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articles/machine-learning/how-to-run-jupyter-notebooks.md

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@@ -38,11 +38,14 @@ To create a new notebook:
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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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2. Select the **Create new file** icon on the top of the File Explorer Pane.
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3. Name the file.
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4. For Jupyter Notebook Files, select **Python Notebook** as the file type.
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5. Select a file directory.
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6. Select **Create**.
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1. Select the **Create new file** icon above the list **User files** in the **My files** section.
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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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1. Name the file.
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1. For Jupyter Notebook Files, select **Python Notebook** as the file type.
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1. Select a file directory.
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1. Select **Create**.
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> [!TIP]
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> You can create text files as well. Select **Text** as the file type and add the extension to the name (for example, myfile.py or myfile.txt)
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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 any notebook located in the **User files** section on the left-hand side. If you don't have any notebooks there, first [create a notebook](#create)
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1. Select **Terminal** in the Notebook toolbar.
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1. Select a **Compute** target or create a new one and wait until it is running.
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1. Select the **...** to the right of the compute target.
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1. Select **Open terminal** .
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:::image type="content" source="media/how-to-run-jupyter-notebooks/open-terminal.png" alt-text="Open terminal":::
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Learn more about [cloning Git repositories into your workspace file system](concept-train-model-git-integration.md#clone-git-repositories-into-your-workspace-file-system).
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Azure Machine Learning creates a checkpoint file when you create an *ipynb* file.
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Select **...>File>Save** in the notebook toolbar to manually save the notebook. The save also updates the checkpoint file associated with the notebook.
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In the notebook toolbar, select the menu and then **File>Save** to manually save the notebook. The save also updates the checkpoint file associated with the notebook.
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:::image type="content" source="media/how-to-run-jupyter-notebooks/file-save.png" alt-text="Save a notebook":::
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Every notebook is autosaved every 30 seconds. Autosaves update only the initial *ipynb* file, not the checkpoint file.
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