GPU Acceleration Slashes Data Prep Time on NYC Taxi Dataset
In a hands‑on walkthrough, the author benchmarks cuDF and cudf.pandas on the 9‑10 M‑row NYC Taxi dataset, showing that common pandas data‑prep steps run 2‑10× faster on a GPU with minimal code changes. This proves that GPU‑enabled Python stacks can move a sizable chunk of everyday data‑engineering work off the CPU.