You still get multiple threads, which is still useful. Note that many operations do unlock the GIL and give you parallelism, for example performing I/O. So using QThreads in Python to implement parallel I/O or asynchronous I/O is very much a reasonable thing to do.
It just won't help with speeding up CPU-limited Python code. -Marian Am 06.12.19 um 17:33 schrieb Jason H: > What those links say and what is actually happening here are two different > things. > > It looks like the only way he can do this is to write the thread code in C++, > and export that through Shiboken to Python. So the lines: > for idx, val in enumerate(self.dataset): > self.dataset[idx] = val * 50 > > Have to: > 1) Operate on Qt data (QMap?) > 2) Have the QRunnable implemented in C++ > 3) Export the class to Python, > 4) Have Python start the thread > > I find myself asking why QThread exits at all n PySide or at least not have > documentation saying that using the class(es) as one would in C++ will not > have the same behavior as in C++. _______________________________________________ PySide mailing list PySide@qt-project.org https://lists.qt-project.org/listinfo/pyside
