Python Class Vs Dictionary !!

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i think the distinction between classes and dictionaries is made indistinct in python by the fact that the former are implemented using the latter slots not withstanding i know this confused me a bit when i was first learning the language along with the fact that classes were objects and therefore instances of some mysterious metaclasses martineau oct 29 10 at 17 53.

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a class definition takes a considerably higher amount of memory compared to instances of a class for example the dict class clocks in at 800 bytes in these tests while the empty dictionary only takes 280 bytes of course a definition only has to be loaded once definitions class a python class object an instance of a class.

python dictionary vs object which is more efficient and why.

i choose a class if it is going to have methods if op is going to be doing analysis on a dataset a list or dictionary of dictionaries makes sense setdefault items and others are useful sure you can do anything with class you can do with a dict but its more straight forward to just use a dict if you re only going to be using it like a dict.

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03 10 2010 classa 100 000 class attributes vs classb single level dictionary with 100 000 entries it is 12 85 faster to use a single class attribute single level dictionary to store 100 000 variables than it is to use 100 000 class attributes classc 100 000 class attributes vs classd 5 level dictionary with 100 000 entries.

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25 10 2010 class my dict dict slots md my dict so now attempting to use arbitrary attributes will fail md foo bar traceback most recent call last file stdin line 1 in module attributeerror my dict object has no attribute foo and this python class acts more like a dict.

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09 02 2016 as noted in the comments below it s worth mentioning that doing this the abc way essentially turns your object class into a dict like class assuming you use mutablemapping and not the read only mapping base class everything you would be able to do with dict you could do with your own class object this may be or may not be desirable.
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