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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).
Data elements. A data element in Data Dictionary's context is a column in a table. The figure above provides a visual representation of what a table and its elements (columns) are. On the highest level there are two classes of data elements in DD: 1  non-common elements belong into a certain single table and they cannot be used in any other tables. They are defined within that certain table and they do not have a life outside of that table. 2  common elements do not belong into a certain single table.