Contrasting Data Frames and SQL Databases

This chapter explores the disparities between data scientists and database experts, focusing on the contrasting methodologies in EDA and preparing machine learning models in comparison to distributed data systems and transactions. It discusses the reasons behind the slower performance of pandas data frames compared to SQL relational database systems, drawing parallels between the interactive nature of pandas and the structured experience of SQL databases through the analogy of a food court versus a Michelin star restaurant.