In high-stakes fields such as quant finance, algorithmic trading, and fraud detection, data practitioners frequently need to process hundreds of gigabytes (GB)…
In high-stakes fields such as quant finance, algorithmic trading, and fraud detection, data practitioners frequently need to process hundreds of gigabytes (GB) of data to make quick, informed decisions. Polars, one of the fastest-growing data processing libraries, meets this need with a GPU engine powered by NVIDIA cuDF that accelerates compute-bound queries that are common in these fields.
