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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).
Unlike in C++ and Java, Python variables don't contain explicit type information. If you're using a function that requires a string, you can pass variables of other types to it without throwing an exception, although your code may throw an exception when it tries to process the variable.The only data types you may need to convert to strings are compound data structures such as sets and lists.Python includes convenient functions and operators for iterating over the items in a data structure and appending characters to a string variable.n Python, you can call these methods from a string literal, so to concatenate list elements, for example, you can pass a list variable to a string literal's join method as in the following example: tokens = ['Hello', 'World'] #string tokens without whitespace.