For instance, if we wanted to take x1 and use np.add to sum the array, we could use the .add method np.add.accumulate(x1) instead of looping over each element in the array to create a sum.

By drawing on C libraries for the heavy lifting, NumPy offers faster array processing than native Python. It also stores numerical data more efficiently than Python’s built-in data structures.