np.power() and np.square() in NumPy - Mini Project: Build & Apply

Using np.power() and np.square() with NumPy Arrays

📖 Scenario: Imagine you have a list of numbers representing the lengths of sides of squares. You want to calculate the area of each square by squaring these lengths. You will use NumPy's np.power() and np.square() functions to do this easily.

🎯 Goal: Learn how to use np.power() and np.square() to calculate the squares of numbers in a NumPy array and compare the results.

📋 What You'll Learn

Create a NumPy array with specific side lengths

Create a variable for the power value

Use np.power() to square the array elements

Use np.square() to square the array elements

Print both results to compare

💡 Why This Matters

🌍 Real World

Calculating areas of squares or powers of numbers is common in science, engineering, and data analysis.

💼 Career

Understanding how to use NumPy's power functions helps in data manipulation and mathematical computations in data science roles.

1

Create a NumPy array of side lengths

Import NumPy as np and create a NumPy array called sides with these exact values: 2, 3, 4, 5.

NumPy

import numpy as np
# Create a NumPy array called sides with values 2, 3, 4, 5
# Your code here

Need a hint?

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

2

Create a variable for the power value

Create a variable called power_value and set it to 2 to represent squaring.

NumPy

import numpy as np
sides = np.array([2, 3, 4, 5])
# Create a variable power_value and set it to 2
# Your code here

Need a hint?

Just assign the number 2 to the variable power_value.

3

Calculate squares using np.power() and np.square()

Use np.power() with sides and power_value to create areas_power. Then use np.square() with sides to create areas_square.

NumPy

import numpy as np
sides = np.array([2, 3, 4, 5])
power_value = 2
# Calculate areas_power using np.power(sides, power_value)
# Calculate areas_square using np.square(sides)
# Your code here

Need a hint?

Use np.power(array, exponent) and np.square(array) to get the squared values.

4

Print the squared areas

Print areas_power and areas_square on separate lines to see the results.

NumPy

import numpy as np
sides = np.array([2, 3, 4, 5])
power_value = 2
areas_power = np.power(sides, power_value)
areas_square = np.square(sides)
# Print areas_power
# Print areas_square
# Your code here

Need a hint?

Use two print() statements, one for each variable.