Vectorization over loops in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a NumPy array from the list.

NumPy

import numpy as np
numbers = [1, 2, 3, 4, 5]
arr = np.[1](numbers)

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

Aarray

Brange

Cmatrix

Dlist

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'list' instead of 'array' which is not a NumPy function.

Using 'matrix' which is a different NumPy type.

Using 'range' which creates a range object, not an array.

Use np.array() to convert a list into a NumPy array.

2fill in blank

medium

Complete the code to add 5 to every element in the array using vectorization.

NumPy

import numpy as np
arr = np.array([1, 2, 3, 4, 5])
result = arr [1] 5

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A+

B*

C-

D/

Attempts:

3 left

💡 Hint

Common Mistakes

Using '*' which multiplies instead of adds.

Using '-' which subtracts instead of adds.

Using '/' which divides instead of adds.

Adding 5 to every element is done with the + operator in vectorized form.

3fill in blank

hard

Fix the error in the code to multiply each element by 2 using vectorization.

NumPy

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

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Adot

Bmul

Cmultiply

D*

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'multiply' or 'mul' as methods which do not exist on arrays.

Using 'dot' which performs matrix multiplication, not element-wise.

Use the * operator for element-wise multiplication in NumPy arrays.

4fill in blank

hard

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

NumPy

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

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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 '<=' which selects words with length 3 or less.

Use len(word) to get the length and filter words with length greater than 3 using >.

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 letters.

NumPy

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

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Aword.upper()

Blen(word)

C>

Dword.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using lowercase words as keys instead of uppercase.

Using '<=' which includes short words.

Using the word itself as value instead of length.

Use word.upper() for keys, len(word) for values, and filter words with length greater than 3 using >.