Why dictionary comprehension is used in Python - See It in Action

Why dictionary comprehension is used

📖 Scenario: Imagine you have a list of fruits with their prices, and you want to create a new dictionary that only includes fruits costing less than $2. Instead of writing many lines of code, dictionary comprehension helps you do this quickly and clearly.

🎯 Goal: Build a small program that uses dictionary comprehension to filter fruits by price, showing how dictionary comprehension makes the code simple and easy to read.

📋 What You'll Learn

Create a dictionary called fruits with exact entries: 'apple': 1.5, 'banana': 0.8, 'cherry': 2.5, 'date': 3.0, 'elderberry': 1.2

Create a variable called max_price and set it to 2

Use dictionary comprehension with fruit and price to create a new dictionary called affordable_fruits that includes only fruits with price less than max_price

Print the affordable_fruits dictionary

💡 Why This Matters

🌍 Real World

Filtering and transforming data quickly is common in real-world programs, like showing only affordable products in a store.

💼 Career

Knowing dictionary comprehension helps you write clean, efficient code, a skill valued in many programming jobs.

1

Create the initial dictionary of fruits and prices

Create a dictionary called fruits with these exact entries: 'apple': 1.5, 'banana': 0.8, 'cherry': 2.5, 'date': 3.0, 'elderberry': 1.2

Python

# Create the fruits dictionary with given entries
# Your code here

Need a hint?

Use curly braces {} to create the dictionary and separate each fruit-price pair with commas.

2

Set the maximum price to filter fruits

Create a variable called max_price and set it to 2

Python

fruits = {'apple': 1.5, 'banana': 0.8, 'cherry': 2.5, 'date': 3.0, 'elderberry': 1.2}
# Create max_price variable and set it to 2
# Your code here

Need a hint?

Just write max_price = 2 on a new line.

3

Use dictionary comprehension to filter affordable fruits

Use dictionary comprehension with variables fruit and price to create a new dictionary called affordable_fruits that includes only fruits with price less than max_price

Python

fruits = {'apple': 1.5, 'banana': 0.8, 'cherry': 2.5, 'date': 3.0, 'elderberry': 1.2}
max_price = 2
# Create affordable_fruits using dictionary comprehension
# Your code here

Need a hint?

Use the format {key: value for key, value in dictionary.items() if condition} to filter.

4

Print the filtered dictionary

Write print(affordable_fruits) to display the dictionary of fruits with price less than max_price

Python

fruits = {'apple': 1.5, 'banana': 0.8, 'cherry': 2.5, 'date': 3.0, 'elderberry': 1.2}
max_price = 2
affordable_fruits = {fruit: price for fruit, price in fruits.items() if price < max_price}
# Print affordable_fruits
# Your code here

Need a hint?

Use print(affordable_fruits) to show the result.