# Tips for beginners

## What you need to know

Kiara is a powerful tool for data processing and analysis, but it assumes you have certain foundational skills. This page will help you understand what you need to know and where to learn these skills if you're just starting out with digital humanities methods.

## Essential skills

Kiara requires some competency in, or at least a willingness to use, your computer's Command Line Interface, Python, virtual environments, and Jupyter notebooks. A basic understanding of data processing techniques, the principles of reproducible research, network analysis, and topic modeling will also be a big advantage.

If the detailed guidance available in this documentation is not enough to get you started, we suggest you begin with some introductory tutorials from excellent resources such as [Programming Historian](https://programminghistorian.org/) and [Ranke.2](https://ranke2.uni.lu/).

## Skill levels and what's possible

**Minimum**: Follow step-by-step instructions, create virtual environments, install packages, and run basic Python scripts or notebooks.

**Comfortable**: Modify existing code, understand error messages, debug simple problems, and adapt workflows to your data and research questions.

**Advanced**: Write custom modules, create new processing pipelines, and contribute to the Kiara ecosystem.


---

# 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.dharpa.org/troubleshooting/tips-for-beginners.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.
