Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
NVIDIA/cudf
SkillsMP has collected 9 skills from NVIDIA/cudf. Open a skill to review its source and details.
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Skills in this repository
Showing 9 of 9 collected skills.
Debug and fix pandas test suite failures under the cudf.pandas compatibility layer. Use when given pytest node IDs of failing pandas tests that need to be fixed for cudf.pandas compatibility.
Benchmark a cuDF branch, WIP changes, or a PR against the `main` branch
Reproduce cudf CI failures locally. Provide a GitHub Actions job URL to auto-discover parameters, or supply the container image and CI script directly.
Use this skill to review GitHub pull requests for cudf
Build and test cudf Java bindings (cudf-java) inside a cudf devcontainer. Use when the user asks to build, compile, or test Java code in the cudf repository.
Use when updating Narwhals for cudf-polars and cudf testing in CI
Use when implementing or reviewing support for Polars Expressions in cudf-polars
Use this skill to build and test code changes inside a cudf devcontainer.