Hi everybody,
I leave my solution for this project in the next link:
I hope it is useful for someone else and I await your comments for possible errors or suggestions.
Have a good day!
Gustavo
Hi everybody,
I leave my solution for this project in the next link:
I hope it is useful for someone else and I await your comments for possible errors or suggestions.
Have a good day!
Gustavo
Nice analysis and documentation! The solution looks correct to me - here are just some suggestions to make the code a bit shorter:
[i * 0 for i in range(N)]
Alternatively, you could use:
[0 for i in range(N)]
or, even shorter:
[0]*N
if charge == data[0]:
cost[0] = ...
elif charge == data[1]:
cost[1] = ...
else:
...
Alternatively you could use the .index method of lists to find the index of charge in data and avoid the if-else completely:
idx = data.index(charge)
cost[idx] = ...
cost_under_25 = [c[1] for c in cost_by_age if c[0] < 25]
average_cost_under_25 = sum(cost_under_25) / len(cost_under_25)
Of course, using numpy and pandas would shorten the code even futrher
Have a nice day!
Beta
Thank you so much for your comments. I’m sure that I will use these shorter ways in the future!