Parsing API responses in No-Code - Mini Project: Build & Apply

Parsing API responses

📖 Scenario: You are working with data from a weather API that gives information about the temperature and conditions in different cities. You want to understand how to read and organize this information.

🎯 Goal: Learn how to identify key parts of an API response and organize the data into a simple structure for easy use.

📋 What You'll Learn

Create a data structure to hold API response data

Add a variable to select a specific city

Extract temperature and condition for the selected city

Complete the structure with a summary of the weather

💡 Why This Matters

🌍 Real World

Understanding how to parse and organize API responses is essential for working with live data from web services like weather, finance, or social media.

💼 Career

Many jobs in data analysis, software development, and IT require skills to handle API data effectively for building applications or reports.

1

Create the API response data structure

Create a dictionary called api_response with these exact entries: 'New York': {'temp': 22, 'condition': 'Sunny'}, 'London': {'temp': 16, 'condition': 'Cloudy'}, and 'Tokyo': {'temp': 27, 'condition': 'Rainy'}.

No-Code

# Create the api_response dictionary with city weather data
# Your code here

Need a hint?

Use a dictionary with city names as keys and another dictionary for temperature and condition as values.

2

Select a city to get weather data

Create a variable called selected_city and set it to the string 'London'.

No-Code

api_response = {
    'New York': {'temp': 22, 'condition': 'Sunny'},
    'London': {'temp': 16, 'condition': 'Cloudy'},
    'Tokyo': {'temp': 27, 'condition': 'Rainy'}
}
# Set selected_city to 'London'
# Your code here

Need a hint?

Assign the string 'London' to the variable selected_city.

3

Extract temperature and condition for the selected city

Create variables temperature and condition by accessing the api_response dictionary using selected_city. Assign temperature to the city's 'temp' value and condition to the city's 'condition' value.

No-Code

api_response = {
    'New York': {'temp': 22, 'condition': 'Sunny'},
    'London': {'temp': 16, 'condition': 'Cloudy'},
    'Tokyo': {'temp': 27, 'condition': 'Rainy'}
}
selected_city = 'London'
# Extract temperature and condition for selected_city
# Your code here

Need a hint?

Use the selected_city variable to get the nested dictionary, then get 'temp' and 'condition' values.

4

Create a summary of the weather

Create a variable called summary that combines selected_city, temperature, and condition into a sentence like: 'The weather in London is 16°C and Cloudy.' Use an f-string for this.

No-Code

api_response = {
    'New York': {'temp': 22, 'condition': 'Sunny'},
    'London': {'temp': 16, 'condition': 'Cloudy'},
    'Tokyo': {'temp': 27, 'condition': 'Rainy'}
}
selected_city = 'London'
temperature = api_response[selected_city]['temp']
condition = api_response[selected_city]['condition']
# Create a summary string using an f-string
# Your code here

Need a hint?

Use an f-string to combine the variables into a readable sentence.