Jan. 29, 2019
8:45 p.m.
On Jan 29, 2019, at 12:15 AM, Matti Picus <matti.picus@gmail.com> wrote:
Perhaps you could suggest they add this explanation (or if it is in our documentation point out where you think would be appropriate) since it seems many people have problems with dtypes and overflow.
arange() is particularly problematic, as it defaults(in the common case) to integers, which are less familiar to new users than float64, which numpy uses as default dtype in most places. And many (most) use of arange() would be better served by lib space anyway. -CHB
Matti
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