How to integrate Python code with Android Studio

Chaquopyhttps://chaquo.com/chaquopy/doc/current/android.html, a Gradle plugin, is a popular choice for seamless integration of Python code with Java/Kotlin in the Android Studio. Make sure you have Android Studiohttps://developer.android.com/studio and Python both installed on your local systems.

Using Chaquopy

Follow the steps below to integrate Python code with the Android Studio using Chaquopy:

  • Step I: Open the Android Studio and navigate to "File → Settings → Plugins → Marketplace". Next, search for "Chaquopy" and install it.

  • Step II: Add the Chaquopy dependency to the build.gradle file. It is usually located in the app module. Make sure to add compatible versions.

apply plugin: 'com.chaquo.python'
...
implementation 'com.chaquo.python:python-compiler-sdk:8.0.0'
implementation 'com.chaquo.python:python-compiler-stdlib:3.8.2.2'
  • Step III: Create a .py file (for example, file.py) in the src/main/python directory and add Python code to it. Below is an example.

# a function to add two numbers
def add(x, y):
return x + y
  • Step IV: Now, in the Java/Kotlin code, call the Python function as follows:

// Importing necessary classes from the Chaquopy library
import com.chaquo.python.PyObject;
import com.chaquo.python.Python;
public class MyJavaClass {
public int add(int x, int y) {
// Create an instance of the Python class
Python python = Python.getInstance();
// Retrieve a reference to a Python module named "file"
PyObject pyObject = python.getModule("file");
// Result is converted to a Java integer using the toJava(int.class) method
return pyObject.callAttr("add", x, y).toJava(int.class);
}
}

Conclusion

Developers prefer integrating Python into Android Studio due to its cross-platform compatibility. It is easier for them to write code once and deploy it across multiple platforms and desktop environments. They can also use a variety of Python libraries for various tasks like data processing, machine learning, and more. With Python's scripts, developers find it easy to automate repetitive tasks, process data efficiently, and create custom tools.

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