I've recently been using python more and more in place of c/c++ because of it cuts my coding time by a factor of a few. At the same time, when I'm processing large amounts of data, the speed at which my python programs run starts to become a lot slower than in c. I'm wondering if this is due to me using large objects/arrays inefficiently. Is there any comprehensive guide just to how memory is handled by numpy/python? When things are passed by reference and when by value, when things are copied and when not, what types are mutable and which are not.
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