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I read that one could manually collect garbage using 

gc.collect()

Now I'm wondering when it is useful to do so. I suppose it is to some extent general Python logic. Say I have a large loop and in each loop will use big matrices Z and rewrite them again and again. Is it useful to remove the matrices and collect garbage in the end, if I don't change the size of Z?

The general question Under which circumstances can one actually observe the impact of forced garbage collection, especially when doing lots of numerical computation within numpy?

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FooBar
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    This is nearly a duplicate of: http://stackoverflow.com/questions/23977904/how-to-implement-garbage-collection-in-numpy – Benjamin Dec 08 '15 at 02:25

1 Answers1

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As you can see in the answers in the comment, the simplest way to release memory is del array and let the garbage collector do its job.

Ramon Crehuet
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