What’s new in pandas 3
Summary
The article introduces pandas 3.0, highlighting backward-compatible design, copy-on-write efficiency, and improved syntax for chaining operations. It covers accelerated UDFs via external engines (e.g., bodo.ai) and discusses the Arrow integration strategy and its implications for string data. The piece also contrasts pandas with Polars and emphasizes practical upgrade considerations for teams relying on large DataFrames.