cudf — Easy Playground

GPU-accelerated DataFrame library by NVIDIA (RAPIDS)

Getting started with cudfRun locally

Install

pip install cudf-cu12 --extra-index-url=https://pypi.nvidia.com

Python CodeRun locally

# Install: pip install cudf-cu12 --extra-index-url=https://pypi.nvidia.com
import cudf

# Basic cudf usage
print(f"Using cudf")
# See documentation for detailed examples

# Install: pip install cudf-cu12 --extra-index-url=https://pypi.nvidia.com
import cudf

# Basic cudf usage
print(f"Using cudf")
# See documentation for detailed examples

Expected Output

# Expected output shown below
# (Run locally with: cudf)

cudf is a third-party package. GPU-accelerated DataFrame library by NVIDIA (RAPIDS). Install with: pip install cudf-cu12 --extra-index-url=https://pypi.nvidia.com

Challenge

Try modifying the code above to explore different behaviors. Can you extend the example to handle a new use case?

View all Easy examples for cudf