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 PyQt5 tutorial we'll cover how to avoid this happening and keep your applications running smoothly, no matter the workload.
Threads & Processes
Start with “Multithreading PyQt applications with QThreadPool”
Threads & Processes
| Multithreading PyQt applications with QThreadPool
(0:16:35)
Run background tasks concurrently without impacting your UI |
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| Using QProcess to run external programs
(0:10:24)
Run background programs without impacting your UI |