Tutorials/Accelerated Python: Install cuDF and cuML in the main environment#154
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…onment. cuDF and cuML no longer have a compatibility issue with numba-cuda, so they can be installed directly in the main Python environment instead of an isolated RAPIDS venv. This removes the separate venv, its Jupyter kernel registration, and the duplicate ipykernel/pytest installs, reducing container size. Notebooks that used the RAPIDS kernel now use the standard python3 kernel, and the format checker no longer accepts or mentions the RAPIDS kernelspec.
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Summary
cudf-cu13==26.2.1andcuml-cu13==26.2.0directly in the main environment viarequirements.txt, now that the numba-cuda compatibility issue is resolved.Python 3 (RAPIDS 25.10)kernel to the standardpython3kernel, and runs RAPIDS tests with regular pytest instead of the venv pytest.test-notebook-format.pyso it no longer accepts or mentions the RAPIDS kernel as an alternative.