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Jep embeds CPython in Java through JNI.
Some benefits of embedding CPython in a JVM:
Using the native Python interpreter may be much faster than alternatives.
Python is mature, well supported, and well documented.
Access to high quality Python modules, both native CPython extensions and Python-based.
Compilers and assorted Python tools are as mature as the language.
Python is an interpreted language, enabling scripting of established Java code without requiring recompilation.
Both Java and Python are cross platform, enabling deployment to different operating systems.
Simply run pip install jep or download the source and run pip install ..
Building and installing require the JDK, Python, and optionally numpy to be installed beforehand.
Documentation <https://github.com/ninia/jep/wiki>_JavaDoc <https://ninia.github.io/jep/javadoc>_Mailing List (deprecated) <https://groups.google.com/d/forum/jep-project>_Known Issues and Help <https://github.com/ninia/jep/issues>_Contribution Guidelines <https://github.com/ninia/jep/blob/master/.github/CONTRIBUTING.md>_Project Page <https://github.com/ninia/jep>_We welcome comments, contributions, bug reports, wiki documentation, etc.
If you need help, please first search for existing solutions online, in the the issues, and on the wiki. If you still need help, please open a GitHub issue and we will try and help you. Please remember to close the issue once it has been resolved.
Jep Team
FAQs
Jep embeds CPython in Java
We found that jep demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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