Why math functions matter in NumPy - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to calculate the square root of each number in the array.

NumPy

import numpy as np
numbers = np.array([4, 9, 16, 25])
sqrt_values = np.[1](numbers)
print(sqrt_values)

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

Asqrt

Bsquare

Clog

Dexp

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.square instead of np.sqrt, which squares the numbers instead of finding roots.

Using np.log or np.exp which calculate logarithm or exponentials, not roots.

The np.sqrt function calculates the square root of each element in the array.

2fill in blank

medium

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

NumPy

import numpy as np
values = np.array([1, 10, 100, 1000])
log_values = np.[1](values)
print(log_values)

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Aexp

Bsqrt

Cabs

Dlog

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.sqrt which calculates square roots, not logarithms.

Using np.exp which calculates exponentials, the opposite of logarithms.

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

3fill in blank

hard

Fix the error in the code to calculate the exponential of each number in the array.

NumPy

import numpy as np
values = np.array([0, 1, 2, 3])
exp_values = np.[1](values)
print(exp_values)

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Alog

Bexp

Csqrt

Dabs

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.log which calculates logarithms, not exponentials.

Using np.sqrt which calculates square roots.

The np.exp function calculates the exponential (e to the power) of each element.

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}
print(lengths)

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Alen(word)

B<=

C>

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<=' instead of '>' which would select words of length 3 or less.

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

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 letters.

NumPy

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

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Aword.upper()

Blen(word)

C>

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

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

Using '<=' instead of '>' which would select shorter words.

Using 'word' instead of 'len(word)' for values.

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