# Python API client user guide

> Python API client user guide - Review outlines and explanations of the methods that comprise the API
> client.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-04-24T16:03:56.280532+00:00` (UTC).

## Primary page

- [Python API client user guide](https://docs.datarobot.com/en/docs/api/dev-learning/python/index.html): Full documentation for this topic (HTML).

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page.
- [Administration](https://docs.datarobot.com/en/docs/api/dev-learning/python/admin/index.html): Linked from this page.
- [Data](https://docs.datarobot.com/en/docs/api/dev-learning/python/data/index.html): Linked from this page.
- [MLOps](https://docs.datarobot.com/en/docs/api/dev-learning/python/mlops/index.html): Linked from this page.
- [Modeling](https://docs.datarobot.com/en/docs/api/dev-learning/python/modeling/index.html): Linked from this page.
- [Generative AI](https://docs.datarobot.com/en/docs/api/dev-learning/python/genai/index.html): Linked from this page.
- [Predictions](https://docs.datarobot.com/en/docs/api/dev-learning/python/predictions/index.html): Linked from this page.
- [Use Cases](https://docs.datarobot.com/en/docs/api/dev-learning/python/use_cases/index.html): Linked from this page.

## Documentation content

# Python API client user guide

The Python API client user guide outlines and explanations of the methods that comprise the API client.
To access previous version of the Python API client documentation, access [ReadTheDocs](https://datarobot-public-api-client.readthedocs-hosted.com/en/latest-release/).

| Resource | Description |
| --- | --- |
| Administration | Manage DataRobot Self-Managed AI Platform installations. |
| Data | Ingest, transform, and store your data for experimentation. |
| MLOps | Deploy, monitor, manage, and govern all your models in production, regardless of how they were created or when and where they were deployed. |
| Modeling | Understand the elements of the basic modeling workflow as well as methods for building additional models in a project. |
| Generative AI | Build, validate, and deploy generative AI applications using LLMs, vector databases, and moderation tools. |
| Predictions | How to get predictions with new data from a model. |
| Use Cases | Group assets that solve a specific business problem. |