Python has a significant upper hand while working with integers because it has no integer overflow problem, which allows the user to create variables without thinking about their size. However, it depends upon the amount of free memory available in the system.
Python also supports an integer type
bignum, which stores arbitrarily very large numbers. In Python 2.5+, this integer type is called
long, which does the same function as
bignum, and in Python 3 and above, there is only one
int that represents all types of integers irrespective of their size.
Example to show the type of integer in Python 2.7:
x=10 print(type(x)) y=111111111111111111111111111111111111111111111111111111111111111111 print(type(y))
<class 'int'> <class 'long'>
Example to show the type of integer in Python 3:
x=10 print(type(x)) y=1111111111111111111111111111111111111111111111111111111111111111111 print(type(y))
<class 'int'> <class 'int'>
The output clearly shows that, in later versions of Python, the interpreter on its own stores the large integer numbers.