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Optimizing pandas performance on large datasets

I’m working with a large dataset (~10 million rows and 50 columns) in pandas and experiencing significant performance issues during data manipulation and analysis. The operations include filtering, merging, and aggregating the data, and they are currently taking too long to execute.

Optimizing pandas performance on large datasets

I’m working with a large dataset (~10 million rows and 50 columns) in pandas and experiencing significant performance issues during data manipulation and analysis. The operations include filtering, merging, and aggregating the data, and they are currently taking too long to execute.