Ambiguous Dates in Data
The discussion highlights the challenges of interpreting ambiguous date strings in data analysis, particularly in law enforcement contexts. Marco introduces an innovative solution with an ambiguous argument for the to date time function, akin to pandas. The conversation also explores the rising popularity of Polars, emphasizing its potential impact on data science and the future of data manipulation tools.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
Related Questions
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?
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?