Threads & Processes
Run concurrent tasks without impacting your PySide UI

As your applications become more complex you may finding yourself wanting to perform long-running tasks, such as interacting with remote APIs or performing complex calculations. By default any code you write exists in the same thread and process, meaning your long-running code can actually block Qt execution and cause your Python GUI app to "hang". In this PySide tutorial we'll cover how to avoid this happening and keep your applications running smoothly, no matter the workload.

Start with “Multithreading PySide2 applications with QThreadPool”