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up vote 2 down vote favorite. 1. Python has a lot of convenient data structures (lists, tuples, dicts, sets, etc) which can be used to make other 'conventional' data structures (Eg, I can use a Python list to create a stack and a collections.dequeue to make a queue, dicts to make trees and graphs, etc).p vote 2 down vote favorite. 1. Python has a lot of convenient data structures (lists, tuples, dicts, sets, etc) which can be used to make other 'conventional' data structures (Eg, I can use a Python list to create a stack and a collections.dequeue to make a queue, dicts to make trees and graphs, etc).
Each element has a number of properties associated with it: 1  a tag which is a string identifying what kind of data this element represents (the element type, in other words). 2  a number of attributes, stored in a Python dictionary. 3  a text string.  an optional tail 1  string. a number of child elements, stored in a Python sequence.