python packages for developing object-oriented, web-based applications. The suite uses well known design patterns and includes popular features such as: * A fast, multi-threaded, easy-to-use application server * Servlets * Python Server Pages (PSP, similar to ASP, PHP and JSP) * An object-relational mapper * Task scheduling * User management and authentication * A CGI wrapper Home: http://webware.sourceforge.net/ Download: http://prdownloads.sourceforge.net/webware/Webware-0.6.tar.gz Docs: http://webware.sourceforge.net/Webware/Docs Discuss: mailto:webware-discuss@lists.sourceforge.net Highlights of 0.6: * Still supports Python 1.5.2, but other than 0.6.x maintenance releases, future versions of Webware will require Python 2.0. * Major enhancements to various packages including WebKit & MiddleKit: http://webware.sourceforge.net/Webware/WebKit/Docs/RelNotes-0.6.html http://webware.sourceforge.net/Webware/MiddleKit/Docs/RelNotes-0.2.html

1 0

Python Checkbook Manager Version 0.5 Available
by Richard P. Muller 02 Dec '01

02 Dec '01

The Python Checkbook Manager (aka pycheckbook) is now available from http://pycheckbook.sourceforge.net. Version 0.5 adds support for GTK+ widgets in addition to the Tk widgets. Pycheckbook is a minimalist checkbook manager. Quicken and GnuCash offer more features, but pycheckbook is only ~1300 lines of code, and thus is much easier to understand, hack, customize, etc. Pycheckbook should run on any host that runs Python and either Tkinter or PyGTK. CVS access is now available through cvs.pycheckbook.sourceforge.net. Email suggestions, complaints, and other feedback to rpm(a)wag.caltech.edu.

1 0