Code Explanation:
1. Importing Modules
import csv
from io import StringIO
import csv: Imports Python’s built-in csv module, which provides tools to read from and write to CSV (Comma-Separated Values) files.
from io import StringIO: Imports StringIO from the io module. StringIO lets you treat a string as a file-like object (like a file in memory). Useful for simulating a file without actually creating one.
2. Defining the get_ages Function
def get_ages():
This defines a function named get_ages. It will return a generator that yields the ages (as integers) from the CSV data.
3. Simulating a CSV File with StringIO
data = StringIO("name,age\nAnn,22\nBen,30")
StringIO("name,age\nAnn,22\nBen,30") creates an in-memory file-like object containing this CSV content:
name,age
Ann,22
Ben,30
This simulates a CSV file with two rows of data after the header.
4. Reading the CSV Data
reader = csv.DictReader(data)
csv.DictReader(data) reads the CSV content.
It parses each row as a dictionary using the header row (name, age) as the keys.
First row: {'name': 'Ann', 'age': '22'}
Second row: {'name': 'Ben', 'age': '30'}
5. Returning a Generator of Ages
return (int(row['age']) for row in reader)
This line creates and returns a generator expression that:
Iterates over each row in the reader.
Extracts the 'age' value from each row.
Converts it from a string to an integer using int().
So, it will generate: 22, then 30.
6. Using the Generator in sum()
print(sum(get_ages()))
get_ages() returns the generator.
sum(...) adds up all the numbers yielded by the generator.
print(...) outputs the result.
So, it prints: 22 + 30 = 52
Final Output
52
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