Altair and Polars
Marco discusses the impressive speed improvements achieved by using Polars for feature engineering, highlighting a benchmark that showed a 150x speedup. He also shares exciting news about Altair's adoption of Polars, allowing users to create beautiful, interactive plots without needing additional libraries like NumPy or Pandas. This shift promises easier integration for Polars users and enhances the overall data visualization landscape.In this clip
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815: DataFrame Operations 100x Faster than Pandas — with Marco Gorelli
Related Questions
Is it possible to outgrow Pandas for data analysis as discussed in the episode 815: DataFrame Operations 100x Faster than Pandas — with Marco Gorelli and the clip Narwhals Library Launch, in relation to the episode SDS 523: Open-Source Analytical Computing (pandas, Apache Arrow) — with Wes McKinney?
Is it possible to outgrow pandas for data analysis based on the episode 815: DataFrame Operations 100x Faster than Pandas — with Marco Gorelli and the clip Narwhals Library Launch?
Is it possible to outgrow Pandas for data analysis as discussed in the episode 815: DataFrame Operations 100x Faster than Pandas — with Marco Gorelli and the clip Narwhals Library Launch?