5 Ways List and Dictionary Data Structures Could Keep Track of Common Information

Sure, I'd be happy to provide some more examples on how lists and dictionaries in Python can be used to keep track of common information. Lists: Lists are mutable, ordered collections of items which can be of any type. 1. Let's consider a class of students - you could keep track of all the students in a class with a list called 'students': ```python students = ["John", "Sarah", "Mike", "Emma", "Tom"] ``` 2. You could also track the ages of your immediate family members: ```python family_member_ages = [35, 60, 62, 30, 2] ``` Dictionaries: A dictionary in Python is a collection of key-value pairs. Each key-value pair maps the key to its associated value. 1. For a pet clinic, you might want to keep track of the names of the pets and their corresponding owner's name: ```python pets_owners = {"Fluffy": "Sarah", "Spot": "Mike", "Whiskers": "Emma"} ``` 2. If you were a teacher, you could also keep track of the grades of your students in a dictionary, where the keys are the student's names and the values are their grades. ```python grades = {"John": 85, "Sarah": 92, "Mike": 78, "Emma": 88, "Tom": 90} ``` In both cases, the data structures (list and dictionary) provide an efficient way to store and access data.