[eGenix.com ANN] ANN: eGenix.com mx EXPERIMENTAL Extension Package 0.3.0

[egenix-announcements@lists.egenix.com]

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ANNOUNCING:

        eGenix.com mx EXPERIMENTAL Extension Package for Python
                            Version 0.3.0

     Experimental Python extensions providing important and useful
                    services for Python programmers.


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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 open-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.

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WHAT'S NEW ?

The mxNumber package was updated to better integrate the provided
number types with Python's builtin types.

In addition to providing more coercion paths, the integer object
in mxNumber has also grown a whole set of useful methods.

And last, not least, there's a web-page for mxNumber which provide
some details about the new types. It is still far from being complete,
but provides some good starting points for those living on the
bleading edge.

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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
                               long 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

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WHERE CAN I GET IT ?

The download archives and instructions for installing the packages can
be found at:

     http://www.lemburg.com/files/python/

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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 come with full source code

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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.

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REFERENCE:

<P><A HREF="http://www.lemburg.com/files/python/">eGenix.com mx
EXPERIMENTAL Extension Package 0.3.0</A> - eGenix.com mx EXPERIMENTAL
Extension Package 0.3.0 with precompiled binaries for Windows and
Linux. (12-Jul-2001)

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Enjoy,
-- 
Marc-Andre Lemburg
CEO eGenix.com Software GmbH
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Consulting & Company:                           http://www.egenix.com/
Python Software:                        http://www.lemburg.com/python/