Excellent! It's time to wrap things up.

1. You can use the template below to load and parse a CSV file:

   import csv
   with open('file_name.csv') as csv_file:
     csv_reader = csv.reader(csv_file)
     for row in csv_reader:
       ...
   

2. When using csv.reader, use square brackets to access specific fields inside a for loop: row[0], row[1], etc.
3. When your CSV file contains a header row, you can obtain dictionaries instead of lists for the rows with csv.DictReader():

   with open('file_name.csv') as csv_file:
     csv_reader = csv.DictReader(csv_file)
     for row in csv_reader:
       ...
   

   You can also set your own field names, by using the fieldnames argument:

   csv_reader = csv.DictReader(csv_file, fieldnames=['Department Name', 'Number of Employees', 'Department Budget'])

   Inside the loop, you can access the fields using the following syntax: row['field_name'].
4. If your CSV file does not use commas as delimiters or quotation marks as quotation characters, you can change the default parsing behavior:

   csv.reader(csv_file, delimiter=';', quotechar="'")

   csv.DictReader(csv_file, delimiter=';', quotechar="'")

How about a short task to check your skills now?