doc: add runcell guides

Signed-off-by: Elwynn Chen <ooer@kanaries.net>

Author: ObservedObserver

README.md

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 **PyGWalker** (pronounced like "Pig Walker", just for fun) is named as an abbreviation of "**Py**thon binding of **G**raphic **Walker**". It integrates Jupyter Notebook with [Graphic Walker](https://github.com/Kanaries/graphic-walker), an open-source alternative to Tableau. It allows data scientists to visualize / clean / annotates the data with simple drag-and-drop operations and even natural language queries.
 
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+> [!TIP]
+> If you want more AI features, we also build [runcell](https://runcell.dev), an AI Code Agent in Jupyter that understands your code/data/cells and generate code, execute cells and take actions for you. It can be used in jupyter lab with `pip install runcell`
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 Visit [Google Colab](https://colab.research.google.com/drive/171QUQeq-uTLgSj1u-P9DQig7Md1kpXQ2?usp=sharing), [Kaggle Code](https://www.kaggle.com/code/lxy21495892/airbnb-eda-pygwalker-demo) or [Graphic Walker Online Demo](https://graphic-walker.kanaries.net/) to test it out!
 
 > If you prefer using R, check [GWalkR](https://github.com/Kanaries/GWalkR), the R wrapper of Graphic Walker.
 > If you prefer a Desktop App that can be used offline and without any coding, check out [PyGWalker Desktop](https://kanaries.net/download?utm_source=pygwalker_github&utm_content=tip).
 
 
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 # Features
 PyGWalker is a Python library that simplifies data analysis and visualization workflows by turning pandas DataFrames into interactive visual interfaces.
 It offers a variety of features that make it a powerful tool for data exploration: