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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).
A set of related columns is usually called a row, and a table is a collection of rows. As for database structures, every table has a definition, which includes stuff like the table's name, its columns, its keys and indexes, etc. This can be called the table's structure or table's schema. A database structure, or more formally a database schema, is the set of table schemas, as well as other objects such as stored procedures, triggers, security and access definitions, etc that make up the db world for a particular db application.