What if simply changing the library would unlock all the processor cores without rewriting the code?

pandas runs joins on a single core, leaving the others idle when working with large tables.

Polars distributes join operations across all available cores and is therefore significantly faster than pandas on large data sets.

Why is Polars so fast:
• Processes rows in batches in parallel
• Uses all CPU cores
• Requires no configuration

Article - Pandas Vs Polars Vs Duckdb

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