Reading a CSV file in Python is straightforward using the csv module. Here’s a step-by-step guide on how to read and process a CSV file:

1. Import the csv Module:
   • Start by importing the csv module, which provides functionality to read and write CSV files.
2. Open the CSV File:
   • Use the with statement to open the file in read mode. This ensures that the file is properly closed after reading.
3. Use csv.reader() to Read the File:
   • The csv.reader() function reads the file and returns a reader object that iterates over lines in the CSV file.
4. Process the Data:
   • Iterate over the reader object to access each row of the CSV file.
5. Example Code:
   
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   import csv
   
   with open('example.csv', 'r') as file:
       reader = csv.reader(file)
       for row in reader:
           print(row)
   

6. Customizing the Output:
   • If you want to access specific columns or process the data further, you can index the row list or use other Python data structures like lists or dictionaries.

Explanation:

• csv.reader(): This function reads the CSV file and returns each row as a list of strings.
• File Handling: Using the with statement ensures that the file is properly closed after reading, which prevents resource leaks.

By following these steps, you can efficiently read and process CSV files in Python.