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12min chapter
815: Polars: Faster DataFrame Ops, with Marco Gorelli
Super Data Science: ML & AI Podcast with Jon Krohn
Optimizing Data Processing with Lazy Evaluation
This chapter delves into lazy evaluation in data processing, particularly focusing on how it enhances performance when managing large data frames. The discussion covers the evolution of string operations from traditional libraries like Pandas to newer optimizations available in innovative libraries such as Polars, emphasizing memory efficiency and reduced runtime. A case study highlights Polars' performance benefits in real-world applications, showcasing its effectiveness in handling substantial data within specific constraints.
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