Extract & Format City Facts from a Dictionary

1. The Challenge: Extracting Facts

Create a function city_facts(city) that receives a dictionary containing name, population, and continent keys, and returns a formatted sentence string like: "Paris has a population of 2,140,526 and is situated in Europe".

2. Why It Matters

Extracting object attributes and formatting summary strings is a daily task when building API backends, summary reports, and UI cards.

3. The Python Solution

Extract key values and format using f-strings:

def city_facts(city):
    name = city["name"]
    population = city["population"]
    continent = city["continent"]
    return f"{name} has a population of {population} and is situated in {continent}"

# Testing our function
print(city_facts({
  "name": "Paris",
  "population": "2,140,526",
  "continent": "Europe"
}))
# Output: "Paris has a population of 2,140,526 and is situated in Europe"

print(city_facts({
  "name": "Tokyo",
  "population": "13,929,286",
  "continent": "Asia"
}))
# Output: "Tokyo has a population of 13,929,286 and is situated in Asia"

4. Inline Dictionary Access in f-Strings

You can also read dictionary keys directly inside f-string brackets:

def city_facts_inline(city):
    return f"{city['name']} has a population of {city['population']} and is situated in {city['continent']}"

5. Common Mistakes

• Quote Mismatch Inside f-Strings: If your outer f-string uses double quotes (f"..."), use single quotes for internal dictionary keys (city['name']). Mixing double quotes inside double quotes causes syntax errors!

6. Next Steps

Use clean f-strings for dictionary summary formatting. Next, let's finish our Python practice track with Nested List Verification!