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Merge branch 'master' of https://github.com/fsprojects/IfSharp
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Diff for: README.md

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@@ -59,6 +59,36 @@ If the launch fails in the console window, check that the Anaconda version used
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4. Unzip the release then run `mono IfSharp.exe` (this sets up the Jupyter kernel files in `~/.local/share/jupyter/kernels/ifsharp/`)
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6. Run `jupyter notebook`, the IfSharp kernel should now be one of the supported kernel types.
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# Manual Installation (Linux - HDInsights)
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1. Follow instructions to [install or update Mono](https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-install-mono) on HDInsights.
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2. [SSH into the HDInsights cluster](https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-linux-use-ssh-unix).
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3. Download the current Ifsharp zip release [v3.0.0-beta2](https://github.com/fsprojects/IfSharp/releases/download/v3.0.0-beta2/IfSharp.v3.0.0-beta2.zip) with the following commands:
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```
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# create ifsharp folder under /tmp
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mkdir ifsharp
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cd ifsharp
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wget https://github.com/fsprojects/IfSharp/releases/download/v3.0.0-beta2/IfSharp.v3.0.0-beta2.zip
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unzip IfSharp.v3.0.0-beta2.zip
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chmod +x ifsharp.exe
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```
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4. From the [Azure portal](https://portal.azure.com/), open your cluster. See [List and show clusters](../hdinsight-administer-use-portal-linux.md#list-and-show-clusters) for the instructions. The cluster is opened in a new portal blade.
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5. From the **Quick links** section, click **Cluster dashboards** to open the **Cluster dashboards** blade. If you don't see **Quick Links**, click **Overview** from the left menu on the blade.
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6. Click **Jupyter Notebook**. If prompted, enter the admin credentials for the cluster.
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> [!NOTE]
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> You may also reach the Jupyter notebook on Spark cluster by opening the following URL in your browser. Replace **CLUSTERNAME** with the name of your cluster:
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>
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> `https://CLUSTERNAME.azurehdinsight.net/jupyter`
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>
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7. Click **New**, and then click **Terminal**.
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8. In the terminal window `cd` into the `/tmp/ifsharp/` folder and using mono, run the installer:
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```
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cd /tmp/ifsharp
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mono IfSharp.exe
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```
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9. Back on the Jupyter homepage, click **New** and you will now see the IFsharp kernel installed.
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# Screens
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## Intellisense

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