Integer random with integers() in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to generate a random integer between 1 and 10 using numpy.

NumPy

import numpy as np
random_number = np.random.[1](1, 11)
print(random_number)

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Aintegers

Brandint

Crandom

Dchoice

Attempts:

3 left

💡 Hint

Common Mistakes

Using randint instead of integers, which is older numpy syntax.

Forgetting that the upper bound is exclusive.

The integers function from np.random generates random integers in a specified range. Here, it generates an integer from 1 (inclusive) to 11 (exclusive), so between 1 and 10.

2fill in blank

medium

Complete the code to generate 5 random integers between 0 and 20 using numpy.

NumPy

import numpy as np
random_numbers = np.random.[1](0, 20, size=5)
print(random_numbers)

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Arandint

Bchoice

Crandom

Dintegers

Attempts:

3 left

💡 Hint

Common Mistakes

Using randint without size parameter which may cause errors.

Confusing the upper bound as inclusive.

The integers function can generate multiple random integers by specifying the size parameter. Here, it generates 5 integers from 0 (inclusive) to 20 (exclusive).

3fill in blank

hard

Fix the error in the code to generate a random integer between 5 and 15 using numpy integers().

NumPy

import numpy as np
random_num = np.random.integers([1], 15)
print(random_num)

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A5, 15

B5

C5, 16

D5, 14

Attempts:

3 left

💡 Hint

Common Mistakes

Putting multiple values in one blank.

Confusing inclusive and exclusive bounds.

The integers function requires the first argument as the low (inclusive) and the second as high (exclusive). Here, 15 is the exclusive upper bound, so the low should be 5.

4fill in blank

hard

Fill both blanks to create a dictionary with words as keys and their lengths as values, only for words longer than 3 characters.

NumPy

words = ['apple', 'bat', 'carrot', 'dog']
lengths = {word: [1] for word in words if len(word) [2] 3}
print(lengths)

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Alen(word)

Bword

C>

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as the value instead of its length.

Using the wrong comparison operator.

The dictionary comprehension uses len(word) to get the length of each word. The condition len(word) > 3 filters words longer than 3 characters.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase words as keys and their lengths as values, only for words longer than 3 characters.

NumPy

words = ['apple', 'bat', 'carrot', 'dog']
lengths = { [1]: [2] for word in words if len(word) [3] 3}
print(lengths)

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Aword.upper()

Blen(word)

C>

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as key instead of uppercase.

Using wrong comparison operator.

Mixing up keys and values.

The dictionary keys are uppercase words using word.upper(). The values are the lengths using len(word). The condition filters words longer than 3 characters with >.