How can I make this piece of code even faster?

[Joshua Landau]

On 20 July 2013 21:22,  <pablobarhamalzas at gmail.com> wrote:
> Ok, I'm working on a predator/prey simulation, which evolve using genetic algorithms. At the moment, they use a quite simple feed-forward neural network, which can change size over time. Each brain "tick" is performed by the following function (inside the Brain class):
>
<CODE>
>
> The function is actually quite fast (~0.040 seconds per 200 calls, using 10 input, 20 hidden and 3 output neurons), and used to be much slower untill I fiddled about with it a bit to make it faster. However, it is still somewhat slow for what I need it.
>
> My question to you is if you an see any obvious (or not so obvious) way of making this faster. I've heard about numpy and have been reading about it, but I really can't see how it could be implemented here.

Currently we're just guessing; if you gave us an appropriate stand-in
for "self" (so that we can call the function) we could be helpful much
more easily.