In modern data pipelines, performance bottlenecks rarely come from algorithms alone; they often stem from the tools we rely on every day. Python libraries like Pandas are the backbone of data processing, but newer alternatives like Polars are rapidly challenging that dominance with claims of significantly better performance.

Pandas have been the...