for loop (5/5)
We haven't already discussed how can we use for
loop to iterate over dictionaries, as this data structure completely differs from others. If you try to iterate just over a dictionary, it will iterate over its keys. So, it's the same that iterating over dict.keys()
.
In the previous section we saved countries as a dictionary too. And this time it will be much understandable how to print information. Let's see
1234567891011# data countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 'Germany': (357114, 83783942)} countries_dict["Brazil"] = (8515767, 212559417) countries_dict["India"] = (3166391, 1380004385) # for loop for i in countries_dict.keys(): print("Country name:", i) print("Area:", countries_dict[i][0]) print("Population:", countries_dict[i][1]) print("---------")
There key was country name and respective value - is a tuple with area and population. You see, that this for
loop is much "friendlier" than the previous ones.
Swipe to start coding
Using the same approach, print each person's name, age, and height from people_d
dictionary.
Solution
Merci pour vos commentaires !
single
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Completion rate improved to 2.33
for loop (5/5)
We haven't already discussed how can we use for
loop to iterate over dictionaries, as this data structure completely differs from others. If you try to iterate just over a dictionary, it will iterate over its keys. So, it's the same that iterating over dict.keys()
.
In the previous section we saved countries as a dictionary too. And this time it will be much understandable how to print information. Let's see
1234567891011# data countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 'Germany': (357114, 83783942)} countries_dict["Brazil"] = (8515767, 212559417) countries_dict["India"] = (3166391, 1380004385) # for loop for i in countries_dict.keys(): print("Country name:", i) print("Area:", countries_dict[i][0]) print("Population:", countries_dict[i][1]) print("---------")
There key was country name and respective value - is a tuple with area and population. You see, that this for
loop is much "friendlier" than the previous ones.
Swipe to start coding
Using the same approach, print each person's name, age, and height from people_d
dictionary.
Solution
Merci pour vos commentaires !
single
Awesome!
Completion rate improved to 2.33
for loop (5/5)
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We haven't already discussed how can we use for
loop to iterate over dictionaries, as this data structure completely differs from others. If you try to iterate just over a dictionary, it will iterate over its keys. So, it's the same that iterating over dict.keys()
.
In the previous section we saved countries as a dictionary too. And this time it will be much understandable how to print information. Let's see
1234567891011# data countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 'Germany': (357114, 83783942)} countries_dict["Brazil"] = (8515767, 212559417) countries_dict["India"] = (3166391, 1380004385) # for loop for i in countries_dict.keys(): print("Country name:", i) print("Area:", countries_dict[i][0]) print("Population:", countries_dict[i][1]) print("---------")
There key was country name and respective value - is a tuple with area and population. You see, that this for
loop is much "friendlier" than the previous ones.
Swipe to start coding
Using the same approach, print each person's name, age, and height from people_d
dictionary.
Solution
Merci pour vos commentaires !