python-data
Performs heavy numerical compute and statistical analysis inside the sandbox.
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- Repository
- google-gemini/gemini-managed-agents-templates
- Last source activity
- May 6, 2026 at 16:01
- Detected SKILL.md language
- English
- Stars
- 100
- Forks
- 39
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SKILL.md
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- python-data
- description
- Performs heavy numerical compute and statistical analysis inside the sandbox.
# Python data skill
Run complex calculations, regressions, and aggregations using pandas and
scikit-learn in the sandbox.
## Workflow
1. **Write a Python script** using `pandas`, `numpy`, or `sklearn` to:
- Join, filter, and aggregate tables.
- Compute statistics (mean, median, stddev, correlations).
- Build or evaluate ML models.
- Run statistical tests (chi-square, t-test) when appropriate.
2. **Execute in the sandbox.** Run via `python3 script.py`.
3. **Handle errors.** If the code fails, read the traceback and fix it.
4. **Return structured output.** Print results as JSON for downstream skills.
## Example output
```json
[
{"segment": "High Risk", "churn_rate": 0.34, "avg_tenure": 2.1},
{"segment": "Low Risk", "churn_rate": 0.05, "avg_tenure": 14.7}
]
```
## Notes
- Use `select_dtypes(include=["object", "str"])` for categorical columns
(avoids the pandas 4 deprecation warning).
- Install missing packages with `pip install -q <package>` before importing.
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