Originally published at: https://developer.nvidia.com/blog/accelerated-data-analytics-speed-up-data-exploration-with-rapids-cudf/
This post is part of a series on accelerated data analytics: Accelerated Data Analytics: Faster Time Series Analysis with RAPIDS cuDF walks you through the common steps of time series data processing with RAPIDS cuDF. This post discusses how the pandas library provides efficient, expressive functions in Python. Digital advancements in climate modeling, healthcare, finance,…
Really insightful breakdown of how RAPIDS cuDF bridges the gap between pandas and distributed tools like Spark. The speedups are impressive, but I especially like how the website and notebooks make it easy to adopt without a steep learning curve. Excited to see more real-world EDA workflows leverage GPU acceleration like this!