On Sat, Feb 02, 2019 at 03:22:12PM -0800, Christopher Barker wrote: [This bit was me] > Even numpy supports inhomogeneous data: > > py> a = np.array([1, 'spam']) > > py> a > > array(['1', 'spam'], > > dtype='|S4') > > > well, no -- it doesn't -- look carefully, that is an array or type '!S4' -- > i,e, a 4 element long string --every element in that array is that same > type.
So it is. I wondered what the cryptic '|S4' symbol meant, and I completely missed the '' quotes around the 1. Thanks for the correction. [...] > c = np.sqrt(a**2 + b**2) > > is a heck of a lot easer to read, write, and get correct than: > > c = list(map(math.sqrt, map(lambda x, y: x + y, map(lambda x: x**2, a), > map(lambda x: x**2, b) > ))) Indeed. This hypothetical syntax brings the readability advantages of infix operators to code that operates on iterables, without requiring every iterable to support arbitrary functions and methods. -- Steve _______________________________________________ Python-ideas mailing list Python-ideas@python.org https://mail.python.org/mailman/listinfo/python-ideas Code of Conduct: http://python.org/psf/codeofconduct/