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Jython distribution with numerical computation and plotting packages
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Yaqiang/jythonlab
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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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