exercise-joining-data.ipynb has a syntax error on the 6th section

[Wish2code]

Problem in the following block of code:

def expert_finder(topic, client):

Returns a DataFrame with the user IDs who have written Stack Overflow answers on a topic.

Inputs:
    topic: A string with the topic of interest
    client: A Client object that specifies the connection to the Stack Overflow dataset

Outputs:
    results: A DataFrame with columns for user_id and number_of_answers. Follows similar logic to bigquery_experts_results shown above.
'''
my_query = """
           SELECT a.owner_user_id AS user_id, COUNT(1) AS number_of_answers
           FROM `bigquery-public-data.stackoverflow.posts_questions` AS q
           INNER JOIN `bigquery-public-data.stackoverflow.posts_answers` AS a
               ON q.id = a.parent_Id
           WHERE q.tags like '%{topic}%'
           GROUP BY a.owner_user_id
           """
           
# Set up the query (a real service would have good error handling for 
# queries that scan too much data)
safe_config = bigquery.QueryJobConfig(maximum_bytes_billed=10**10)      
my_query_job = client.query(my_query, job_config=safe_config)

# API request - run the query, and return a pandas DataFrame
results = my_query_job.to_dataframe()

return results

Problem

my_query is not passed as a formmated string hence at WHERE q.tags like '%{topic}%' , {topic} will be taken as a string literal not as the topic argument

Expected code:

. . .
my_query = f """
SELECT a.owner_user_id AS user_id, COUNT(1) AS number_of_answers
FROM bigquery-public-data.stackoverflow.posts_questions AS q
INNER JOIN bigquery-public-data.stackoverflow.posts_answers AS a
ON q.id = a.parent_Id
WHERE q.tags like '%{topic}%'
GROUP BY a.owner_user_id
"""
. . .