PySide6, so that you can use Qt6 APIs in your Python applications, and Shiboken6, a binding generator tool, which can be used to expose C++ projects to Python, and a Python module with some utility …

Getting Started ¶ Here you can find the steps to install and create a simple application using the two technologies that Qt provides: Qt Widgets and Qt Quick.

A collection of tutorials with walkthrough guides are provided with Qt for Python to help new users get started. Some of these documents were ported from C++ to Python and cover a range of topics, from …

Since the Qt for Python project still uses setup.py and not pyproject.toml, currently uv can only be used as a replacement for pyenv for building Qt for Python.

A collection of examples are provided with Qt for Python to help new users to understand different use cases of the module. You can find all these examples inside the pyside-setup repository on the …

The building process requires a Qt installation, and a Python interpreter on both the host, and the target. The used Qt versions on both platforms should have the same minor version.

In order to debug Python code, it is necessary to set the correct Python interpreter in VSCode - this will ensure that all Python integrations of VSCode use the same interpreter.

By selecting the appropriate unified Qt online installer for your OS, you can install commercial or open source versions of Qt, development tools, and other components.

Qt uses the timer’s thread affinity to determine which thread will emit the timeout() signal. Because of this, you must start and stop the timer in its thread; it is not possible to start a timer from another thread.

Qt behaves the same irrespective of whether it is used in a C++ or a Python application. Considering that C++ and Python use different language semantics, some differences between the two variants …