Steve D'Aprano wrote:
It should be obvious that if you allow the use of external libraries that can contain arbitrary amounts of code, *without* counting that external code towards your measure of code complexity, you get a bogus measurement of code complexity.
Numpy isn't really doing a lot here, just saving you from having to write some explicit loops. The code would be maybe 2 or 3 times bigger at most without it. What this example says to me is not so much how powerful Python is, but how simple in essence neural networks are. -- Greg -- https://mail.python.org/mailman/listinfo/python-list
