Pandas’ hidden bottleneck: mental overload, not execution speed
Even with faster engines, pandas forces analysts to juggle inconsistent APIs, method‑chain gymnastics, and index quirks. The real cost is cognitive—each extra token steals working memory that could be spent on insight. Faster runtimes won’t help until the surface is streamlined.