this post was submitted on 05 Sep 2025
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How to Spot (and Fix) 5 Common Performance Bottlenecks in Pandas Workflows (developer.nvidia.com)
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[–] pageflight@piefed.social 1 points 1 month ago* (last edited 1 month ago)

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.