Learn how to read and parse CSV files in Python step-by-step.
In this tutorial, we build a Python function that reads spreadsheet data from a CSV file, converts it into structured data, and applies business logic such as calculating totals and profit.
CSV files are one of the most common data formats used in real software systems. They are frequently exported from spreadsheets and used in analytics, automation, and data pipelines.
In this lesson you will learn how to:
• Open and read CSV files in Python
• Use the with open() context manager safely
• Handle file errors and data parsing exceptions
• Convert strings to integers for calculations
• Store data as Python dictionaries and lists
• Extract values from structured data
• Use generator expressions to compute totals
• Apply business logic such as calculating profit
This tutorial is part of the 100% free course:
Industry Projects with Python
https://industry-python.thinkific.com/products/courses/industry-projects-with-python
The course focuses on building real software projects, including:
• Data processing pipelines
• Python applications with modern tooling
• Charting and visualization using Flet
• Working with real datasets
• Structuring Python projects like professional developers
In the next tutorial, we will take this parsed CSV data and visualize it using Python charts with Flet.
If you're learning Python and want to move beyond simple exercises into real industry-style projects, this course is designed for you.
