### Question

Can we perform operations between 1-D and 2-D NumPy Arrays?

### Answer

Yes, when performing an operation between a 1-D and a 2-D NumPy Array, it will essentially perform the operation on the 1-D array with each row of the 2-D Array individually.

As a result, it is only possible if the number of elements for every row in both Arrays match.

For example, these two arrays have 2 elements in each row, so you can perform an operation on them.

```
# When we perform an operation on these arrays,
# it is essentially running the operation
# on each row of the 2-D list with the 1-D list.
arr1 = np.array([[1, 1], [2, 2], [3, 3]])
arr2 = np.array([10, 10])
arr1 * arr2
# The result of running the above is
# [[10 10]
# [20 20]
# [30 30]]
```