Dependency-Free Design
Marco discusses the challenges and strategies behind creating a library with minimal dependencies. By leveraging existing imports, he explains how to avoid unnecessary imports while maintaining efficiency. He also elaborates on the importance of understanding data frame expressions and the potential overhead when aligning indices, highlighting the unique approach taken to differentiate from pandas.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
815: DataFrame Operations 100x Faster than Pandas — with Marco Gorelli
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