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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