果酱云永久免费加速-快连加速器app
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)
飞翔加速器官网地址
>>> 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();
}
}
果酱云永久免费加速-快连加速器app
- 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.
果酱云永久免费加速-快连加速器app
- January 25th 2024 - 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.