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Floating-point numbers correspond to real numbers in mathematics.
Floating-point numbers are also called decimals, which correspond to real numbers mathematically. In Python, floating-point numbers are numbers with decimal points.

Numbers in Python are the same as those in mathematics, and various calculations can be realized through various operators. In Python, there are four data formats of numeric types: integer, floating point, complex and Boolean.

Specific application of floating-point number

1, floating-point numbers correspond to real numbers mathematically. Because the number of floating-point numbers stored in computer memory is limited, it will end approximately after exceeding the specified length. So floating-point numbers are not necessarily exact values.

2. The floating-point number type is consistent with the concept of real number in mathematics, and a numerical value is represented by a decimal.

3.Python language requires that all floating-point numbers must have a decimal part, and the decimal part can be 0 to distinguish floating-point numbers from integer types.

4. There are two representations of floating-point numbers: decimal representation and scientific notation.

5. Role: generally record salary, height, weight, etc.

6. For example:

10 10 is an integer and 10 10.0 is a floating-point number.

Height = 1.80

Weight = 60.0

Print (Type (Height))

0.0,77,-3. 14,96e4,4.3e-3,9.6E5 .