ctypes.cdll
ctypes.cdll
ctypes.cdll
The ctypes.cdll
module is a component of the ctypes
library in Python that facilitates the loading of shared libraries (also known as dynamic link libraries or DLLs) and allows for calling functions within those libraries. Unlike ctypes.windll
, which is specific to Windows DLLs, cdll
is suitable for both Windows and Unix-like systems, making it a versatile choice for cross-platform development.
ctypes.cdll
With ctypes.cdll
, you can easily load shared libraries into your Python application. This includes both system libraries and custom libraries.
After loading a library, you can access its functions and call them directly from Python. The module automatically handles type conversions between Python and C data types.
cdll
works on multiple platforms, making it easier to write portable code that interacts with shared libraries, regardless of the operating system.
ctypes.cdll
Here’s a simple example demonstrating how to use ctypes.cdll
to load a shared library and call a function. Assume you have a shared library named libexample.so
(or example.dll
on Windows) that contains a function to add two numbers.
First, create a simple C program (example.c
):
Compile it into a shared library:
On Linux:
On Windows:
Now, load the shared library using Python:
In this example:
LoadLibrary
function loads the shared library.argtypes
and restype
attributes specify the function's argument and return types, respectively.You can also define and use C structures in conjunction with cdll
:
Compile it into a shared library as before. Now, use it in Python:
In this example:
Point
structure is defined in Python that matches the C structure.ctypes.cdll
The ctypes.cdll
module is a powerful tool for Python developers needing to interact with shared libraries across different platforms. By providing a straightforward way to load and call functions from these libraries, cdll
enhances the capabilities of Python applications and facilitates interoperability with existing C code. Understanding how to use this module effectively can significantly extend the functionality of your Python projects.