sample.json

{
  "guid": "AE280EFE-9EB1-406D-B32D-5991F707E195",
  "name": "Modin* Getting Started",
  "categories": ["Toolkit/oneAPI AI And Analytics/Getting Started"],
  "description": "This sample illustrates how to use Modin* accelerated Pandas functions and notes the performance gain when compared to standard Pandas functions",
  "builder": ["cli"],
  "languages": [{"python":{}}],
  "os":["linux"],
  "targetDevice": ["CPU"],
  "ciTests": {
  	"linux": [
    {
  		"env": [
        "source /intel/oneapi/intelpython/bin/activate",
        "conda activate modin",
        "pip install uv",
        "uv init",
        "uv python pin $(which python)",
        "uv venv --system-site-packages",
        "uv add -r requirements.txt",
        "pip install notebook",
        "uv add --dev ipykernel",
        "uv run ipython kernel install --user --name modin_getting_started"
      ],
  		"id": "Intel_Modin_GS_py",
  		"steps": [
			"jupyter nbconvert --ExecutePreprocessor.enabled=True --to notebook Modin_GettingStarted.ipynb"
  		]
  	}
    ]
},
"expertise": "Getting Started"
}