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sample.json
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31 lines (31 loc) · 995 Bytes
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{
"guid": "FE479C5C-C7A0-4612-B8D0-F83D07155411",
"name": "Modin* Vs. Pandas Performance",
"categories": ["Toolkit/oneAPI AI And Analytics/Getting Started"],
"description": "This sample code illustrates how Modin* accelerates the performance of Pandas for computational operations on a dataframe.",
"builder": ["cli"],
"languages": [{
"python": {}
}],
"os": ["linux"],
"targetDevice": ["CPU"],
"ciTests": {
"linux": [{
"id": "modin_pandas_performance",
"steps": [
"source /intel/oneapi/intelpython/bin/activate",
"conda activate base",
"pip install uv",
"uv init",
"uv python pin $(which python)",
"uv venv --system-site-packages",
"uv add numpy pandas modin[all]",
"uv add --dev ipykernel",
"uv run ipython kernel install --user --name modin_vs_pandas",
"uv add notebook",
"uv run jupyter nbconvert --ExecutePreprocessor.enabled=True --to notebook Modin_Vs_Pandas.ipynb"
]
}]
},
"expertise": "Concepts and Functionality"
}