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Cleanup mention of outdated Gradle & example project
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docs/StardustDocs/topics/concepts/concepts.md

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@@ -40,7 +40,6 @@ This is why it was designed to be hierarchical and allows nesting of columns and
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* **Immutable** — every operation returns a new instance of [`DataFrame`](DataFrame.md) reusing underlying storage wherever it's possible.
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* **Readable** — data transformation operations are defined in DSL close to natural language.
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* **Practical** — provides simple solutions for common problems and the ability to perform complex tasks.
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* **Minimalistic** — simple, yet powerful data model of three [column kinds](DataColumn.md#column-kinds).
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* [**Interoperable**](collectionsInterop.md) — convertable with Kotlin data classes and collections.
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This also means conversion to/from other libraries' data structures is usually quite straightforward!
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See our [examples](https://github.com/Kotlin/dataframe/tree/master/examples/projects)
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* **Typesafe** — the Kotlin DataFrame library provides a mechanism of on-the-fly [**generation of extension properties**](extensionPropertiesApi.md)
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that correspond to the columns of a dataframe.
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In interactive notebooks like Jupyter or Datalore, the generation runs after each cell execution.
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In IntelliJ IDEA there's a Gradle plugin for generation properties based on CSV file or JSON file.
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Also, we’re working on a compiler plugin that infers and transforms [`DataFrame`](DataFrame.md) schema while typing.
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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.
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In IntelliJ IDEA we’re featuring a compiler plugin that infers and transforms [`DataFrame`](DataFrame.md) schema while typing.
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You can now check out this [typical data wrangling pipeline](https://github.com/Kotlin/dataframe/blob/master/examples/projects/kotlin-dataframe-plugin-gradle-example/src/main/kotlin/org/jetbrains/kotlinx/dataframe/examples/plugin/Main.kt) showcasing how it allows you to reliably use our most convenient extension properties API.
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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.
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* [**Polymorphic**](schemas.md)
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if all columns of a [`DataFrame`](DataFrame.md) instance are presented in another dataframe,

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