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PYTHON - NUMBERS

As we have seen in the 'Data Types' topic, there are three types of Numbers supported by Python.

'int' Data Type that supports integers

The 'int' Data Type supports, a whole number(that can be positive or negative) of indefinite length.

Example :
```
x = 5
y = -14
z = 4356674543356
print(type(x)) 
print(type(y))
print(type(z))
    
```
Output :

<class 'int'>
<class 'int'>
<class 'int'>

So, if you see the above code, the variable 'x' is holding a positive number (i.e. '5'),
```
x = 5
    
```
The variable 'y' is holding a negative number (i.e. '-14')
```
y = -14
    
```
And the variable 'z' is holding a very large value (i.e. '4356674543356').
```
z = 4356674543356
        
```
Now, if you see the Data Type of all the variables,
```
print(type(x)) 
print(type(y))
print(type(z))
    
```
They are if 'int' type.
```
<class 'int'>
    
```
'float' Data Type that supports floating point numbers

The 'Data Type' for a floating point number is 'float'.

Example :
```
x = 5.987
print(type(x))
    
```
Output :

float
'complex' Data Type that supports data which has a real and and imaginary part.

In Mathematics, you can find lots of formulas where there is a real part and an imaginary part.

Say, for example

x = 2 + 5j

Where '2' is the real part and the number '5'(i.e. Of '5j') is the imaginary part.

Example :
```
x = 2 + 5j
print(type(x)) 
    
```
Output :

complex

So, in the expressions,

y = 2 + 5j

Is of 'complex' Data Types.

Now, if you want to check the real and imaginary part of '2 + 5j'.

Let us see with the below example,

Example :
```
x = 2 + 5j
print(x.real)
print(x.imag) 
    
```
Output :

2.0
5.0

So, we have used the 'x.real',

print(x.real)

And, x.imag,

print(x.imag)

In the print statement and got the real number (i.e. '2.0') and the imaginary number (i.e. '5.0') in the output.

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PYTHON - NUMBERS

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