Understanding Python Data Types: Lists, Tuples, and Dictionaries
1. Lists: The Mutable Workhorse Practical Example: Shopping Cart # Create shopping cart shopping_cart = ["apples", "milk", "bread"] # Modify cart shopping_cart.append("eggs") shopping_cart.remove("milk") shopping_cart[1] = "whole wheat bread" When to Use: Dynamic data, frequent modifications, ordered collections 2. Tuples: The Immutable Container Practical Example: GPS Coordinates # Store location coordinates office_location = (40.7128, -74.0060) # Access values latitude = office_location[0] longitude = office_location[1] When to Use: Fixed data, dictionary keys, memory efficiency 3. Dictionaries: Key-Value Storage Practical Example: User Profile ...