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Cake day: September 4th, 2025

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  • Use polars, or some framework that’s been built with performance from the start?

    I have optimized pandas notebooks before, but it seems a bit like a foundation of sand.

    plus a GPU-powered drop-in accelerator, cudf.pandas, that delivers order-of-magnitude speedups with no code changes.

    Don’t have a GPU on your machine? No problem—you can use cudf.pandas for free in Google Colab, where GPUs are available and the library comes pre-installed.

    Ah, I see why NVIDIA is writing about it.