There are several ways to call code written in C from Python.
First, there is the ctypes module in the standard library. It allows you to load a dynamic-link library (DLL on Windows, shared libraries .so on Linux) and call functions from these libraries, directly from Python. Such libraries are usually written in C.
Second, in case of CPython there is the Python/C API. It can be used in two major ways:
A dynamic-link library can be written in C in such a way that CPython will treat it as a module (you will be able to import it in your Python programs). The Python/C API allows the library to define functions that are written in C but still callable from Python. The API is very powerful and provides functions to manipulate all Python data types and access the internals of the interpreter.
The second way to use the C API is to embed Python in a program written in C. The C program is then able to create built-in modules written in C and expose C functions, much like in the dynamic-link library approach. The API also allows the program to execute scripts which can then import and use the built-in modules. This can be used to create a Python based plug-in system.
"Bindings" are implemented either as a pure Python library using ctypes or as a dynamic-link library using Python/C API. The second option is sometimes used with tools like SWIG which make the task easier by taking care of generating the "boiler-plate" code or Boost.Python which provides a C++ API on top of Python/C API making it easier to interface with C++ code.
Further read: Foreign Function Interface
Answer from yak on Stack OverflowThere are several ways to call code written in C from Python.
First, there is the ctypes module in the standard library. It allows you to load a dynamic-link library (DLL on Windows, shared libraries .so on Linux) and call functions from these libraries, directly from Python. Such libraries are usually written in C.
Second, in case of CPython there is the Python/C API. It can be used in two major ways:
A dynamic-link library can be written in C in such a way that CPython will treat it as a module (you will be able to import it in your Python programs). The Python/C API allows the library to define functions that are written in C but still callable from Python. The API is very powerful and provides functions to manipulate all Python data types and access the internals of the interpreter.
The second way to use the C API is to embed Python in a program written in C. The C program is then able to create built-in modules written in C and expose C functions, much like in the dynamic-link library approach. The API also allows the program to execute scripts which can then import and use the built-in modules. This can be used to create a Python based plug-in system.
"Bindings" are implemented either as a pure Python library using ctypes or as a dynamic-link library using Python/C API. The second option is sometimes used with tools like SWIG which make the task easier by taking care of generating the "boiler-plate" code or Boost.Python which provides a C++ API on top of Python/C API making it easier to interface with C++ code.
Further read: Foreign Function Interface
Answer is simple, python (CPython) interpreter is written in C and it can call other C libraries dynamically, your C extension module or embedded C code can be easily called from any other C code.
CPython allows special hooks so that it can call other C code or can be called from other C code. It need not even be C, any language which compiles to native code and have same calling convention.
For a simple case consider you create a program called mython, which can load any shared library and tries to call a function run e.g.
lib = dlopen("mylib.so", RTLD_LAZY);
func = dlsym(lib, "run");
(*func)();
So in way you have loaded a module and called its code, CPython does that but in more complex way, providing better interfaces and objects to pass around, plus there are other intricacies involved of memory management, thread management etc.
So platform of Python implementation must match to language in which it is being extended, e.g. CPython is not extensible in Java but Java implementation of Python called Jython can be extended in Java and similarly .NET implementation IronPython can be extended in .Net languages.
interfacing python with c/c++ performance
Is there a way to use a c++ project in a python project?
I want to write a heavy app with a web interface. I've been writing C++ for about three years, and I'm reluctant to give up its performance and flexibility for Python's ease of use and connectivity. I understand that sometimes C++ can pose challenges when connecting with a web interface. However, I don't want to abandon it entirely. Instead, I'm considering writing both Python and C++ in the backend of the project. My main concern is performance. Will pure C++ be significantly faster, or can I achieve comparable optimization with a combination of C++ and Python? I would appreciate any insights or experiences you have with using both languages in a project, like what Meta or PyTorch does.
I have a relevant c++ project called Giraffe from https://github.com/ianfab/Giraffe
I need a specific function within the project to run in another project written in python. Does anyone know how to do this? The function is found under ann/features_conv however it has dependencies on other files as well.
Edit: Im a total beginner in c++ and have no idea what to do with c++ project files. Would appreciate it if more detailed instructions can be given. Thanks!!!