To continue 1/3:
Polars is popular in part because of its intuitive & powerful context and expressions that help make simple data manipulation tasks easy (not to mention the Arrow driven performance). These are important to folks who want to think more about their analytics and less about code optimization. But right now, when it's time to convert polars data into a table to share, people often turn to pandas and use the built-in DataFrame styler.