Hello, this is my first post on the forums. I’m in Canada and currently 35% through the Data and Programming Foundations for AI course. I’m at the part where they asked me to put up a project to be peer reviewed. I’ve completed the Frida Kahlo Project and I think I did alright but if anyone could review what I did and give me some notes I would very much appreciate it.
# Step 1: Create a list of paintings
paintings = ["The Two Fridas", "My Dress Hangs Here", "Tree of Hope", "Self Portrait With Monkeys"]
# Step 2: Create a list of dates
dates = [1939, 1933, 1946, 1940]
# Step 3: Combine paintings and dates
paintings = list(zip(paintings, dates))
# Step 4: Append new entries to paintings
paintings.append(("The Broken Column", 1944))
paintings.append(("The Wounded Deer", 1946))
paintings.append(("Me and My Doll", 1937))
print(paintings)
# Step 5: Measure length of paintings
total_paintings = len(paintings)
# Step 6: Create a listed range equal to length of paintings
audio_tour_number = list(range(1, total_paintings + 1))
print(audio_tour_number)
# Step 7: Create a master list of all lists
master_list = list(zip(audio_tour_number, paintings))
# Step 8: Print master_list
print(master_list)