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Introduction
Summary

## Instruction

Good job! As you know, the first line in a CSV file may contain a header specifying the names of the fields (columns).

If we know that there is a header line in our CSV file, we can make good use of it:

import csv
with open('departments.csv') as csv_file:
line_count = 0
if line_count == 0:
print('Columns found:', ", ".join(row))
else:
print('Department found:', ", ".join(row))
line_count += 1


We introduced a new variable named line_count. This variable is increased each time we have processed a line. If the variable equals zero, which it always does on the first iteration through the loop, it means we're processing the first line – that is, the CSV header. You can see that the script's behavior is different for the first line, where we print "Columns found:".

## Exercise

Again, load the people.csv file. This time:

1. Don't print the first (header) line at all.
2. Start each subsequent line with:
Person number {x} :
3. After the colon, insert a space and list all fields separated with commas followed by a single space. The end result should look like this:
Person number 1 : John, M, USA, 27, 85.4
Person number 2 : Kasia, F, Poland, 28, 60.5
...


### Stuck? Here's a hint!

Use a counter variable just like we used the line_count variable in the example. If line_count is zero, do nothing. Otherwise, print a new line.

You can use ", ".join(row) to conveniently print all fields separated with commas.