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copied!<p>I think you're searching for a python profiler ; </p> <p>you have a bunch of them that you can use , like <a href="http://guppy-pe.sourceforge.net/#Heapy">Heapy</a>, <a href="http://docs.python.org/library/profile.html">profile or cprofile</a> , <a href="http://pysizer.8325.org/">Pysize</a> ...</p> <p><strong>example using Heapy :</strong></p> <p>you have to include this snippet somewhere in your code:</p> <pre><code>from guppy import hpy h = hpy() print h.heap() </code></pre> <p>and it will give you as output:</p> <pre><code>Partition of a set of 132527 objects. Total size = 8301532 bytes. Index Count % Size % Cumulative % Kind (class / dict of class) 0 35144 27 2140412 26 2140412 26 str 1 38397 29 1309020 16 3449432 42 tuple 2 530 0 739856 9 4189288 50 dict (no owner) </code></pre> <p><strong>example with cprofile :</strong></p> <p>you can run it like this:</p> <pre><code>python -m cProfile script.py </code></pre> <p>Output:</p> <pre><code> 5 function calls in 0.000 CPU seconds Ordered by: standard name ncalls tottime percall cumtime percall filename:lineno(function) 1 0.000 0.000 0.000 0.000 <string>:1(<module>) 1 0.000 0.000 0.000 0.000 myscript.py:1(<module>) 1 0.000 0.000 0.000 0.000 {execfile} 1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects} 1 0.000 0.000 0.000 0.000 {range} </code></pre> <p>You can also use <a href="http://docs.python.org/library/gc.html">gc</a> module to know why python is not freeing your memory, and to ask him to free memory using <a href="http://docs.python.org/library/gc.html#gc.collect">gc.collect()</a>.</p> <p>By the way have you looked at <a href="http://numpy.scipy.org/">numpy</a>, i think it more suitable if you're doing heavy calculation like you said.</p>

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