The article provides a comprehensive guide on handling CSV files in Python, highlighting two primary methods: using the csv library and the pandas library. It explains the basic concept of a CSV file as a collection of comma-separated values and demonstrates how to read such files using these libraries. The csv library involves using the .reader() method, while pandas employs the .read_csv() function for reading CSV files. The article also addresses potential delimiter issues, such as when CSV files use characters other than commas, and provides solutions for both libraries by specifying the delimiter argument in the respective methods. Additionally, it briefly mentions the utility of Earthly in simplifying build processes for Python developers and suggests exploring further resources related to Python development and dependency management.