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

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ms.service: machine-learning
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ms.subservice: core
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ms.topic: how-to
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ms.date: 02/05/2021
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ms.date: 12/13/2022
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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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* 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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## <a name="create"></a> Create files
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## Create files
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To create a new file in your default folder (`Users > yourname`):
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1. Open your workspace in [Azure Machine Learning studio](https://ml.azure.com).
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1. On the left side, select **Notebooks**.
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1. Select the **+** image.
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1. Select the **Create new file** image.
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1. Select the **+** tool.
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1. Select **Create new file**.
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:::image type="content" source="media/how-to-run-jupyter-notebooks/create-new-file.png" alt-text="Create new file":::
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:::image type="content" source="media/how-to-run-jupyter-notebooks/create-new-file.png" alt-text="Create new file" lightbox="media/how-to-run-jupyter-notebooks/create-new-file.png":::
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1. Name the file.
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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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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 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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## Clone samples
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Your workspace contains a **Sample notebooks** 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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For an example, see [Tutorial: Create your first ML experiment](tutorial-train-deploy-notebook.md#azure).
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For an example, see [Quickstart: Run Jupyter notebooks in studio](quickstart-run-notebooks.md#clone-tutorials-folder).
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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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## Delete a file
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You *can't* delete the **Sample notebooks** 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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* [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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* [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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