Element-wise arithmetic in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to add two numpy arrays element-wise.

NumPy

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.

Using '*' multiplies elements instead of adding.

Using '/' divides elements instead of adding.

Using the + operator between two numpy arrays adds their elements one by one.

2fill in blank

medium

Complete the code to multiply two numpy arrays element-wise.

NumPy

import numpy as np

arr1 = np.array([2, 4, 6])
arr2 = np.array([3, 5, 7])
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 elements instead of multiplying.

Using '-' subtracts elements instead of multiplying.

Using '/' divides elements instead of multiplying.

The '*' operator multiplies elements of two numpy arrays one by one.

3fill in blank

hard

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

NumPy

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 elements instead of subtracting.

Using '*' multiplies elements instead of subtracting.

Using '/' divides elements instead of subtracting.

The '-' operator subtracts elements of two numpy arrays one by one.

4fill in blank

hard

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

NumPy

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)

Bword

C>

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'word' instead of 'len(word)' for the dictionary value.

Using '<' instead of '>' in the condition.

Not using len() to get word length.

We use len(word) to get the length and '>' to filter words longer than 3 letters.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase words as keys and their lengths if length is greater than 4.

NumPy

words = ['apple', 'bat', 'carrot', 'dog']
result = [1] [2] for word in words if len(word) [3] 4
print(result)

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

A{word.upper():

Blen(word)

C>

D[word.upper() for word in words]

Attempts:

3 left

💡 Hint

Common Mistakes

Using a list comprehension instead of a dictionary comprehension.

Not converting words to uppercase for keys.

Using '<' instead of '>' in the condition.

We create keys as uppercase words, values as their lengths, and filter words longer than 4.