Let’s say you are writing software that handles monetary transactions. If you used Python’s built-in floating-point arithmetic to calculate a sum, it would result in a weirdly formatted number.

cost_of_gum = 0.10 cost_of_gumdrop = 0.35 cost_of_transaction = cost_of_gum + cost_of_gumdrop # Returns 0.44999999999999996

Being familiar with rounding errors in floating-point arithmetic you want to use a data type that performs decimal arithmetic more accurately. You could do the following:

from decimal import Decimal cost_of_gum = Decimal('0.10') cost_of_gumdrop = Decimal('0.35') cost_of_transaction = cost_of_gum + cost_of_gumdrop # Returns 0.45 instead of 0.44999999999999996

Above, we use the `decimal`

module’s `Decimal`

data type to add 0.10 with 0.35. Since we used the `Decimal`

type the arithmetic acts much more as expected.

Usually, modules will provide functions or data types that we can then use to solve a general problem, allowing us more time to focus on the software that we are building to solve a more specific problem.

Ready, set, fix some floating point math by using decimals!

### Instructions

**1.**

Run your code to see the weird floating point math that occurs.

**2.**

In **script.py** import `Decimal`

from the `decimal`

module.

**3.**

Use `Decimal`

to make `two_decimal_points`

only have two decimals points and `four_decimal_points`

to only have four decimal points.