To create sequences of numbers, NumPy provides a function . . . . . . . . analogous to range that returns arrays instead of lists.

The correct answer is A. arange.

NumPy provides a function called arange which is analogous to range in Python. It returns an array of numbers, instead of a list. The syntax for arange is as follows:

numpy.arange(start, stop, step)

where:

• start is the starting value of the sequence.
• stop is the ending value of the sequence.
• step is the increment value of the sequence.

For example, the following code will create an array of numbers from 0 to 10, with a step size of 1:

“`

import numpy as np
np.arange(0, 10, 1)
array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
“`

The arange function can also be used to create sequences of numbers with a step size that is not a positive integer. For example, the following code will create an array of numbers from 0 to 10, with a step size of 0.5:

“`

np.arange(0, 10, 0.5)
array([ 0. , 0.5, 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. , 4.5, 5. , 5.5, 6. , 6.5, 7. , 7.5, 8. , 8.5, 9. , 9.5])
“`

The arange function is a very versatile tool that can be used to create a variety of sequences of numbers. It is one of the most commonly used functions in NumPy.

The other options, aspace and aline, are not functions in NumPy.