How to Call C/C++ Code from Python Using ctypes
This article explains how to improve Python performance by embedding C or C++ code: write the source, compile it into a shared library, and invoke its functions from Python with the ctypes module, providing step‑by‑step commands and example code for both C functions and C++ classes.
When Python performance becomes a bottleneck, you can embed C/C++ code by compiling it into a shared library and loading it with the ctypes module.
The process consists of three steps: write the C/C++ implementation, compile it as a dynamic library, and invoke the library functions from Python.
Calling a C function – compile called_c.c with gcc -o libpycall.so -shared -fPIC called_c.c to produce libpycall.so , then load it in Python and call foo :
<code>import ctypes
dll = ctypes.cdll.LoadLibrary
lib = dll('./libpycall.so')
lib.foo(1, 3)
</code>The program prints a:1, b:3 .
Calling a C++ class – wrap the class methods in an extern "C" block, compile with g++ -o libpycallcpp.so -shared -fPIC cpp_called.cpp , and use ctypes to call the exported functions:
<code>import ctypes
dll = ctypes.cdll.LoadLibrary
lib = dll('./libpycallcpp.so')
lib.display()
lib.display_int(0)
</code>The output is:
<code>First display
Second display:0
</code>This tutorial demonstrates the basic workflow; more advanced usage can be added later.
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