It is able to use IPC between C++ and Python, what can be noticeably faster than using sockets (for the same usages), and gives you a window for network features in your future developments. It is reliable and quite easy to use, with the same API in Python and C++.

You can implement your C++ code as shared library (so or dll). Your interface should be extern "C". Then you can call your native functions directly in python and pass your data via pointers within the same process and memory. To call the native functions you can use Python CTypes.

May 25, 2015 · A very powerful tool for integrating Python and C++ is called sip and it's the tool which the Qt binding PyQt is based on. You can call functions and even map C++ classes to Python directly (including support for deriving in Python a C++ class).

May 18, 2024 · Now, I will introduce an example of communication between Python and C++ programs using ZeroMQ. The following example is a simple illustration focusing solely on message transmission, but it can be adapted and applied to …

Mar 22, 2014 · An example how to use Googles protobuf to send a data structure from a C++ script to a Python script via UDP.

Jul 4, 2024 · This article outlines a comprehensive solution for transferring a vector of images from a C++ application to a Python application for inference using ZeroMQ for inter-process communication...

Mar 18, 2020 · This tutorial describes an alternative way of gathering data from C-based hardware interfaces and providing it to Python-based infrastructures. You can take this data and analyze it or pass it off in any number of directions.

Shared pointers are a convenient way to transfer ownership of resources between Python and C++. A comprehensive wrapping tool like boost.python and pybind11 supports bi-directional transfer. But things can be tricky when advanced operations are performed, depending on the implementation of the wrapper library and the shared pointer.

Sep 7, 2021 · In a cross platform (Linux and windows) real-time application, I need the fastest way to share data between a C++ process and a python application that I both manage. I currently use sockets but it's too slow when using high-bandwith data (4K images at 30 fps).

Tools such as runcython and protobuf make it easy to pass structured data from Python to C++ and gain massive performance improvements. Google's protobuf library encourages simple and maintanable interfaces between Python and C++ via fast serialization and deserialization of …