Numpy Quiz - Learn DA-DS Course in Hindi

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Numpy Quiz

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Question 1 of 25:

1. What is the primary purpose of the NumPy library?

Data visualization

Numerical computing

Web development

Machine learning

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Question 2 of 25:

2. How do you create a NumPy array from a Python list?

np.array([1, 2, 3])

np.create([1, 2, 3])

array([1, 2, 3])

np.createArray([1, 2, 3])

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Question 3 of 25:

3. Which of the following functions creates an array of zeros?

np.empty()

np.zeroes()

np.zeros()

np.ones()

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Question 4 of 25:

4. What does the np.shape() function do?

Returns the shape of a NumPy array

Returns the size of a NumPy array

Reshapes a NumPy array

Returns the dtype of a NumPy array

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Question 5 of 25:

5. What will be the result of np.array([1, 2, 3]) + np.array([4, 5, 6])?

[4, 5, 6]

[1, 2, 3]

[5, 7, 9]

[9, 12, 15]

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Question 6 of 25:

6. How do you generate a random number between 0 and 1 in NumPy?

np.random.rand()

np.random.randint()

np.random.number()

np.random.random()

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Question 7 of 25:

7. Which of the following is used to create an identity matrix in NumPy?

np.zeros()

np.eye()

np.ones()

np.identity()

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Question 8 of 25:

8. Which method is used to get the number of dimensions of a NumPy array?

np.shape()

np.size()

np.ndim()

np.dims()

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Question 9 of 25:

9. What is the default data type of a NumPy array?

float64

float32

int32

int64

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Question 10 of 25:

10. Which of the following functions is used to concatenate two NumPy arrays along the first axis?

np.hstack()

np.concatenate()

np.vstack()

np.append()

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Question 11 of 25:

11. What does the np.reshape() function do?

Flattens the array

Reshapes the array in a sorted manner

Changes the dtype of the array

Changes the dimensions of the array

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Question 12 of 25:

12. Which of the following is a valid NumPy array?

(1, 2, 3)

np.array([1, 2, 3])

np.array(1, 2, 3)

[1, 2, 3]

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Question 13 of 25:

13. What is the function used to create an array of ones?

np.ones()

np.array(1)

np.full()

np.zeroes()

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Question 14 of 25:

14. How can you find the sum of all elements in a NumPy array?

np.add()

np.total()

np.sum()

np.total_sum()

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Question 15 of 25:

15. What does np.linspace(0, 10, 5) return?

10 numbers evenly spaced between 0 and 5

5 random numbers between 0 and 10

10 numbers evenly spaced between 0 and 5

5 numbers evenly spaced between 0 and 10

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Question 16 of 25:

16. What does the np.arange() function do?

Generates a range of numbers in a NumPy array

Creates an array with random values

Generates a list of numbers

Creates an array of zeros

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Question 17 of 25:

17. Which of the following is the correct syntax to get the transpose of a NumPy array?

array.transpose()

np.transpose(array)

array.T

All of the above

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Question 18 of 25:

18. What will np.array([1, 2, 3]) * 2 output?

[2, 4, 6]

[3, 4, 5]

[1, 2, 3, 2]

[2, 4, 6, 2]

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Question 19 of 25:

19. Which of the following methods can be used to stack arrays horizontally?

np.hstack()

np.vstack()

np.column_stack()

Both A and C

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Question 20 of 25:

20. What is the result of np.array([1, 2, 3]) + 5?

[6]

[6, 7, 8]

[1, 2, 3, 5]

Both A and C

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Question 21 of 25:

21. What function in NumPy allows you to get the minimum value of an array?

np.minimum()

np.minimum_value()

np.min()

np.low()

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Question 22 of 25:

22. How can you create an array of random integers between 0 and 10 with 5 elements?

np.random.random(5)

np.random.rand(5)

np.random.randint(0, 10, 5)

np.random.random_integer(10, 5)

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Question 23 of 25:

23. How would you select all elements of a 2D NumPy array in the second column?

array[1]

array[:, 1]

array[1, :]

array[1:]

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Question 24 of 25:

24. How do you compute the dot product of two arrays a and b?

np.mul(a, b)

np.prod(a, b)

np.cross(a, b)

np.dot(a, b)

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Question 25 of 25:

25. How can you get the unique elements of a NumPy array?

np.unique()

np.unique_elements()

np.unique_array()

np.distinct()

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