Array arithmetic (element-wise) in Data Analysis Python - Mini Project: Build & Apply

Array arithmetic (element-wise)

📖 Scenario: You work in a small shop that tracks daily sales of two products. You want to quickly find the total sales each day by adding the sales of both products.

🎯 Goal: Build a simple program that creates two lists of daily sales numbers, then adds them element-wise to find total daily sales.

📋 What You'll Learn

Create two lists named sales_product_a and sales_product_b with exact daily sales numbers

Create a variable named days to store the number of days

Use a for loop with index variable i to add sales element-wise

Store the element-wise sums in a list named total_sales

Print the total_sales list

💡 Why This Matters

🌍 Real World

Shops and businesses often track daily sales of multiple products. Adding sales data element-wise helps find total sales per day quickly.

💼 Career

Data analysts and scientists frequently perform element-wise operations on arrays or lists to combine or compare data from different sources.

1

Create daily sales lists

Create a list called sales_product_a with values [10, 15, 20, 25, 30] and a list called sales_product_b with values [5, 10, 15, 20, 25].

Data Analysis Python

# Create the sales lists for product A and product B
# Your code here

Need a hint?

Use square brackets [] to create lists with the exact numbers given.

2

Set the number of days

Create a variable called days and set it to the length of the sales_product_a list using the len() function.

Data Analysis Python

sales_product_a = [10, 15, 20, 25, 30]
sales_product_b = [5, 10, 15, 20, 25]
# Create a variable days with the length of sales_product_a
# Your code here

Need a hint?

Use len(sales_product_a) to find how many days of sales data there are.

3

Add sales element-wise

Create an empty list called total_sales. Use a for loop with index variable i from 0 to days - 1. Inside the loop, add sales_product_a[i] and sales_product_b[i] and append the result to total_sales.

Data Analysis Python

sales_product_a = [10, 15, 20, 25, 30]
sales_product_b = [5, 10, 15, 20, 25]
days = len(sales_product_a)
# Create total_sales list and add sales element-wise using a for loop
# Your code here

Need a hint?

Use range(days) to loop over all days and append() to add sums to the list.

4

Print the total sales

Write a print() statement to display the total_sales list.

Data Analysis Python

sales_product_a = [10, 15, 20, 25, 30]
sales_product_b = [5, 10, 15, 20, 25]
days = len(sales_product_a)
total_sales = []
for i in range(days):
    total_sales.append(sales_product_a[i] + sales_product_b[i])
# Print the total_sales list
# Your code here

Need a hint?

Use print(total_sales) to show the final list of sums.