Unleash The Power of C++ In Python. We will go through the process of generating language bindings to allow you to take any amazing C or C++ project and bring it to Python land. One of the main Python aspects is to have a clear syntax and be an easy-to-understand language, which compared to others like C++ (depending of the kindness of the developer) can make a huge difference.
One of the main Python aspects is to have a clear syntax and be an easy-to-understand language, which compared to others like C++ (depending of the kindness of the developer) can make a huge difference.
Not only the readability is in play, having a dynamically typed and interpreted language improves the development workflow.
This improvement comes with a cost, performance. In most of the cases, a raw comparison of simple routines will leave Python behind, but there is a partial solution to this problem, connecting a powerful performant C++ library with the simplicity of Python.
In this talk, we will go through the process of generating language bindings to allow you to take any amazing C or C++ project and bring it to Python land. We will briefly discuss one of the many success stories, and we will analyze how the Qt project managed to expose its whole framework to Python, with the help of a self-made binding generator called Shiboken.
After the talk, you will be able to decide which option is better for the projects you have in mind, and with a bit of luck you will be responsible of exposing the next popular C++ library that makes the life of us all Pythonistas easier.
What are Python bindings? Should you use ctypes, CFFI, or a different tool? Why you want to call C or C++ from Python. How to pass data between C and Python. What tools and methods can help you create Python bindings
Learn how to write Python interfaces in C or C++. Find out how to invoke C functions from within Python and build Python C extension modules. You'll learn how to parse arguments, return values, and raise custom exceptions using the Python API.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
C/C++ problems. If you are familiar with C/C++then you must have come across some unusual things and if you haven’t, then you are about to. The below codes are checked twice before adding, so feel free to share this article with your friends.
Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like __init__, __call__, __str__ etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).