Hybrid Qt Development: boosting your projects with Python

Abstract

Qt has been under development for many years, and it has been evolving with the community and the development of C++. On the other hand, **Python** has been around almost the same number of years that Qt, and managed to pass from a *just-for-fun* into a **professional** programming language.

Due to the increase in popularity of topics related to **Data Analysis** and **Data Science**, Python has been playing the main role in the development of many solutions on those topics, but more importantly, most of the performant modules and techniques rely on low-level programming languages like **Fortran, C, and C++**, from which one can extend Python to our own requirements.

**The question is**, how can we take advantage of that, bringing the functionalities, modules, and even ideas to Qt?

If you are thinking of **Python Bindings**, that’s not enough. Exposing Qt API to Python serves the purpose of enabling Python developers to interact with components most Qt developers have been familiar with for already a long time, **but what about Qt/C++ developers?**

In this talk we will go through the different approaches on how Python can **boost your project**, combining both the languages under the Qt framework, extending Python, and embedding Python in your C++ application, and code. Additionally, we will go through a couple of ongoing features on the Qt for Python project, which adds new functionality on top of the Qt API we all know.

With a basic knowledge of Python, you will take home a couple of clear ideas on how to combine the **simplicity of Python** into your C++ based applications; how to contribute to the Qt for Python project, and even improve the Python ecosystem.