Understanding Numeric Data Types in Python
Understanding numeric data types in python. Integer, Float, Complex, and Boolean.
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Numeric Data Types in Python
This numeric data types in python are.
- Integer
- Float
- Complex
- Boolean
Let’s take an example 5,8,0,-5,55.
All the above values are integers.
a=5 here in python variable a is assigned with an integer data type.
What is the maximum value we can assign?
In python, we don’t have any limit. we can assign any value.
Example take a=99999999. we can take a hundred 9’s.
In c and java, we don’t have that flexibility.
Take Floating-point numbers example x=2.55.
In python, floating-point numbers are represented using the double-precision format.
In double precision format, they use 64 bits to represent the value.
The maximum number that can be represented using floating point in python is 1.7976931348623157e+308.
The minimum positive value we can represent is 2.2*10power-308.
If we want to display any floating-point number above the maximum value it will show as inf. here inf means infinite.
Let’s understand complex numbers.
Example a = 2+5j.
a is a complex number.
type(a) is given as complex.
Boolean variables are taken two values. True or false.
a=True is a Boolean variable.
True is considered as 1 and false is considered as 0.
We discuss much the Boolean and complex variable in our next class when we discuss comparison operators.