10 Minutes to Data Science: Transitioning Between RAPIDS cuDF and CuPy Libraries – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-03T22:20:47Z http://www.open-lab.net/blog/feed/ Nick Becker <![CDATA[10 Minutes to Data Science: Transitioning Between RAPIDS cuDF and CuPy Libraries]]> http://www.open-lab.net/blog/?p=23338 2025-05-01T18:34:21Z 2021-03-19T21:01:26Z RAPIDS is about creating bridges, connections, and clean handoffs between GPU PyData libraries. Interoperability with functionality is our goal. For example, if...]]> RAPIDS is about creating bridges, connections, and clean handoffs between GPU PyData libraries. Interoperability with functionality is our goal. For example, if...

This post was originally published on the RAPIDS AI blog. RAPIDS is about creating bridges, connections, and clean handoffs between GPU PyData libraries. Interoperability with functionality is our goal. For example, if you��re working with RAPIDS cuDF but need a more linear-algebra oriented function that exists in CuPy, you can leverage the interoperability of the GPU PyData ecosystem to��

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