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description: Learn how create and manage files in your workspace in Azure Machine Learning studio.
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description: In this article, you learn how create and manage files in your workspace in Azure Machine Learning studio.
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services: machine-learning
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author: sdgilley
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ms.author: sgilley
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ms.reviewer: kritifaujdar
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ms.service: azure-machine-learning
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ms.subservice: core
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ms.topic: how-to
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ms.date: 03/25/2024
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ms.date: 09/03/2024
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#Customer intent: As a data scientist, I want to create and manage the files in my workspace in Azure Machine Learning studio.
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---
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# How to create and manage files in your workspace
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Learn how to create and manage the files in your Azure Machine Learning workspace. These files are stored in the default workspace storage. Files and folders can be shared with anyone else with read access to the workspace, and can be used from any compute instances in the workspace.
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Learn how to create and manage the files in your Azure Machine Learning workspace. These files are stored in the default workspace storage. Files and folders can be shared with anyone else with read access to the workspace, and can be used from any compute instances in the workspace.
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## Prerequisites
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* An Azure subscription. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/) before you begin.
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* A Machine Learning workspace. [Create workspace resources](quickstart-create-resources.md).
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## Create files
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> [!TIP]
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> This article shows how to manage files inside Azure Machine Learning studio. You can also connect to your workspace files from Visual Studio Code. To connect to your workspace files from VS Code, see [Work in VS Code remotely connected to a compute instance](how-to-work-in-vs-code-remote.md).
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## Create files in studio
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To create a new file in your default folder (`Users > yourname`):
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@@ -37,28 +40,28 @@ To create a new file in your default folder (`Users > yourname`):
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1. Select a file type.
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1. Select **Create**.
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Notebooks and most text file types display in the preview section. Most other file types don't have a preview.
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Notebooks and most text file types display in the preview section. Most other file types don't have a preview.
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> [!TIP]
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> If you don't see the correct preview for a notebook, make sure it has `.ipynb` as its extension. Hover over the filename in the list to select **...** if you need to rename the file.
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> If you don't see the correct preview for a notebook, make sure it has `.ipynb` as its extension. Hover over the filename in the list to select **...** if you need to rename the file.
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To create a new file in a different folder:
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1. Select the "..." at the end of the folder.
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1. Select **Create new file**.
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> [!IMPORTANT]
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> Content in notebooks and scripts can potentially read data from your sessions and access data without your organization in Azure. Only load files from trusted sources. For more information, see [Secure code best practices](concept-secure-code-best-practice.md#azure-machine-learning-studio-notebooks).
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> Content in notebooks and scripts can potentially read data from your sessions and access data without your organization in Azure. Only load files from trusted sources. For more information, see [Secure code best practices](concept-secure-code-best-practice.md#azure-machine-learning-studio-notebooks).
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## Customize your file editing experience
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In the Azure Machine Learning studio file editor, you can customize your editing experience with Command Palette and relevant keyboard shortcuts. When you invoke the Command Palette, you will see a selectable list of many options to customize your editing experience.
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In the Azure Machine Learning studio file editor, you can customize your editing experience with Command Palette and relevant keyboard shortcuts. When you invoke the Command Palette, you see a selectable list of many options to customize your editing experience.
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:::image type="content" source="media/how-to-manage-files/command-palette.png" alt-text="Screenshot shows command palette in file editor.":::
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To invoke the Command Palette on a file, either use **F1** or right-select anywhere in the editing space and select **Command Palette** from the menu.
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For example, choose "Indent using spaces" if you want your editor to auto-indent with spaces instead of tabs. Take a few moments to explore the different options you have in the Command Palette.
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For example, choose "Indent using spaces" if you want your editor to autoindent with spaces instead of tabs. Take a few moments to explore the different options you have in the Command Palette.
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## Manage files with Git
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## Clone samples
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Your workspace contains a **Samples** folder with notebooks designed to help you explore the SDK and serve as examples for your own machine learning projects. Clone these notebooks into your own folder to run and edit them.
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Your workspace contains a **Samples** folder with notebooks designed to help you explore the SDK and serve as examples for your own machine learning projects. Clone these notebooks into your own folder to run and edit them.
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## Share files
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Copy and paste the URL to share a file. Only other users of the workspace can access this URL. Learn more about [granting access to your workspace](how-to-assign-roles.md).
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Copy and paste the URL to share a file. Only other users of the workspace can access this URL. Learn more about [granting access to your workspace](how-to-assign-roles.md).
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## Delete a file
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You *can't* delete the **Samples** files. These files are part of the studio and are updated each time a new SDK is published.
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You *can't* delete the **Samples** files. These files are part of the studio and are updated each time a new SDK is published.
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You *can* delete files found in your **Files** section in any of these ways:
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* In the studio, select the **...** at the end of a folder or file. Make sure to use a supported browser (Microsoft Edge, Chrome, or Firefox).
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* In the studio, select the **...** at the end of a folder or file. Make sure to use a supported browser (Microsoft Edge, Chrome, or Firefox).
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*[Use a terminal](how-to-access-terminal.md) from any compute instance in your workspace. The folder **~/cloudfiles** is mapped to storage on your workspace storage account.
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* In either Jupyter or JupyterLab with their tools.
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## Next steps
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## Related content
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*[Run Jupyter notebooks in your workspace](how-to-run-jupyter-notebooks.md)
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*[Access a compute instance terminal in your workspace](how-to-access-terminal.md)
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