Numbers in Python

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We introduced the Number data type in the previous article and in this article, we will learn more about it. So what are we waiting for let’s learn?

We can categorize the Numbers in Python into three numeric types. Those are listed below:

• int
• float
• complex

faceprep.in

To create variables with the numeric types we need to just assign the relevant value to variables. Below is the example code for the same:

Numeric variable declaration example

To verify the type of variable or object we can use type() as previously discussed.

Integer (Int):

Int, or integer, is a whole number, positive or negative, without decimals, of unlimited length.

The below figure shows that how we can declare the int variable and verify the type of variable.

Declaration and verification int variable

Output

Float:

Float, or “floating-point number” is a number, positive or negative, containing one or more decimals.

You can refer to the below figures to understand the declaration and verification of the float type variables.

Declaration and verification float variable

Output

Float type can also be represented as a scientific number with an “e” to indicate the power of 10.

Float as Scientific number

Output

Complex:

Complex numbers are written with a “j” as the imaginary part and blow figure is the example for declaring the complex numbers:

Type Conversion

We can convert from one numeric type to another with the int(), float(), and complex() methods as given below:

Code for type conversion

Output

Note: You cannot convert complex numbers into another number type.

Random Number

Python does not have a random() function to make a random number, but Python has a built-in module called random that can be used to make random numbers. For example:

Code

Output