Pandas is flexible, but often slow when processing gigabytes of data. Many frameworks promise higher performance, but they often support only a subset of the Pandas API, require significant code change, and struggle to interact with or accelerate third-party code that you can’t change. RAPIDS cuDF enables Pandas users to accelerate their existing workflows and third-party code with zero code change required. You can continue using Pandas on CPUs for small-scale local development and testing...
