Python数据科学工作流GPU加速：零代码改动，性能翻倍

核心洞察与关键发现

NVIDIA通过其cuDF、cuML和cuGraph等库，为Pandas、Polars、Scikit-learn、XGBoost、UMAP、HDBSCAN和NetworkX等主流Python数据科学及机器学习库提供了即插即用的GPU加速方案。用户无需修改现有代码，仅通过加载特定扩展（如`%load_ext cudf.pandas`）或设置简单参数（如`device=

7 Drop-In Replacements to Instantly Speed Up Your Python Data Science Workflows | NVIDIA Technical Blog

You’ve been there. You wrote the perfect Python script, tested it on a sample CSV, and everything worked flawlessly. But when you unleashed it on the full 10 million row dataset…

NVIDIA Technical BlogJamil Semaan