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Jython distribution with numerical computation and plotting packages

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Jython: Python for the Java Platform

Welcome to Jython 2.7.1!

This is the final release of the 2.7.1 version of Jython. Along with
language and runtime compatibility with CPython 2.7, Jython 2.7
provides substantial support of the Python ecosystem. This includes
built-in support of pip/setuptools (you can use with bin/pip) and a
native launcher for Windows (bin/jython.exe), with the implication
that you can finally install Jython scripts on Windows.

**Note that if you have JYTHON_HOME set, you should unset it to avoid
problems with the installer and pip/setuptools.**

Jim Baker presented a talk at PyCon 2015 about Jython 2.7, including
demos of new features: https://www.youtube.com/watch?v=hLm3garVQFo

The release was compiled on OSX using JDK 7 and requires a minimum of
Java 7 to run.

Please try this release out and report any bugs at
http://bugs.jython.org You can test your installation of Jython (not
the standalone jar) by running the regression tests, with the command:

jython -m test.regrtest -e -m regrtest_memo.txt

For Windows, there is a simple script to do this: jython_regrtest.bat.
In either case, the memo file regrtest_memo.txt will be useful in the
bug report if you see test failures. The regression tests can take
about half an hour.

See ACKNOWLEDGMENTS for details about Jython's copyright, license,
contributors, and mailing lists; and NEWS for detailed release notes,
including bugs fixed, backwards breaking changes, and new
features. Thanks go to Google for sponsoring Stefan Richthofer for the
Google Summer of Code; there are so many others to thank, but Stefan's
work proved instrumental for getting 2.7.1 out, all in preparation for
his actual work on JyNI for the summer of 2017
(http://jyni.org/). Motivation helps! We also deeply thank all who
contribute to Jython, including - but not limited to - bug reports,
patches, pull requests, documentation changes, support emails, and
fantastic conversation on Freenode at #jython. Join us there for your
questions and answers!

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Jython distribution with numerical computation and plotting packages

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