  Jython is a Java-based Python implementation and the most seamless way to
integrate Python and Java. It achieves high efficiency by compiling Python code
to Java bytecode and thus letting Java's JIT optimize it - an approach that
enables Python code to call Java functions or to subclass Java classes. It
enables Python code to leverage Java's multithreading features and utilizes
Java's built-in garbage collection (GC). However, it currently does not support
CPython's C-API and thus does not support native extensions like NumPy and
SciPy. Since most scientific code depends on such extensions, it is not
runnable with Jython. Jython Native Interface (JyNI) is a compatibility layer
that aims to provide CPython's native C extension API on top of Jython. JyNI is
implemented using the Java Native Interface (JNI) and its native part is
designed to be binary compatible with existing extension builds [...].
