Wrapping a C library in Python: C, Cython or ctypes?
I want to call a C library from a Python application. I don’t want to wrap the whole API, only the functions and datatypes that are relevant to my case. As I see it, I have three choices:
I want to call a C library from a Python application. I don’t want to wrap the whole API, only the functions and datatypes that are relevant to my case. As I see it, I have three choices:
How feasible would it be to compile Python (possibly via an intermediate C representation) into machine code?
I have taken Problem #12 from Project Euler as a programming exercise and to compare my (surely not optimal) implementations in C, Python, Erlang and Haskell. In order to get some higher execution times, I search for the first triangle number with more than 1000 divisors instead of 500 as stated in the original problem.
I’m trying to convert C function for python 3.6 use.
Suppose I have an if statement with a return. From the efficiency perspective, should I use
how can I load a c# dll in python?
I’m just getting started with ctypes and would like to use a C++ class that I have exported in a dll file from within python using ctypes.
So lets say my C++ code looks something like this:
The question I’m about to ask seems to be a duplicate of Python’s use of __new__ and __init__?, but regardless, it’s still unclear to me exactly what the practical difference between __new__ and __init__ is.
I think I understand strong typing, but every time I look for examples for what is weak typing I end up finding examples of programming languages that simply coerce/convert types automatically.
Is there a way to call Python code, using IronPython I assume, from C#? If so, how?