@nvidia/accelerated-computing-cudf

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.

View in AI SkillSafe app
Scanned · no findings
0 downloads
0 stars
0 demos
SKILL.md

Embed badges

Add these to your README to show the skill's verification status.

SkillSafe verified badge
Verified badge
[![SkillSafe verified badge](https://api.skillsafe.ai/v1/badge/@nvidia/accelerated-computing-cudf/verified)](https://skillsafe.ai/skill/@nvidia/accelerated-computing-cudf/)
Installs badge
Installs badge
[![Installs badge](https://api.skillsafe.ai/v1/badge/@nvidia/accelerated-computing-cudf/installs)](https://skillsafe.ai/skill/@nvidia/accelerated-computing-cudf/)
Scan badge
Scan badge
[![Scan badge](https://api.skillsafe.ai/v1/badge/@nvidia/accelerated-computing-cudf/scan)](https://skillsafe.ai/skill/@nvidia/accelerated-computing-cudf/)
Eval pass rate badge
Eval pass rate
[![Eval pass rate badge](https://api.skillsafe.ai/v1/badge/@nvidia/accelerated-computing-cudf/eval)](https://skillsafe.ai/skill/@nvidia/accelerated-computing-cudf/)