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articles/machine-learning/how-to-manage-workspace.md

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@@ -78,7 +78,7 @@ You can create a workspace [directly in Azure Machine Learning studio](./quickst
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[!notebook-python[](~/azureml-examples-main/sdk/python/resources/workspace/workspace.ipynb?name=basic_ex_workspace_name)]
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* **(Preview) Use existing hub workspace**. Instead of creating a default workspace with its own security settings and [associated resources](concept-workspace.md#associated-resources), you can reuse a [hub workspace](concept-hub-workspace.md)'s shared environment. Your new 'project' workspace obtains security settings and shared configurations from the hub including compute and connections. This example assumes that the hub workspace already exists.
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* **Use existing hub workspace**. Instead of creating a default workspace with its own security settings and [associated resources](concept-workspace.md#associated-resources), you can reuse a [hub workspace](concept-hub-workspace.md)'s shared environment. Your new 'project' workspace obtains security settings and shared configurations from the hub including compute and connections. This example assumes that the hub workspace already exists.
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```python
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from azure.ai.ml.entities import Project
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1. Provide a friendly name for displaying your workspace in Studio.
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1. (Preview) Optionally, select a [hub workspace](concept-hub-workspace.md), to host your workspace in a shared environment for your team, with preconfigured security, access to company resources, and shared compute.
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1. Optionally, select a [hub workspace](concept-hub-workspace.md), to host your workspace in a shared environment for your team, with preconfigured security, access to company resources, and shared compute.
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:::image type="content" source="media/concept-hub-workspace/project-workspace-create.png" alt-text="Screenshot of creating a workspace using hub in Azure Machine Learning studio.":::
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