# Learning

- [Learning Overview](https://docs.natsec.io/learning/learning-overview.md): Ways you can come alongside us or extend this project through personal growth.
- [Tools](https://docs.natsec.io/learning/tools.md)
- [GitBook](https://docs.natsec.io/learning/tools/gitbook.md): How we handle project documentation.
- [Google Forms](https://docs.natsec.io/learning/tools/google-forms.md): How we collect project contributions.
- [Google Sheets](https://docs.natsec.io/learning/tools/google-sheets.md): How we store project data for cleaning and visualization.
- [Kumu](https://docs.natsec.io/learning/tools/kumu.md): How we visualize project data.
- [Slack](https://docs.natsec.io/learning/tools/slack.md): How we communicate about project activities.
- [Concepts](https://docs.natsec.io/learning/concepts.md)
- [Data Structures](https://docs.natsec.io/learning/concepts/data-structures.md)
- [Data Visualization](https://docs.natsec.io/learning/concepts/data-visualization.md)
- [Dimensionality](https://docs.natsec.io/learning/concepts/dimensionality.md)
- [Courses](https://docs.natsec.io/learning/courses.md)
- [Udemy / DigitalU](https://docs.natsec.io/learning/courses/udemy-digitalu.md)
- [FreeCodeCamp](https://docs.natsec.io/learning/courses/freecodecamp.md)
- [Research](https://docs.natsec.io/learning/research.md): Content we have found helpful in this project.
- [Existing Research](https://docs.natsec.io/learning/research/existing-research.md): Great work already accomplished that may be of interest if you like this project.
- [Questions for Researchers](https://docs.natsec.io/learning/research/questions-for-researchers.md): What we ask ourselves (or are asked by others) that bears further investigation.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.natsec.io/learning.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
