# 👨‍💻 User Guide Index

Welcome to the DataLineagePy User Guide! Here you'll find everything you need to master data lineage tracking, from core concepts to advanced integrations.

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## 📚 Core Guides

- [Concepts](concepts.md): Understand the architecture, mental models, and core ideas behind DataLineagePy.
- [DataFrame Wrapper](dataframe-wrapper.md): Learn how to wrap and track your pandas DataFrames with zero friction.
- [Database Connectors](database-connectors.md): Connect to MySQL, PostgreSQL, SQLite, and more with full lineage tracking.

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## 🚀 Advanced Topics

- [Installation Guide](../installation.md)
- [Quickstart](../quickstart.md)
- [Performance Benchmarks](../benchmarks/performance.md)
- [Enterprise Deployment](../advanced/production.md)
- [ML/AI Pipeline Tracking](../advanced/ml_automl_pipeline_integration.md)
- [Use Cases & Industry Applications](../use-cases/industry-applications.md)

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## 🏁 Start Here

- If you're new, begin with the [Concepts Guide](concepts.md) and [Quickstart](../quickstart.md).
- For real-world pipelines, see [Database Connectors](database-connectors.md) and [Enterprise Deployment](../advanced/production.md).
- For advanced analytics, see [Performance Benchmarks](../benchmarks/performance.md) and [ML/AI Pipeline Tracking](../advanced/ml_automl_pipeline_integration.md).

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<div align="center">
  <b>DataLineagePy 3.0 &mdash; The new standard for Python data lineage</b><br/>
  <i>Beautiful. Powerful. Effortless.</i>
</div>
