np.sqrt() for square roots in NumPy - Mini Project: Build & Apply

Calculate Square Roots Using np.sqrt()

📖 Scenario: You work in a bakery that wants to analyze the sizes of square cake pans. You have a list of areas of square pans, and you want to find the length of one side of each pan.

🎯 Goal: Use np.sqrt() to calculate the side lengths from the given areas.

📋 What You'll Learn

Create a numpy array called areas with the exact values: 16, 25, 36, 49, 64

Create a variable called side_lengths that stores the square roots of the areas array using np.sqrt()

Print the side_lengths array

💡 Why This Matters

🌍 Real World

Calculating square roots is useful in many fields like baking, construction, and science when you need to find side lengths from areas.

💼 Career

Data scientists often use numpy functions like <code>np.sqrt()</code> to quickly perform mathematical operations on data arrays.

1

Create the numpy array of areas

Import numpy as np and create a numpy array called areas with these exact values: 16, 25, 36, 49, 64

NumPy

import numpy as np
# Create the numpy array called areas with values 16, 25, 36, 49, 64
# Your code here

Need a hint?

Use np.array() to create the array with the given numbers.

2

Prepare to calculate square roots

Create a variable called side_lengths and set it to None for now as a placeholder

NumPy

import numpy as np
areas = np.array([16, 25, 36, 49, 64])
side_lengths = None  # Your code here

Need a hint?

This step sets up the variable before calculation.

3

Calculate the square roots using np.sqrt()

Use np.sqrt() on the areas array and assign the result to the variable side_lengths

NumPy

import numpy as np
areas = np.array([16, 25, 36, 49, 64])
side_lengths = None
# Calculate square roots of areas using np.sqrt() and assign to side_lengths
# Your code here

Need a hint?

Call np.sqrt() with areas inside the parentheses.

4

Print the side lengths

Print the variable side_lengths to display the side lengths of the square pans

NumPy

import numpy as np
areas = np.array([16, 25, 36, 49, 64])
side_lengths = np.sqrt(areas)
# Print the side_lengths array
# Your code here

Need a hint?

Use print(side_lengths) to show the results.