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Register maytag connect3605/11/2023 This is the array of PyMethodDef structs you defined earlier.įor more information, check out the official Python documentation on PyModuleDef. It also specifies the memory requirement of your module to be allocated on each sub-interpreter session.įputsMethods is the reference to your method table. A non-negative value enables the re-initialization of your module.A negative value indicates that this module doesn’t have support for sub-interpreters.It’s helpful when your module is used in multiple sub-interpreters, and it can have the following values: 1 is the amount of memory needed to store your program state. You can also use PyDoc_STRVAR() to define a docstring for your module. You can use NULL to have no docstring, or you can specify a docstring by passing a const char * as shown in the snippet above. The string is the value that represents your module docstring. "fputs" is the name of your Python C extension module. PyModuleDef_HEAD_INIT is a member of type PyModuleDef_Base, which is advised to have just this one value. In the code block above, you initialize the following five: There are a total of 9 members in this struct, but not all of them are required. All of these tools and more are collectively bundled in the Python.h header file.ġ #include 2 3 static PyObject * method_fputs ( PyObject * self, PyObject * args ) To write Python modules in C, you’ll need to use the Python API, which defines the various functions, macros, and variables that allow the Python interpreter to call your C code. This is not an exhaustive list, but it gives you the gist of what can be done when extending Python using C or any other language. ![]() Still, there may be other lesser-used system calls that are only accessible through C. To call C library functions and system calls: Many programming languages provide interfaces to the most commonly used system calls. Such a situation is rare, but it’s good to know the extent to which Python can be extended. There can be many reasons for doing this, but more often than not, performance is primarily what drives developers to turn to C. To implement new built-in object types: It’s possible to write a Python class in C, and then instantiate and extend that class from Python itself. So, why should you use C? Here are a few reasons why you might decide to build a Python C extension module: There are many languages you could choose from to extend the functionality of Python. This allows you to extend the capabilities of your program beyond what Python’s built-in features have to offer. One of the lesser-known yet incredibly powerful features of Python is its ability to call functions and libraries defined in compiled languages such as C or C++. Free Download: Get a sample chapter from Python Tricks: The Book that shows you Python’s best practices with simple examples you can apply instantly to write more beautiful + Pythonic code.
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