What is the difference between float and decimal in Python?

What is the difference between float and decimal in Python?

In Python, 'float' is a binary floating-point number, while 'decimal' is a decimal floating-point number. Floats are faster but can introduce precision errors in calculations, especially with very large or very small numbers. Decimals, on the other hand, provide more precise control over decimal representation, making them ideal for financial applications.

When should I use decimal instead of float?

You should use 'decimal' when you need precise decimal representation, such as in financial calculations, where rounding errors from floats can lead to significant issues.

Can you give an example of using both in Python?

Sure! Here's a simple example:

from decimal import Decimal

# Using float
float_value = 0.1 + 0.2
print(float_value)  # Output: 0.30000000000000004

# Using decimal
decimal_value = Decimal('0.1') + Decimal('0.2')
print(decimal_value)  # Output: 0.3