[Numpy-discussion] At.: use less RAM memory and increase execution speed

[Josè Luis Mietta]

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() function for deleting useless arrays. 

Is that true?

In adition, I wanna  increase execution speed of my code (I use numpy and SciPy functions). How can I apply Cython? Will it help?


Please help.

Thanks a lot!!
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