Very well done! Naturally, we can do more than just print each element. In the following example, we'll calculate the average value from all values in the nested lists:
donations = [
[345.0, 287.80, 119.27, 329.30],
[294.25, 349.0, 178.90, 262.34],
[401.0, 456.45, 289.43, 319.27]
]
total_sum = 0
total_count = 0
for day in donations:
for place in day:
total_sum += place
total_count += 1
average = total_sum/total_count
Before iterating over the nested lists, we created two temporary variables: total_sum and total_count. Inside the nested loops, we updated their values accordingly. After the iteration process, we divided the first value (total_sum) by the second value (total_count) to get the average.
We are now given more detailed hackathon results – instead of just team names, hackathon_results now stores tuples with team names and their application scores, which range from 0 to 100.
Calculate how many times each team scored more than 75 points. Create a count_good_results dictionary. The keys should be team names, and the values should be the number of times a given team got more than 75 points.
Inside the nested loop, unpack the given tuple:
for application in hackathon_results:
for team in application:
name, score = team
