xrange should be more memory efficient than range:
http://stackoverflow.com/questions/135041/should-you-always-favor-xrange-over-range
Replacing arrays with lists is probably a bad idea for a lot of reasons.
You'll lose nice vectorization of simple operations, and all of numpy's
other benefits.
On Thu, Sep 26, 2013 at 7:19 PM, Josè Luis Mietta <
joseluismie...@yahoo.com.ar> wrote:
>
> Hi experts!
>
> I wanna use less RAM memory in my Monte Carlo simulations. In my
algorithm I use numpy arrays and xrange() function.
> I hear that I can reduce RAM used in my lagorithm if I do the next:
>
>
Hi experts!
I wanna use less RAM memory in my Monte Carlo simulations. In my algorithm I
use numpy arrays and xrange() function.
I hear that I can reduce RAM used in my lagorithm if I do the next:
1) replace xrange() for range().
2) replace numpya arrays for python lists
3) use reset() funct
