Array arithmetic (element-wise) in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to add two arrays element-wise.

Data Analysis Python

import numpy as np

arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
result = arr1 [1] arr2
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 '+' causes subtraction, not addition.

Using '*' multiplies element-wise, not adds.

Using the + operator adds two arrays element-wise in NumPy.

2fill in blank

medium

Complete the code to multiply two arrays element-wise.

Data Analysis Python

import numpy as np

arr1 = np.array([2, 4, 6])
arr2 = np.array([1, 3, 5])
result = arr1 [1] arr2
print(result)

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

A+

B//

C*

D-

Attempts:

3 left

💡 Hint

Common Mistakes

Using '+' adds arrays instead of multiplying.

Using '//' performs integer division, not multiplication.

The * operator multiplies arrays element-wise in NumPy.

3fill in blank

hard

Fix the error in the code to subtract two arrays element-wise.

Data Analysis Python

import numpy as np

arr1 = np.array([10, 20, 30])
arr2 = np.array([1, 2, 3])
result = arr1 [1] arr2
print(result)

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

A+

B-

C*

D/

Attempts:

3 left

💡 Hint

Common Mistakes

Using '+' adds arrays instead of subtracting.

Using '*' multiplies arrays instead of subtracting.

The - operator subtracts arrays element-wise in NumPy.

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 characters.

Data Analysis Python

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

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

Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' filters words shorter than 3 characters.

Using 'word' instead of 'len(word)' gives the word itself, not its length.

The dictionary comprehension uses len(word) to get the length and filters 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 characters.

Data Analysis Python

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

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

Aword.upper()

Blen(word)

C>

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'word' instead of 'word.upper()' for keys.

Using '<' instead of '>' for filtering.

The dictionary comprehension uses word.upper() as keys, len(word) as values, and filters words longer than 3 with >.