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Leer Nested Lists in Python | Other Data Types in Python
Introduction to Python(ihor)

bookNested Lists in Python

Lists in Python can store different data types, including other lists. For example, when storing countries and their areas, it's more organized to use a separate list for each country instead of a single combined list.

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# Two-dimensional list countries_2d = [["USA", 9629091], ["Canada", 9984670], ["Germany", 357114]] # Printing nested list print(countries_2d)
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Each country has its own nested list within the main list. In a two-dimensional list, each element is itself a list, and we access inner items using indexing. For example, in a countries_2d list with three sublists, countries_2d[1] retrieves the second sublist (indexing starts at 0), and countries_2d[1][0] fetches the first item of that sublist.

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# Two-dimensional list countries_2d = [['USA', 9629091], ['Canada', 9984670], ['Germany', 357114]] # Pull elements print(countries_2d[1]) print(countries_2d[1][0])
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question mark

Which of the following is the correct way to extract values from a nested list?

Select the correct answer

Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 4. Hoofdstuk 4

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bookNested Lists in Python

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Lists in Python can store different data types, including other lists. For example, when storing countries and their areas, it's more organized to use a separate list for each country instead of a single combined list.

12345
# Two-dimensional list countries_2d = [["USA", 9629091], ["Canada", 9984670], ["Germany", 357114]] # Printing nested list print(countries_2d)
copy

Each country has its own nested list within the main list. In a two-dimensional list, each element is itself a list, and we access inner items using indexing. For example, in a countries_2d list with three sublists, countries_2d[1] retrieves the second sublist (indexing starts at 0), and countries_2d[1][0] fetches the first item of that sublist.

123456
# Two-dimensional list countries_2d = [['USA', 9629091], ['Canada', 9984670], ['Germany', 357114]] # Pull elements print(countries_2d[1]) print(countries_2d[1][0])
copy
question mark

Which of the following is the correct way to extract values from a nested list?

Select the correct answer

Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 4. Hoofdstuk 4
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