PythonHub
Link
click to show
click to show
Polars Query Optimization: Lazy vs. Eager Mode
Learn how Polars' lazy mode improves memory efficiency and performance compared to eager mode by building an optimized query plan before execution. By utilizing predicate and projection pushdown, lazy mode significantly reduces resource usage when working with large datasets, making it the preferred approach for most data analysis tasks.
https://www.youtube.com/watch?v=ux7MlXxFDQY
1 · 106 ·