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Data Types in Python

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Converting: float()

Given that we have already acquired an understanding of the int() operation, it is unnecessary to reiterate the same information. The float() function serves a similar purpose, with the distinction of converting data into the floating-point data type.Look at this simple example:😁

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variable1 = 56 variable2 = "98.7" variable3 = "5e4" print(float(variable1)) print(float(variable2)) print(float(variable3))
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It seems to me that one fascinating feature of the float() function should be noted. Not only can we represent regular numbers, but we can also represent concepts like infinity and Not a Number (NaN).

Opgave

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You should take everything with a grain of salt! Try to check the output of the statements that are given in the task. They should be clear for Python too. Just output the code.

NaN - values that were not defined

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book
Converting: float()

Given that we have already acquired an understanding of the int() operation, it is unnecessary to reiterate the same information. The float() function serves a similar purpose, with the distinction of converting data into the floating-point data type.Look at this simple example:😁

1234567
variable1 = 56 variable2 = "98.7" variable3 = "5e4" print(float(variable1)) print(float(variable2)) print(float(variable3))
copy

It seems to me that one fascinating feature of the float() function should be noted. Not only can we represent regular numbers, but we can also represent concepts like infinity and Not a Number (NaN).

Opgave

Swipe to start coding

You should take everything with a grain of salt! Try to check the output of the statements that are given in the task. They should be clear for Python too. Just output the code.

NaN - values that were not defined

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

close

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Completion rate improved to 2.94

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