Over in the NumPy stubs there's an issue https://github.com/numpy/numpy-stubs/issues/41
which points out that you can in fact do something like ``` np.float32([1.0, 0.0, 0.0]) ``` to construct an ndarray of float32. It seems to me that though you can do that, it is not a best practice, and one should instead do ``` np.array([1.0, 0.0, 0.0], dtype=np.float32) ``` Do people agree with that assessment of what the best practice is? If so, it seems to make the most sense to continue banning constructs like `np.float32([1.0, 0.0, 0.0])` in the type stubs (as they should promote making easy-to-understand, scalable NumPy code). - Josh _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
