The story of Pybinding - a python wrapper around C++...

The story starts with a common problem: Python is a fantastic language for rapid prototyping, data analysis, and orchestrating complex tasks. However, when it comes to raw computational speed, especially for number-crunching or highly parallelized operations, it can fall short. C++ and other compiled languages, on the other hand, excel in these areas. The question was: how do you get the best of both worlds? How do you write the performance-critical parts of your application in C++ while still enjoying the development speed and ecosystem of Python? The answer was to create a "binding" – a bridge that allows Python to call C++ code as if it were native Python. Early efforts in this space, such as Boost.Python , were powerful but often came with a steep learning curve and significant compilation overhead. They were a bit like using a sledgehammer to crack a nut – effective, but perhaps a bit unwieldy for many use cases. Have a look at how neat the python code looks; however, the actual job is done by the background C++. import libfoodfactory biscuit = libfoodfactory.make_food("bi") print(biscuit.get_name()) chocolate = libfoodfactory.make_food("ch") print(chocolate.get_name()) Do you like the story? Click on the link and learn about pyBinding - a glue to stitch C++ and Python... submitted by /u/sommukhopadhyay [link] [留言]