Performance tips and vectorization in SciPy - Mini Project: Build & Apply

Performance Tips and Vectorization with SciPy

📖 Scenario: You work as a data analyst. You have a list of numbers representing daily sales. You want to calculate the square root of each sale quickly. Doing this one by one is slow. Using SciPy's vectorized functions can speed this up.

🎯 Goal: Learn how to use SciPy's vectorized functions to calculate square roots of many numbers efficiently.

📋 What You'll Learn

Create a list of daily sales numbers

Import the sqrt function from scipy.special

Use vectorized sqrt to calculate square roots of all sales

Print the resulting array of square roots

💡 Why This Matters

🌍 Real World

Calculating square roots or other math operations on many numbers quickly is common in data analysis and scientific computing.

💼 Career

Knowing how to use vectorized functions from libraries like SciPy helps you write faster and cleaner code, a valuable skill for data scientists and analysts.

1

Create the daily sales data

Create a list called daily_sales with these exact values: 100, 400, 900, 1600, 2500.

SciPy

# Create the list daily_sales with the exact values
# Your code here

Need a hint?

Use square brackets to create a list and separate numbers with commas.

2

Import the sqrt function from scipy

Write an import statement to import sqrt from scipy.special.

SciPy

daily_sales = [100, 400, 900, 1600, 2500]
# Import sqrt from scipy.special
# Your code here

Need a hint?

Use from scipy.special import sqrt to import the square root function.

3

Calculate square roots using vectorized sqrt

Use the sqrt function on daily_sales and save the result in a variable called sales_roots.

SciPy

daily_sales = [100, 400, 900, 1600, 2500]
from scipy.special import sqrt
# Calculate square roots of daily_sales using sqrt and save to sales_roots
# Your code here

Need a hint?

Call sqrt with daily_sales as argument and assign it to sales_roots.

4

Print the square roots

Print the variable sales_roots to see the square roots of the daily sales.

SciPy

daily_sales = [100, 400, 900, 1600, 2500]
from scipy.special import sqrt
sales_roots = sqrt(daily_sales)
# Print sales_roots
# Your code here

Need a hint?

Use print(sales_roots) to display the result.