What is the difference between categorical and object dtype performance in Pandas?

Categorical dtype is memory-efficient and faster for repeated operations than object dtype.

Object dtype stores Python objects (strings), requiring more memory and slower comparisons. Categorical dtype encodes values as integers mapped to a dictionary, improving memory efficiency and accelerating operations like groupby, sorting, and comparisons.