# Tool: Generate Prompt for Python Data Analysis

> Build production-grade data science prompts with the BOPINK Data Engineering Generator. Tailored for Data Scientists, Analysts, and Machine Learning Engineers, this tool creates comprehensive instructions for exploratory data analysis (EDA), automated dataset cleaning, missing value imputation, statistical hypothesis testing, and vectorized pipeline creation using Pandas, Polars, PySpark, and Scikit-Learn.

**Category**: prompts-code-design | **Target AI Models**: Gemini 3.1 Pro, GPT-4o, Claude 3.5 Sonnet

## Domain Parameters:
- `framework` (select): Data Framework (Default: "Pandas")
- `outputFormat` (select): Code Structure (Default: "Jupyter Notebook")
- `includeCharts` (toggle): Data Visualization Code (Default: "true")
- `handleMissingData` (select): Missing Data Strategy (Default: "Auto-Imputation")

## Master Prompt Engineering Architecture (5 Pillars):
1. **Role & Persona**: Domain expert framing
2. **Task & Deliverable**: Primary objective & constraints
3. **Context & Parameters**: Technical specs & camera/stack parameters
4. **Negative Constraints**: Forbidden artifacts & bad practices
5. **Output Spec**: Section formatting & XML/Markdown structure

## Programmatic API Execution:
```http
POST /api/generate-prompt
Content-Type: application/json

{
  "toolSlug": "generate-prompt-for-python-data-analysis",
  "rawPrompt": "Your raw concept here",
  "thinkingLevel": "HIGH"
}
```