Best, average, and worst case analysis in Data Structures Theory - Mini Project: Build & Apply

Best, Average, and Worst Case Analysis

📖 Scenario: Imagine you are a librarian organizing books on shelves. You want to understand how long it takes to find a book depending on different situations.

🎯 Goal: Build a simple example that shows the best, average, and worst case times to find a book in a list of books.

📋 What You'll Learn

Create a list of books with exact titles

Set a variable for the book to find

Write logic to check the position of the book in the list

Add comments explaining best, average, and worst case scenarios

💡 Why This Matters

🌍 Real World

Understanding best, average, and worst case helps in planning how long tasks like searching or sorting will take in real life.

💼 Career

This knowledge is important for software developers and data analysts to write efficient programs and explain performance.

1

Create the list of books

Create a list called books with these exact titles: 'Python Basics', 'Data Science', 'Machine Learning', 'Deep Learning', and 'Artificial Intelligence'.

Data Structures Theory

# Create the list of books
# Your code here

Need a hint?

Use square brackets [] to create a list and separate each book title with commas.

2

Set the book to find

Create a variable called target_book and set it to the string 'Machine Learning'.

Data Structures Theory

books = ['Python Basics', 'Data Science', 'Machine Learning', 'Deep Learning', 'Artificial Intelligence']
# Set the target book to find
# Your code here

Need a hint?

Use an equals sign = to assign the string to the variable.

3

Find the position of the target book

Use a for loop with variables index and book to iterate over enumerate(books). Inside the loop, check if book == target_book and if so, assign index to a variable called found_index and break the loop.

Data Structures Theory

books = ['Python Basics', 'Data Science', 'Machine Learning', 'Deep Learning', 'Artificial Intelligence']
target_book = 'Machine Learning'
# Find the index of the target book
# Your code here

Need a hint?

Use enumerate() to get both the position and the book title in the loop.

4

Explain best, average, and worst case

Add three comments explaining:
1. The best case is when the target book is the first in the list (index 0).
2. The average case is when the target book is in the middle of the list.
3. The worst case is when the target book is the last in the list or not found.

Data Structures Theory

books = ['Python Basics', 'Data Science', 'Machine Learning', 'Deep Learning', 'Artificial Intelligence']
target_book = 'Machine Learning'
for index, book in enumerate(books):
    if book == target_book:
        found_index = index
        break
# Add comments explaining best, average, and worst case scenarios
# Your code here

Need a hint?

Write clear comments starting with # describing each case.