Setting random seed for reproducibility in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to set the random seed to 42 using numpy.

NumPy

import numpy as np
np.random.[1](42)

Drag options to blanks, or click blank then click option'

Arand

Brandom

Cshuffle

Dseed

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.random.rand(42) instead of np.random.seed(42).

Forgetting to import numpy as np.

The function np.random.seed() sets the random seed for reproducibility.

2fill in blank

medium

Complete the code to generate a random integer between 0 and 9 after setting the seed.

NumPy

import numpy as np
np.random.seed(123)
num = np.random.[1](10)
print(num)

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Arandint

Brandom

Crand

Dchoice

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.random.rand(10) which generates floats, not integers.

Using np.random.random(10) which is incorrect syntax.

np.random.randint(10) generates a random integer from 0 to 9.

3fill in blank

hard

Fix the error in the code to set the seed correctly before generating random numbers.

NumPy

import numpy as np
np.random.[1](7)
print(np.random.rand())

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Aseed

Brandom

Cseed_value

Dseed()

Attempts:

3 left

💡 Hint

Common Mistakes

Assigning a value to np.random.seed instead of calling it as a function.

Using np.random.seed() without an argument.

You must call np.random.seed(7) as a function, not assign a value to np.random.seed.

4fill in blank

hard

Fill both blanks to create a reproducible array of 5 random floats between 0 and 1.

NumPy

import numpy as np
np.random.[1](0)
arr = np.random.[2](5)
print(arr)

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Aseed

Brand

Crandint

Drandom

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.random.randint(5) which generates integers, not floats.

Not setting the seed before generating random numbers.

np.random.seed(0) sets the seed, np.random.rand(5) generates 5 random floats.

5fill in blank

hard

Fill all three blanks to set the seed, generate 3 random integers from 0 to 4, and print them.

NumPy

import numpy as np
np.random.[1](10)
numbers = np.random.[2](0, 5, [3])
print(numbers)

Drag options to blanks, or click blank then click option'

Aseed

Brandint

C3

Drand

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.random.rand instead of randint for integers.

Forgetting to specify the size parameter.

np.random.seed(10) sets the seed, np.random.randint(0, 5, 3) generates 3 integers from 0 to 4.