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ADS: Remove Azure Data Studio mentions in ML
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‎.openpublishing.redirection.json‎

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"redirect_url": "/sql/machine-learning/concepts/security",
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"redirect_document_id": true
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},
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{
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"source_path": "docs/machine-learning/tutorials/python-clustering-model-build.md",
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"redirect_url": "/sql/machine-learning/concepts/extension-python",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/tutorials/python-clustering-model-deploy.md",
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"redirect_url": "/sql/machine-learning/concepts/extension-python",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/tutorials/python-ski-rental-linear-regression-deploy-model.md",
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"redirect_url": "/sql/machine-learning/concepts/extension-python",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/tutorials/python-ski-rental-linear-regression-train-model.md",
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"redirect_url": "/sql/machine-learning/concepts/extension-python",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/tutorials/r-clustering-model-build.md",
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"redirect_url": "/sql/machine-learning/concepts/extension-python",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/tutorials/r-clustering-model-deploy.md",
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"redirect_url": "/sql/machine-learning/concepts/extension-python",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/tutorials/r-clustering-model-introduction.md",
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"redirect_url": "/sql/machine-learning/concepts/extension-python",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/tutorials/r-clustering-model-prepare-data.md",
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"redirect_url": "/sql/machine-learning/concepts/extension-python",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/tutorials/r-predictive-model-deploy.md",
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"redirect_url": "/sql/machine-learning/concepts/extension-python",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/tutorials/r-predictive-model-introduction.md",
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"redirect_url": "/sql/machine-learning/concepts/extension-python",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/tutorials/r-predictive-model-prepare-data.md",
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"redirect_url": "/sql/machine-learning/concepts/extension-python",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/tutorials/r-predictive-model-train.md",
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"redirect_url": "/sql/machine-learning/concepts/extension-python",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/package-management/install-additional-python-packages-on-sql-server.md",
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"redirect_url": "/sql/machine-learning/concepts/extension-python",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/advanced-analytics/connect/loopback-connection.md",
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"redirect_url": "/sql/machine-learning/connect/loopback-connection",
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"redirect_url": "/sql/connect/jdbc/connecting-to-sql-server-with-the-jdbc-driver",
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"redirect_document_id": false
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}
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]
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}

‎azure-sql/toc.yml‎

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href: /sql/machine-learning/tutorials/r-taxi-classification-deploy-model?context=%2fazure%2fazure-sql%2fmanaged-instance%2fcontext%2fml-context&preserve-view=true&view=azuresqldb-mi-current
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- name: How to
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items:
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- name: Data exploration and modeling
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items:
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- name: Python
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items:
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- name: Plot Histogram in Python
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href: /sql/machine-learning/data-exploration/python-plot-histogram?context=%2fazure%2fazure-sql%2fmanaged-instance%2fcontext%2fml-context&preserve-view=true&view=azuresqldb-mi-current
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- name: Import data into pandas dataframe
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href: /sql/machine-learning/data-exploration/python-dataframe-pandas?context=%2fazure%2fazure-sql%2fmanaged-instance%2fcontext%2fml-context&preserve-view=true&view=azuresqldb-mi-current
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- name: Insert dataframe into SQL
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href: /sql/machine-learning/data-exploration/python-dataframe-sql-server?context=%2fazure%2fazure-sql%2fmanaged-instance%2fcontext%2fml-context&preserve-view=true&view=azuresqldb-mi-current
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- name: Data type conversions
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items:
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- name: Python to SQL
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items:
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- name: Get Python package information
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href: /sql/machine-learning/package-management/python-package-information?context=%2fazure%2fazure-sql%2fmanaged-instance%2fcontext%2fml-context&preserve-view=true&view=azuresqldb-mi-current
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- name: Install with sqlmlutils
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href: /sql/machine-learning/package-management/install-additional-python-packages-on-sql-server?context=%2fazure%2fazure-sql%2fmanaged-instance%2fcontext%2fml-context&preserve-view=true&view=azuresqldb-mi-current
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- name: Install new R packages
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items:
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- name: Get R package information

‎docs/machine-learning/concepts/extension-python.md‎

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+ [Extensibility framework in SQL Server](extensibility-framework.md)
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+ [R and machine learning extensions in SQL Server](extension-r.md)
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+ [Get Python package information](../package-management/python-package-information.md)
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+ [Install Python packages with sqlmlutils](../package-management/install-additional-python-packages-on-sql-server.md)

‎docs/machine-learning/index.yml‎

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- text: Deploy and make predictions with an ONNX model in Azure SQL Edge
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url: /azure/azure-sql-edge/deploy-onnx
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- title: Azure Data Studio ML extension
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linkLists:
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- linkListType: overview
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links:
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- text: What is the Machine Learning extension for Azure Data Studio?
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url: ../azure-data-studio/extensions/machine-learning-extension.md
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- linkListType: how-to-guide
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links:
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- text: Manage packages in database
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url: ../azure-data-studio/extensions/machine-learning-extension-manage-packages.md
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- text: Make predictions
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url: ../azure-data-studio/extensions/machine-learning-extension-predictions.md
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- text: Import or view models
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url: ../azure-data-studio/extensions/machine-learning-extension-import-view-models.md
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- title: SQL Server Big Data Clusters
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- linkListType: overview

‎docs/machine-learning/install/custom-runtime-python.md‎

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You can execute a Python external scripts with the stored procedure [sp_execute_external script](../../relational-databases/system-stored-procedures/sp-execute-external-script-transact-sql.md).
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To enable external scripts, use [Azure Data Studio](/azure-data-studio/what-is-azure-data-studio) to execute the statement below.
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To enable external scripts, use the [MSSQL extension for Visual Studio Code](../../tools/visual-studio-code-extensions/mssql/mssql-extension-visual-studio-code.md) to execute the statement below.
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```sql
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sp_configure 'external scripts enabled', 1;

‎docs/machine-learning/install/custom-runtime-r.md‎

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You can execute an R external script with the stored procedure [sp_execute_external script](../../relational-databases/system-stored-procedures/sp-execute-external-script-transact-sql.md).
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To enable external scripts, use [Azure Data Studio](/azure-data-studio/what-is-azure-data-studio) to execute the statement below.
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To enable external scripts, use the [MSSQL extension for Visual Studio Code](../../tools/visual-studio-code-extensions/mssql/mssql-extension-visual-studio-code.md) to execute the following statement.
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```sql
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sp_configure 'external scripts enabled', 1;

‎docs/machine-learning/install/includes/custom-runtime-python-linux-common.md‎

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Alternatively, you can use the debug version (**python-lang-extension-linux-debug.zip**) in a development or test environment. The debug version provides verbose logging information to investigate any errors, and is not recommended for production environments.
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1. Use [Azure Data Studio](/azure-data-studio/what-is-azure-data-studio) to connect to your SQL Server instance and run the following T-SQL command to register the Python language extension with [CREATE EXTERNAL LANGUAGE](../../../t-sql/statements/create-external-language-transact-sql.md).
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1. Use the [MSSQL extension for Visual Studio Code](../../../tools/visual-studio-code-extensions/mssql/mssql-extension-visual-studio-code.md) to connect to your SQL Server instance and run the following T-SQL command to register the Python language extension with [CREATE EXTERNAL LANGUAGE](../../../t-sql/statements/create-external-language-transact-sql.md).
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Modify the path in this statement to reflect the location of the downloaded language extension zip file (**python-lang-extension-linux-release.zip**).
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‎docs/machine-learning/install/includes/custom-runtime-python-windows.md‎

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Alternatively, you can use the debug version (**python-lang-extension-windows-debug.zip**) in a development or test environment. The debug version provides verbose logging information to investigate any errors, and is not recommended for production environments.
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1. Use [Azure Data Studio](/azure-data-studio/what-is-azure-data-studio) to connect to your SQL Server instance and run the following T-SQL command to register the Python language extension with [CREATE EXTERNAL LANGUAGE](../../../t-sql/statements/create-external-language-transact-sql.md).
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1. Use the [MSSQL extension for Visual Studio Code](../../../tools/visual-studio-code-extensions/mssql/mssql-extension-visual-studio-code.md) to connect to your SQL Server instance and run the following T-SQL command to register the Python language extension with [CREATE EXTERNAL LANGUAGE](../../../t-sql/statements/create-external-language-transact-sql.md).
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Modify the path in this statement to reflect the location of the downloaded language extension zip file (**python-lang-extension-windows-release.zip**) and the location your Python installation (`C:\\Program Files\\Python37`).
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‎docs/machine-learning/install/includes/custom-runtime-r-linux-common.md‎

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Alternatively, you can use the debug version (**R-lang-extension-linux-debug.zip**) in a development or test environment. The debug version provides verbose logging information to investigate any errors, and is not recommended for production environments.
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1. Use the [MSSQL extension for Visual Studio Code](../../../tools/visual-studio-code-extensions/mssql/mssql-extension-visual-studio-code.md) to connect to your SQL Server instance and run the following T-SQL command to register the R language extension with [CREATE EXTERNAL LANGUAGE](../../../t-sql/statements/create-external-language-transact-sql.md).
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‎docs/machine-learning/install/includes/custom-runtime-r-windows.md‎

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1. Open [SQL Server Configuration Manager](../../../relational-databases/sql-server-configuration-manager.md).
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1. Under **SQL Server Services**, right-click on **SQL Server Launchpad (MSSQLSERVER)** and select **Restart**. If you using a named instance, the instance name will be shown instead of **(MSSQLSERVER)**.
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1. Under **SQL Server Services**, right-click on **SQL Server Launchpad (MSSQLSERVER)** and select **Restart**. If you use a named instance, the instance name will be shown instead of **(MSSQLSERVER)**.
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## Register language extension
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1. Use [Azure Data Studio](/azure-data-studio/what-is-azure-data-studio) to connect to your SQL Server instance and run the following T-SQL command to register the R language extension with [CREATE EXTERNAL LANGUAGE](../../../t-sql/statements/create-external-language-transact-sql.md).
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1. Use the [MSSQL extension for Visual Studio Code](../../../tools/visual-studio-code-extensions/mssql/mssql-extension-visual-studio-code.md) to connect to your SQL Server instance and run the following T-SQL command to register the R language extension with [CREATE EXTERNAL LANGUAGE](../../../t-sql/statements/create-external-language-transact-sql.md).
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Modify the path in this statement to reflect the location of the downloaded language extension zip file (**R-lang-extension-windows-release.zip**) and the location your R installation (`C:\\Program Files\\R\\R-4.0.3`).
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