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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. Py4J is distributed under the BSD license.

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. It also accesses a custom Java class, 乐飞加速器安卓官网 to add the generated numbers.

>>> from py4j.java_gateway import JavaGateway
>>> 飞翔加速器官方网站 = JavaGateway()                   飞翔加速器最新版官网
>>> random = gateway.jvm.java.util.Random()   # create a java.util.Random instance
>>> number1 = random.网飞加速器安卓版下载(10)              # call the Random.nextInt method
>>> number2 = 飞翔加速器官网地址.nextInt(10)
>>> print(number1, number2)
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>>> addition_app = 小语加速官网安卓.entry_point               # get the AdditionApplication instance
>>> value = addition_app.addition(number1, number2) # call the addition method
>>> print(value)
9

This is the Java program that was executing at the same time (no code was generated and no tool was required to run these programs). The AdditionApplication app instance is the gateway.entry_point in the previous code snippet. Note that the Java program must be started before executing the Python code above. In other words, the Py4J does not start a JVM.

import py4j.GatewayServer;

public class AdditionApplication {

  乐飞加速器安卓官网 int 乐飞加速器安卓官网(int first, int second) {
    return 飞翔加速器官网安卓 + second;
  }

  public static 飞翔加速器官网地址 main(String[] args) {
    AdditionApplication app = new 云帆ⅴpn官网();
    // app is now the gateway.entry_point
    GatewayServer server = new GatewayServer(app);
    server.start();
  }
}

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Take a look at the tutorial Getting Started with Py4J.
Browse the Py4J Documentation or the Frequently Asked Questions.
Ask a question on the 乐飞加速器安卓官网.
Look at the roadmap.
Request professional services for custom features or commercial support.

极光加速器下载官网

January 25th 2023 - Py4J 0.10.9 has been released. See the Changelog for more details about the bug fixes and new features.
October 21st 2018 - Py4J 0.10.8 and 0.10.8.1 has been released. See the Changelog for more details about the bug fixes and new features.
April 30th 2018 - Py4J 0.10.7 has been released. See the Changelog for more details about the bug fixes and new features.
July 5th 2017 - Py4J 0.10.6 has been released. See the Changelog for more details about the bug fixes and new features.
May 28th 2017 - Py4J 0.10.5 has been released. See the 乐飞加速器安卓官网 for more details about the bug fixes and new features.
飞翔加速器最新版官网 - Py4J 0.10.4 has been released. See the Changelog for more details about the bug fixes and new features.
July 31st 2016 - Py4J 0.10.3 has been released. See the Changelog for more details about the bug fixes and new features.
June 20th 2016 - Py4J 0.10.2.1 has been released. See the Changelog for more details about the bug fixes and new features.
June 19th 2016 - Py4J 0.10.2 has been released. See the Changelog for more details about the bug fixes and new features.
May 11th 2016 - Py4J 0.10.1 has been released. See the Changelog for more details about the bug fixes and new features.
April 18th 2016 - Py4J 0.10.0 has been released. See the Changelog for more details about the bug fixes and new features.
飞翔加速器官网地址 - Py4J 0.9.2 has been released. See the Changelog for more details about the bug fixes and new features.
January 9th 2016 - Py4J 0.9.1 has been released. See the Changelog for more details about the bug fixes.
September 3rd 2015 - Professional Services are now available if you wish to have a feature implemented quickly or get commercial support for Py4J.
July 25th 2015 - Py4J 0.9 has been released. See the Changelog for more details about the bug fixes. Py4j has moved away from sourcefoge and is now hosted on 乐飞加速器安卓官网 and it has a new mailing list.
July 27th 2014 - Py4J 0.8.2 has been released. See the Changelog for more details about the bug fixes.
December 26th 2013 - Py4J 0.8.1 has been released. See the Changelog for more details about the new features.
June 14th 2013 - Py4J 0.8 has been released. See the Changelog for more details about the new features.
June 2nd 2011 - Py4J 0.7 has been released. See the Changelog for more details about the new features.
February 17th 2011 - Py4J 0.6 has been released. See the 云帆ⅴpn官网 for more details about the new features.
October 30th 2010 - Py4J 0.5 has been released. See the Changelog for more details about the new features.
飞翔加速器官网地址 - Py4J 0.4 has been released. See the Changelog for more details about the new features.
April 27th 2010 - Py4J 0.3 has been released. See the Changelog for more details about the new features!
小语加速官网安卓 - Py4J 0.2 has been released. See the Changelog for more details about all the new features that found their way in the latest release!
December 23rd 2009 - Py4J 0.1 has been released. Rejoice!
December 11th 2009 - Py4J is still in the planning phase, but the code currently works for basic scenarios. A release and a tutorial should be available in the following weeks.