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Update links to demos #833

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Aug 22, 2024
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Update links to demos #833

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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -38,10 +38,10 @@ You could find the following articles there:
* [Rendering to HTML](https://kotlin.github.io/dataframe/tohtml.html#jupyter-notebooks)

### What's new
Check out new features in development for the next release in this [notebook](examples/notebooks/feature_overviews/0.14.0/new_features.ipynb)
Check out this [notebook with new features](examples/notebooks/feature_overviews/0.14.0/new_features.ipynb) in development for the next release.

The DataFrame compiler plugin reached public preview state!
Here's a [demo project](https://github.com/koperagen/df-plugin-demo) that works with IntelliJ IDEA 2024.2.
The DataFrame compiler plugin has reached public preview!
Here's a [compiler plugin demo project](https://github.com/koperagen/df-plugin-demo) that works with IntelliJ IDEA 2024.2.

## Setup

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3 changes: 2 additions & 1 deletion docs/StardustDocs/topics/overview.md
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Expand Up @@ -31,7 +31,8 @@ that correspond to the columns of a data frame.
In interactive notebooks like Jupyter or Datalore, the generation runs after each cell execution.
In IntelliJ IDEA there's a Gradle plugin for generation properties based on CSV file or JSON file.
Also, we’re working on a compiler plugin that infers and transforms [`DataFrame`](DataFrame.md) schema while typing.
The generated properties ensures you’ll never misspell column name and don’t mess up with its type, and of course nullability is also preserved.
You can now clone this [project with many examples](https://github.com/koperagen/df-plugin-demo) showcasing how it allows you to reliably use our most convenient extension properties API.
The generated properties ensure you’ll never misspell column name and don’t mess up with its type, and of course nullability is also preserved.

* **Generic** — columns can store objects of any type, not only numbers or strings.

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