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#137 bump version
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README.md

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@@ -13,15 +13,15 @@ DDQ is a small library for checking constraints on Spark data structures. It can
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DDQ is available as a [spark package](http://spark-packages.org/package/FRosner/drunken-data-quality). You can add it to your spark-shell, spark-submit or pyspark using the `--packages` command line option:
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```sh
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spark-shell --packages FRosner:drunken-data-quality:4.1.0-s_2.11
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spark-shell --packages FRosner:drunken-data-quality:4.1.1-s_2.11
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```
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### Python API
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DDQ also comes with a Python API. It is available via the Python Package Index, so you have to install it once using `pip`:
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```
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pip install pyddq==4.1.0
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pip install pyddq==4.1.1
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```
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### Project Dependency [![Latest Release](https://img.shields.io/github/tag/FRosner/drunken-data-quality.svg?label=JitPack)](https://jitpack.io/#FRosner/drunken-data-quality)

build.sbt

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organization := "de.frosner"
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version := "4.2.0-SNAPSHOT"
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version := "4.1.1"
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name := "drunken-data-quality"
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