Array Traversal Patterns in DSA Python - Build from Scratch

Array Traversal Patterns

📖 Scenario: You are working on a simple inventory system for a small bookstore. The store keeps a list of book titles and their prices. You want to practice going through this list to find books that meet certain price conditions.

🎯 Goal: Build a program that creates a list of book prices, sets a price limit, finds all books cheaper than or equal to that limit, and prints those prices.

📋 What You'll Learn

Create a list called book_prices with the exact values: 12.99, 7.50, 15.20, 5.99, 9.99

Create a variable called price_limit and set it to 10.00

Use a for loop with the variable price to traverse book_prices and collect prices less than or equal to price_limit into a list called affordable_books

Print the affordable_books list

💡 Why This Matters

🌍 Real World

Filtering items based on conditions is common in shopping apps, inventory systems, and data analysis.

💼 Career

Understanding how to traverse arrays and apply conditions is a fundamental skill for software developers and data analysts.

1

Create the list of book prices

Create a list called book_prices with these exact values: 12.99, 7.50, 15.20, 5.99, 9.99

DSA Python

# Create the list book_prices with the given prices
# Your code here

Hint

Use square brackets [] to create a list and separate values with commas.

2

Set the price limit

Create a variable called price_limit and set it to 10.00

DSA Python

book_prices = [12.99, 7.50, 15.20, 5.99, 9.99]
# Create the variable price_limit and set it to 10.00
# Your code here

Hint

Use the assignment operator = to set the value.

3

Find affordable books using a for loop

Use a for loop with the variable price to traverse book_prices and collect prices less than or equal to price_limit into a list called affordable_books

DSA Python

book_prices = [12.99, 7.50, 15.20, 5.99, 9.99]
price_limit = 10.00
# Create an empty list affordable_books
# Use a for loop to add prices <= price_limit to affordable_books
# Your code here

Hint

Start with an empty list. Use for price in book_prices: to go through each price. Use if price <= price_limit: to check the condition. Use append() to add to the list.

4

Print the affordable books list

Print the affordable_books list

DSA Python

book_prices = [12.99, 7.50, 15.20, 5.99, 9.99]
price_limit = 10.00
affordable_books = []
for price in book_prices:
    if price <= price_limit:
        affordable_books.append(price)
# Print the affordable_books list
# Your code here

Hint

Use print(affordable_books) to show the list.