I find this Alternative employing a dictionary alternatively exquisite, powerful and pythonic. Early optimisations are evil in any case so let us Have a very dict and find out later it it's a bottleneck.
The point of descriptors is straightforward (Even though you almost never will need them): Summary popular code for attribute access. home is undoubtedly an abstraction for instance variable entry, perform provides an abstraction for procedures, staticmethod provides an abstraction for strategies that Really don't require instance entry and classmethod provides an abstraction for methods that have to have course access rather then instance accessibility (that is a bit simplified).
It seems that for those who compile both versions of the above mentioned and compare the IL produced for every you'll see that They are really NEARLY exactly the same.
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What is the get Distinctive process executing During this course decorator? See much more connected questions Linked
to grasp what Python's descriptors are and what they are useful for. I understand how they work, but here are my uncertainties. Contemplate the following code:
@CSZ: .get solves a dilemma that lists don't have - an productive way to stay away from exceptions when getting data that may not exist. It's super trivial and very efficient to know what a valid listing index is, but there is not any especially good way To achieve this for key values inside a dictionary.
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