Newcars

# List 1: Car brands

car_brands = ["Tesla", "Toyota", "BMW", "Ford", "Hyundai"]

# List 2: Car colors

car_colors = ["Red", "Black", "Blue", "White", "Silver"]

# List 3: Car prices (in USD)

car_prices = [55000, 32000, 67000, 40000, 30000]

# List 4: Car features

car_features = ["Electric", "Hybrid", "Luxury", "SUV", "Compact"]

Part 2: Explore the Lists

Use basic list operations to explore and manipulate the data.

1. Print the number of brands available.

print("Number of car brands:", len(car_brands))

2. Display the first and last car in the list. 

print("First car:", car_brands[0])

print("Last car:", car_brands[-1])

3. Find the most expensive and least expensive car. 

print("Most expensive car:", max(car_prices))

print("Least expensive car:", min(car_prices))

4. Combine information using indexes. 

for i in range(len(car_brands)):

    print(f"{car_brands[i]} - {car_colors[i]} - ${car_prices[i]} - {car_features[i]}")

Bonus Challenge 💡

Create a new list called eco_friendly_cars that includes only cars with the feature "Electric" or "Hybrid".