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authoredApr 19, 2022
Update apache-spark-jupyter-notebook-kernels.md
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‎articles/hdinsight/spark/apache-spark-jupyter-notebook-kernels.md

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HDInsight Spark clusters provide kernels that you can use with the Jupyter Notebook on [Apache Spark](./apache-spark-overview.md) for testing your applications. A kernel is a program that runs and interprets your code. The three kernels are:
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- **PySpark** - for applications written in Python2. (Applicable only for version 2.4)
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- **PySpark** - for applications written in Python2. (Applicable only for Spark 2.4 version clusters)
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- **PySpark3** - for applications written in Python3.
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- **Spark** - for applications written in Scala.
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:::image type="content" source="./media/apache-spark-jupyter-notebook-kernels/kernel-jupyter-notebook-on-spark.png " alt-text="Kernels for Jupyter Notebook on Spark" border="true":::
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> [!NOTE]
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> For HDI 4.0, only **PySpark3**, or **Spark** will be available.
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> For Spark 3.1, only **PySpark3**, or **Spark** will be available.
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>
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:::image type="content" source="./media/apache-spark-jupyter-notebook-kernels/kernel-jupyter-notebook-on-spark-for-hdi-4-0.png " alt-text="Kernels for Jupyter Notebook on Spark HDI4.0" border="true":::
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