Memory-efficient operations in Data Analysis Python - Mini Project: Build & Apply

Memory-efficient Operations in Data Analysis

📖 Scenario: You work as a data analyst for a small company. You have a list of daily sales numbers for a month. You want to calculate the total sales but want to do it in a way that uses less memory.

🎯 Goal: Build a small program that sums daily sales using a memory-efficient method.

📋 What You'll Learn

Create a list of daily sales numbers

Create a variable to hold the total sales

Use a memory-efficient loop to sum the sales

Print the total sales

💡 Why This Matters

🌍 Real World

Summing daily sales is a common task in business to understand total revenue.

💼 Career

Data analysts often need to process large lists of numbers efficiently to save memory and speed up calculations.

1

Create the daily sales list

Create a list called daily_sales with these exact values: 120, 150, 100, 130, 160, 170, 180.

Data Analysis Python

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

Hint

Use square brackets and separate numbers with commas.

2

Create a total sales variable

Create a variable called total_sales and set it to 0 to hold the sum of sales.

Data Analysis Python

daily_sales = [120, 150, 100, 130, 160, 170, 180]
# Create total_sales variable and set it to 0
# Your code here

Hint

Use an equals sign to assign 0 to total_sales.

3

Sum sales using a memory-efficient loop

Use a for loop with the variable sale to iterate over daily_sales and add each sale to total_sales.

Data Analysis Python

daily_sales = [120, 150, 100, 130, 160, 170, 180]
total_sales = 0
# Use a for loop to add each sale to total_sales
# Your code here

Hint

Use for sale in daily_sales: and inside the loop add sale to total_sales.

4

Print the total sales

Write a print statement to display the value of total_sales.

Data Analysis Python

daily_sales = [120, 150, 100, 130, 160, 170, 180]
total_sales = 0
for sale in daily_sales:
    total_sales += sale
# Print the total_sales value
# Your code here

Hint

Use print(total_sales) to show the sum.