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README.md

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# Kotlin Dataframe: typesafe in-memory structured data processing for JVM
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[![JetBrains incubator project](https://jb.gg/badges/incubator.svg)](https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub)
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[![Kotlin component alpha stability](https://img.shields.io/badge/project-alpha-kotlin.svg?colorA=555555&colorB=DB3683&label=&logo=kotlin&logoColor=ffffff&logoWidth=10)](https://kotlinlang.org/docs/components-stability.html)
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[![Kotlin](https://img.shields.io/badge/kotlin-1.7.0-blue.svg?logo=kotlin)](http://kotlinlang.org)
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[![Kotlin](https://img.shields.io/badge/kotlin-1.7.10-blue.svg?logo=kotlin)](http://kotlinlang.org)
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[![Maven Central](https://img.shields.io/maven-central/v/org.jetbrains.kotlinx/dataframe?color=blue&label=Maven%20Central)](https://search.maven.org/artifact/org.jetbrains.kotlinx/dataframe)
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[![GitHub License](https://img.shields.io/badge/license-Apache%20License%202.0-blue.svg?style=flat)](http://www.apache.org/licenses/LICENSE-2.0)
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mavenCentral()
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}
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dependencies {
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implementation 'org.jetbrains.kotlinx:dataframe:0.8.0'
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implementation 'org.jetbrains.kotlinx:dataframe:0.8.1'
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}
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```
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### Jupyter Notebook

docs/StardustDocs/topics/installation.md

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If you want to use specific version of DataFrame, you can specify it in brackets:
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```text
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%use dataframe(0.8.0)
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%use dataframe(0.8.1)
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```
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After loading, all essential types will be already imported, so you can start using DataFrame. Enjoy!
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## Other build systems
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If you are using Maven, Ivy or Bazel to configure your build, you can still use DataFrame in your project.
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Just follow the instructions for your build system on [this page](https://search.maven.org/artifact/org.jetbrains.kotlinx/dataframe/0.8.0/jar).
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Just follow the instructions for your build system on [this page](https://search.maven.org/artifact/org.jetbrains.kotlinx/dataframe/0.8.1/jar).

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