Comment by 0cf8612b2e1e

End of the day, they both get the job done.

Pandas is more ergonomic in that some ideas can be more tersely represented. The downside is that this results in more dynamism which can change if the underlying data gets updated. Polars is more strict in that it will not silently flip a data type on you. However this strictness does come at the cost of being a bit slower to type and some data idioms not having a good Polars equivalent.

People like to note the speed improvements, but that is the least interesting thing about the library. Rarely have I ever had a problem where I was bottlenecked by Pandas throughout.

Polars is very much a Pandas 2.0 with a bunch of lessons learned. I do not think it is earth shattering changes, but it is worth migrating when you can.