How to use Pandas Efficiently
summary
Claims that using chaining + assign and pandas' datetime and groupby tools produces clearer, more maintainable pipelines, and demonstrates them with live code. Shows actual code from the GitHub repo and slides, merges a bike rides dataset with weather via merge bike and weather, creates a date column, uses groupby year and value_counts to extract trends, and runs the pipeline end-to-end (minor live hiccups but outputs computed).
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