Hacker News: marcogorellihttps://news.ycombinator.com/user?id=marcogorelliHacker News RSShttps://hnrss.org/hnrss v2.1.1Tue, 07 Apr 2026 10:29:16 +0000<![CDATA[Narwhals: Unified DataFrame Functions for Pandas, Polars, and PySpark]]>Article URL: https://codecut.ai/unified-dataframe-functions-pandas-polars-pyspark/

Comments URL: https://news.ycombinator.com/item?id=44013002

Points: 1

# Comments: 0

]]>Sat, 17 May 2025 08:56:37 +0000https://codecut.ai/unified-dataframe-functions-pandas-polars-pyspark/marcogorellihttps://news.ycombinator.com/item?id=44013002https://news.ycombinator.com/item?id=44013002<![CDATA[New comment by marcogorelli in "FireDucks: Pandas but Faster"]]>Could you show how you write "calculate a monthly sum anchored on the last business day of the month" in pandas please?

]]>Wed, 20 Nov 2024 14:09:55 +0000https://news.ycombinator.com/item?id=42194053marcogorellihttps://news.ycombinator.com/item?id=42194053https://news.ycombinator.com/item?id=42194053<![CDATA[New comment by marcogorelli in "Farewell Pandas, and thanks for all the fish"]]>Also depending on your use case, Ibis may not support the part of the Polars API you actually need

(to be clear, I'm a fan of "DuckDB via Ibis", I'm much less a fan of statements to the effect of "use Polars via Ibis instead of Polars directly", as I think they miss a lot :wink:)

]]>Fri, 30 Aug 2024 14:11:22 +0000https://news.ycombinator.com/item?id=41400915marcogorellihttps://news.ycombinator.com/item?id=41400915https://news.ycombinator.com/item?id=41400915