Another data type used to store values in a variable is called a python number.
Python Number Type
Number data types have two major categories in Python. A number that does not contain a decimal point value is considered an integer or
int. This is the first category within the number data type. A numeric value with decimal precision is called
float or a floating-point number. This is the second category. Let’s try to use some
float data types. Type the following code line-by-line in your notebook:
operand_one = 30 operand_two = 7 result = operand_one / operand_two # 30 / 7 = 4.285714285714286 print(result) print(type(operand_one)) print(type(operand_two)) print(type(result))
4.285714285714286 <class 'int'> <class 'int'> <class 'float'>
As shown above, we stored the numbers
7 in two different variables
operand_two. We also stored the outcome of dividing
operand_two in a variable called
result. Now, when we check the value stored in the result it turns out to be a value with decimal point precision in it.
In order to check the type of data stored in a given variable, we use a helper function (more on functions later) called:
type(value or variable name). Within the brackets we need to add what we are looking to evaluate. Let’s examine how to use this. For example, if we want to check the type of data stored in a variable called
operand_one, we will use this function as
type(operand_one) and it will return the data type of the value stored in that variable.
operand_two are storing values of
int type, and
result is storing a value of
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