Originally published at: https://developer.nvidia.com/blog/10-minutes-to-data-science-transitioning-between-rapids-cudf-and-cupy-libraries/
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…