Dear Numpy users, I have a memory leak in my code. A simple way to reproduce my problem is: import numpy class test(): def __init__(self): pass def t(self): temp = numpy.zeros([200,100,100]) A = numpy.zeros([200], dtype = numpy.float) for i in range(200): A[i] = numpy.sum( temp[i].diagonal() ) return A a = test() c = [a.t() for i in range(100)] Running this script will require 1.5 Gb of memory since the 16 mb of temp arrays are never deallocated. How can I solve this problem? Thanks in advances, Pietro Bonfa' P.S: I asked the same question also on stack overflow (http://stackoverflow.com/questions/17085197/is-this-a-memory-leak-python-num... ) -- Pietro Bonfa' - PhD student Dipartimento di Fisica e Scienze della Terra "Macedonio Melloni" Viale delle Scienze 7A 43124 Parma - Italy