ExamAdept

Which of the following statements about NumPy arrays in Python is true?

A:

NumPy arrays are only one-dimensional.

B:

NumPy arrays can only store integer values.

C:

NumPy arrays are less efficient than Python lists.

D:

NumPy arrays support element-wise operations.

Answer: D

NumPy arrays in Python support element-wise operations, making them efficient for mathematical computations.

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How do you access the element at index 2 in a one-dimensional array named arr?

A:

arr.get(2)

B:

arr[2]

C:

arr.element(2)

D:

arr.at(2)

Answer: B

In Python arrays, elements can be accessed using square brackets and the index, like arr[index].

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What does the array.append(element) method do?

A:

Appends a new array to the existing array.

B:

Adds an element to the end of the array.

C:

Removes the last element from the array.

D:

Raises an IndexError.

Answer: B

The append() method in the array module adds an element to the end of the array.

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What is the primary difference between a list and an array?

A:

Lists can only store integers, while arrays can store any data type.

B:

Arrays have a fixed size, while lists can dynamically grow or shrink.

C:

Lists are one-dimensional, while arrays can be multi-dimensional.

D:

Arrays are not iterable, while lists can be iterated over.

Answer: C

Arrays in Python can be multi-dimensional, allowing for the storage of data in multiple dimensions, while lists are one-dimensional.

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How do you create an array in Python using the array module?

A:

arr = array.create([1, 2, 3])

B:

arr = array([1, 2, 3])

C:

arr = array.array([1, 2, 3])

D:

arr = create.array([1, 2, 3])

Answer: C

The array module provides the array() function to create arrays in Python.

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Questions for: Arrays