Python CPython interoperability with other languages

Interoperability with C/C

Cpython can directly call C/C code because it exposes a CPython api## through the C interface inside the CPython interpreter #. This allows developers to use Python to access C/c libraries, taking advantage of their performance and functionality.

Demo code:

import ctypes

# 加载 C 库
my_lib = ctypes.cdll.LoadLibrary("./my_lib.so")

# 调用 C 函数
result = my_lib.add_numbers(10, 20)
print("结果：", result)

Interoperability with Java

CPython can interoperate with Java thanks to the Java Native Interface (JNI). JNI allows Python to access Java classes, methods, and fields. This allows developers to create hybrid Python-Java applications that take advantage of Java's robustness and performance.

Demo code:

import jnius

# 加载 Java 类
MyClass = jnius.autoclass("my.package.MyClass")

# 创建 Java 类的实例
my_instance = MyClass()

# 调用 Java 方法
result = my_instance.addNumbers(10, 20)
print("结果：", result)

Interoperability with JavaScript

CPython can interoperate with

javascript using the Emscripten tools chain. Emscripten compiles C/C code into JavaScript so that it can run in WEB browsers. This allows developers to create interactive applications on the web using Python.

Demo code:

import emscripten

# 将 Python 函数编译为 JavaScript
emscripten.compile_function("def add_numbers(a, b):
return a + b")

# 在 JavaScript 中调用 Python 函数
result = emscripten.call("add_numbers", 10, 20)
print("结果：", result)

Interoperability with Fortran

CPython can interoperate with Fortran through the Fortran Python interface (F2PY). F2PY converts Fortran code into Python modules, allowing developers to call Fortran subroutines and functions using Python. This is essential to access the Fortran library and take advantage of its high-performance computing capabilities.

Demo code:

import numpy
import f2py

# 加载 Fortran 模块
f2py.compile("my_module.f90")

# 创建 Fortran 模块的实例
my_module = numpy.import_module("my_module")

# 调用 Fortran 子例程
result = my_module.add_numbers(10, 20)
print("结果：", result)

in conclusion

Python CPython's interoperability makes it a powerful language, not only useful in fields such as data science and

machine learning, but also in integrating with other programming languages . By using mechanisms such as the CPython API, JNI, Emscripten, and F2PY, developers can create mixed-language applications that take advantage of the strengths of each language. This makes CPython ideal for projects that need to interact with a variety of other languages ​​and technologies.

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