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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 Structures in Python. When working with data, we need ways to store it in variables so we can manipulate it. We will use two new data structures that we didn't cover in Introduction to Programming. These are lists and dictionaries.(This chapter contains the same content as the Data Structures in Python chapter of the Websites with Python Flask workshop.). If you are already comfortable with lists and dictionaries then you can skip this and move on to the next chapter.hese are lists and dictionaries. (This chapter contains the same content as the Data Structures in Python chapter of the Websites with Python Flask workshop.). If you are already comfortable with lists and dictionaries then you can skip this and move on to the next chapter.