Scalar operations on arrays in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to multiply each element in the array by 3.

NumPy

import numpy as np
arr = np.array([1, 2, 3, 4])
result = arr [1] 3
print(result)

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

A-

B+

C*

D/

Attempts:

3 left

💡 Hint

Common Mistakes

Using + instead of * will add 3 to each element, not multiply.

Using / will divide each element by 3, which is not what we want.

Using the * operator multiplies each element of the array by the scalar value.

2fill in blank

medium

Complete the code to subtract 5 from each element in the array.

NumPy

import numpy as np
arr = np.array([10, 15, 20, 25])
result = arr [1] 5
print(result)

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

A*

B/

C+

D-

Attempts:

3 left

💡 Hint

Common Mistakes

Using + will add 5 instead of subtracting.

Using * will multiply each element by 5, which is incorrect here.

The - operator subtracts the scalar from each element in the array.

3fill in blank

hard

Fix the error in the code to divide each element by 2 correctly.

NumPy

import numpy as np
arr = np.array([8, 16, 24, 32])
result = arr [1] 2
print(result)

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

A*

B/

C+

D-

Attempts:

3 left

💡 Hint

Common Mistakes

Using * will multiply instead of dividing.

Using + or - will not perform division.

The / operator divides each element of the array by the scalar.

4fill in blank

hard

Fill both blanks to create a dictionary with words as keys and their lengths squared if length is greater than 3.

NumPy

words = ['data', 'science', 'ai', 'ml']
lengths = {word: len(word)[1] 2 for word in words if len(word) [2] 3}
print(lengths)

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

A**

B%

C>

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using < instead of > will filter wrong words.

Using % instead of ** will cause wrong calculations.

The ** operator squares the length, and > checks if length is greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase words as keys and their lengths if length is less than 5.

NumPy

words = ['data', 'science', 'ai', 'ml']
result = {word[1]: [2] for word in words if len(word) [3] 5}
print(result)

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

A.upper()

Blen(word)

C<

D>

Attempts:

3 left

💡 Hint

Common Mistakes

Using > instead of < will filter wrong words.

Forgetting to convert words to uppercase.

.upper() converts words to uppercase keys, len(word) gets length, and < filters words shorter than 5.