Python provides basic numerical types such as arbitrarily sized integers and floating-point numbers (double precision) as standard, but it also provides several additional types that are useful in specific applications where precision is especially important. Python also provides (built-in) support for complex numbers, which are useful for some more advanced mathematical applications.

## Decimal type

For applications that require decimal digits with accurate arithmetic operations, use the`Decimal` type from the`decimal` module in the Python Standard Library:

from decimal import Decimal

num1 = Decimal('1.1')

num2 = Decimal('1.563')

num1 + num2 # Decimal('2.663')

Performing this calculation with float objects gives the result 2.6630000000000003, which includes a small error arising from the fact that certain numbers cannot be represented exactly using a finite sum of powers of 2. For example, 0.1 has a binary...