jtypes.py4j 0.10.8a1

About Py4J:

Borrowed from the original website:

Py4J enables Python programs running in a Python interpreter to dynamically access Java objects in a Java Virtual Machine. Methods are called as if the Java objects resided in the Python interpreter and Java collections can be accessed through standard Python collection methods. Py4J also enables Java programs to call back Python objects.

Here is a brief example of what you can do with Py4J.

The following Python program creates a java.util.Random instance from a JVM and calls some of its methods.

>>> from py4j.java_gateway import JavaGateway
>>> gateway = JavaGateway()                  # connect to the JVM
>>> random = gateway.jvm.java.util.Random()  # create a java.util.Random instance
>>> number1 = random.nextInt(10)             # call the Random.nextInt method
>>> number2 = random.nextInt(10)
>>> print(number1,number2)
(2, 7)

0.10.8a1 (2018-11-08)

• Synchro with Py4J master branch (v.0.10.8).

• Update of the required setuptools version.

• Minor setup and tests improvements.

0.10.7a2 (2018-09-14)

• Synchro with Py4J master branch (v.0.10.7).

0.10.7a1 (2018-06-15)

• Synchro with Py4J master branch (v.0.10.7).

0.10.6a4 (2018-05-22)

• Update of the required setuptools version.

0.10.6a3 (2018-02-26)

• Improvement and simplification of setup and packaging.

0.10.6a2 (2018-01-29)

• Development moved to github.

• Version numbering in sync. with the original Py4J.

0.0.1a1 (2017-01-10)

• First alpha release.

0.0.1a0 (2015-08-05)

• Initial version.