How do I handle floating-point precision issues?

Floating-point precision issues occur because many decimal numbers cannot be represented exactly in binary format. This can lead to unexpected results in calculations. To handle these issues, you can use techniques such as rounding, utilizing the `decimal` module, or using libraries designed for high-precision calculations.

Here's an example using the `decimal` module in Python to demonstrate how to avoid floating-point precision issues:


        from decimal import Decimal, getcontext

        # Set precision to 28 digits
        getcontext().prec = 28

        # Example calculations
        num1 = Decimal('0.1')
        num2 = Decimal('0.2')
        sum = num1 + num2

        print(sum)  # Output: 0.3