np.exp() and np.log() in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to calculate the exponential of each element in the array.

NumPy

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

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

Aexp

Blog

Csqrt

Dsin

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.log() instead of np.exp()

Using math.exp() which does not work element-wise on arrays

The np.exp() function calculates the exponential (e^x) of each element in the array.

2fill in blank

medium

Complete the code to calculate the natural logarithm of each element in the array.

NumPy

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

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

Aexp

Blog10

Csqrt

Dlog

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.exp() instead of np.log()

Using np.log10() which calculates log base 10

The np.log() function calculates the natural logarithm (log base e) of each element in the array.

3fill in blank

hard

Fix the error in the code to correctly compute the exponential of the array elements.

NumPy

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

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

Aexp

Bsqrt

Carray

Dlog

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.log() which calculates logarithm

Trying to call np.array() as a function on the list

The input arr is a list, but np.exp() can handle lists by converting them internally. The function to compute exponential is exp.

4fill in blank

hard

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

NumPy

words = ['data', 'is', 'fun', 'and', 'easy']
lengths = {word: [1] for word in words if [2]
print(lengths)

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

Alen(word)

Bword > 3

Clen(word) > 3

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself instead of its length

Comparing the word string directly to a number

The dictionary comprehension uses len(word) to get the length, and the condition len(word) > 3 to filter words longer than 3 characters.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase words as keys and their logarithm values as values, but only include words with length greater than 2.

NumPy

import numpy as np
words = ['hi', 'log', 'data', 'np']
result = { [1]: np.[2](len(word)) for word in words if len(word) [3] 2 }
print(result)

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

Aword.upper()

Blog

C>

Dexp

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.exp instead of np.log

Not converting words to uppercase

Using wrong comparison operator

The dictionary keys are uppercase words using word.upper(). The values are the natural logarithm of the word length using np.log. The filter keeps words with length greater than 2.