np.sqrt() for square roots in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to calculate the square root of 16 using numpy.

NumPy

import numpy as np
result = np.[1](16)
print(result)

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

Apower

Bsquare

Croot

Dsqrt

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.square() which squares the number instead of finding the root.

Using np.power() without the correct exponent.

The function np.sqrt() calculates the square root of a number.

2fill in blank

medium

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

NumPy

import numpy as np
arr = np.array([4, 9, 25])
roots = np.[1](arr)
print(roots)

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

Asqrt

Broot

Csquare

Dpower

Attempts:

3 left

💡 Hint

Common Mistakes

Trying to use np.square() which squares elements instead.

Using a non-existent function like np.root().

np.sqrt() works element-wise on numpy arrays to find square roots.

3fill in blank

hard

Fix the error in the code to correctly compute the square root of 49.

NumPy

import numpy as np
value = 49
result = np.[1](value)
print(result)

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

Asquare

Bsqrt

Croot

Dpow

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.square() which squares the number instead of finding the root.

Using np.pow() without the correct exponent.

The correct function to compute square root is np.sqrt().

4fill in blank

hard

Fill both blanks to create a dictionary with numbers as keys and their square roots as values.

NumPy

import numpy as np
numbers = [1, 4, 9, 16]
sqrt_dict = { [1]: np.[2](num) for num in numbers }
print(sqrt_dict)

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

Anum

Bsqrt

Cnumber

Dsquare

Attempts:

3 left

💡 Hint

Common Mistakes

Using a wrong variable name for the key.

Using np.square() instead of np.sqrt().

Use num as the key and np.sqrt() to get the square root values.

5fill in blank

hard

Fill all three blanks to create a list of square roots for numbers greater than 10.

NumPy

import numpy as np
nums = [4, 16, 25, 9, 36]
sqrt_list = [np.[1](n) for n in nums if n [2] [3]]
print(sqrt_list)

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

Asquare

B>

C10

Dsqrt

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.square() instead of np.sqrt().

Using wrong comparison operators like '<' or '==' instead of '>'.

Using a wrong number for filtering.

Use np.sqrt() to get square roots, and filter numbers greater than 10 with n > 10.