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Three Notebooks quickstarts
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articles/notebooks/quickstart-clone-jupyter-notebook.md

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# Quickstart: Clone a notebook in Azure Notebooks Preview
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Many data scientists and developers store their notebooks in [GitHub repositories](https://github.com), a free service that provides storage and version control for many different project types. GitHub is often used as a means of collaborating on Jupyter notebooks that are run locally. In such cases, every collaborator maintains a local copy of the repository and runs the notebooks from that copy.
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In this quickstart, you copy a Jupyter notebook stored in GitHub to an Azure Notebooks account.
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Cloning creates a copy of a GitHub notebook in your Azure Notebooks account instead. This clone is independent from its original repository; changes are stored in your Azure Notebooks account only and don't affect the original. Because your clone is in the cloud, you can share the project with other collaborators who need not make any local copies or even have Jupyter installed on their own computers. You might also clone a notebook simply as a starting point for a project of your own or to obtain data files.
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GitHub repositories provide storage and version control for Jupyter notebooks. Collaborators maintain local copies of the repositories, and run the notebooks from those copies. Cloning a Jupyter notebook from GitHub into your Azure Notebooks account creates an independent copy of the notebook. Changes are stored in your Azure Notebooks account only, and don't affect the original GitHub repository.
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[!INCLUDE [notebooks-status](../../includes/notebooks-status.md)]
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Because your Azure Notebooks clone is in the cloud, you can share it with collaborators, who need not make any local copies or have Jupyter installed on their computers. You might also clone a notebook simply as a starting point for a project of your own, or to obtain data files.
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## Prerequisites
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None.
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## Clone Azure Cognitive Services notebooks
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1. Go to [Azure Notebooks](https://notebooks.azure.com) and sign in. (For details, see [Quickstart - Sign in to Azure Notebooks](quickstart-sign-in-azure-notebooks.md)).
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[!INCLUDE [notebooks-status](../../includes/notebooks-status.md)]
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1. Go to [Azure Notebooks](https://notebooks.azure.com) and sign in. For details, see [Quickstart - Sign in to Azure Notebooks](quickstart-sign-in-azure-notebooks.md).
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1. From your public profile page, select **My Projects** at the top of the page:
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## Next steps
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> [!div class="nextstepaction"]
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> [Tutorial: create an run a Jupyter notebook to do linear regression](tutorial-create-run-jupyter-notebook.md)
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> [Tutorial: Create and run a Jupyter notebook to do linear regression](tutorial-create-run-jupyter-notebook.md)

articles/notebooks/quickstart-create-share-jupyter-notebook.md

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# Quickstart: Create and share a notebook in Azure Notebooks Preview
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In this quickstart, you learn how to quickly create and run a Jupyter notebook on Azure Notebooks, then share that notebook with others.
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In this quickstart, you create and run a Jupyter notebook on Azure Notebooks, then share that notebook with others. Jupyter lets you easily combine Markdown text, executable code, persistent data, graphics, and visualizations on one sharable canvas, the notebook. Azure Notebooks is a free hosted service to develop and run Jupyter notebooks in the cloud with no installation.
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[!INCLUDE [notebooks-status](../../includes/notebooks-status.md)]
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## Prerequisites
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None.
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## Create a new project and notebook
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1. Go to the [Azure Notebooks site (https://notebooks.azure.com)](https://notebooks.azure.com) and sign in. (For details, see [Quickstart - Sign in to Azure Notebooks](quickstart-sign-in-azure-notebooks.md)).
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[!INCLUDE [notebooks-status](../../includes/notebooks-status.md)]
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1. Go to the [Azure Notebooks site (https://notebooks.azure.com)](https://notebooks.azure.com) and sign in. For details, see [Quickstart - Sign in to Azure Notebooks](quickstart-sign-in-azure-notebooks.md).
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1. From your public profile page, select **My Projects** at the top of the page:
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![My Projects link on the top of the browser window](media/quickstarts/my-projects-link.png)
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1. On the **My Projects** page, select **+ New Project** (keyboard shortcut: n); the button may appear only as **+** if the browser window is narrow:
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1. On the **My Projects** page, select **+ New Project** (keyboard shortcut: n). The button may appear only as **+** if the browser window is narrow:
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![New Project command on My Projects page](media/quickstarts/new-project-command.png)
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## Next steps
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> [!div class="nextstepaction"]
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> [Tutorial: create an run a Jupyter notebook to do linear regression](tutorial-create-run-jupyter-notebook.md)
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> [Tutorial: Create and run a Jupyter notebook to do linear regression](tutorial-create-run-jupyter-notebook.md)

articles/notebooks/quickstart-migrate-local-jupyter-notebook.md

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# Quickstart: Migrate a local Jupyter notebook in Azure Notebooks Preview
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Jupyter notebooks that you create locally on your own computer are accessible only to you. You can share your files through a variety of means, but then recipients have their own local copy of the notebook and it's difficult for you to incorporate any changes they might make. You can also store notebooks in a shared online repository such as GitHub, but doing so still requires that each collaborator has their own local Jupyter installation with the same configuration as yours.
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In this quickstart, you migrate a Jupyter notebook from your local computer or another accessible file URL to Azure Notebooks.
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By migrating your local or repository-based notebooks to Azure Notebooks, you store them in the cloud from which you can instantly share them with your collaborators. Those collaborators need only a browser to view and run your notebook, and if they [sign in](quickstart-sign-in-azure-notebooks.md) to Azure Notebooks they can also make changes.
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Jupyter notebooks on your own computer are accessible only to you. You can share your files, but recipients then have their own local copies of the notebook, and it's difficult to incorporate their changes. Even if you store notebooks in a shared online repository such as GitHub, each collaborator must have a local Jupyter installation configured like yours.
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[!INCLUDE [notebooks-status](../../includes/notebooks-status.md)]
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By migrating your local or repository-based notebooks to Azure Notebooks, you can instantly share them with your collaborators, who need only a browser to view and run your notebooks. If they sign in to Azure Notebooks, they can also make changes.
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## Prerequisites
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This Quickstart demonstrates the process of migrating a notebook from your local computer or another accessible file URL. To migrate notebooks from a GitHub repository, see [Quickstart: Clone a notebook](quickstart-clone-jupyter-notebook.md).
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- A [Jupyter notebook](https://jupyter-notebook.readthedocs.io) on your local computer or at another accessible file URL.
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## Create a project on Azure Notebooks
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This quickstart demonstrates migrating a notebook from your local computer or another accessible file URL. To migrate notebooks from a GitHub repository, see [Quickstart: Clone a notebook](quickstart-clone-jupyter-notebook.md).
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[!INCLUDE [notebooks-status](../../includes/notebooks-status.md)]
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1. Go to [Azure Notebooks](https://notebooks.azure.com) and sign in. (For details, see [Quickstart - Sign in to Azure Notebooks](quickstart-sign-in-azure-notebooks.md)).
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1. From your public profile page, select **My Projects** at the top of the page:
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![My Projects link on the top of the browser window](media/quickstarts/my-projects-link.png)
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1. On the **My Projects** page, select **+ New Project** (keyboard shortcut: n); the button may appear only as **+** if the browser window is narrow:
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1. On the **My Projects** page, select **New Project** (keyboard shortcut: n). The button may appear only as **+** if the browser window is narrow:
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![New Project command on My Projects page](media/quickstarts/new-project-command.png)
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![Command to upload a notebook from a URL or the local computer](media/quickstarts/upload-from-computer-url-command.png)
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(Again, if your notebook is in a GitHub repository, follow the steps on [Quickstart: Clone a notebook](quickstart-clone-jupyter-notebook.md) instead.)
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Again, if your notebook is in a GitHub repository, follow the steps on [Quickstart: Clone a notebook](quickstart-clone-jupyter-notebook.md) instead.
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- If using **From Computer**, drag and drop your *.ipynb* files into the popup, or select **Choose Files**, then browse to and select the files you want to import. Then select **Upload**. The uploaded files are given the same name as the local files. (You don't need to upload the contents of any *.ipynb_checkpoints* folders.)
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- If using **From Computer**, drag and drop your *.ipynb* files into the popup, or select **Choose Files**, then browse to and select the files you want to import. Then select **Upload**. The uploaded files are given the same name as the local files. You don't need to upload the contents of any *.ipynb_checkpoints* folders.
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![Upload from computer popup](media/quickstarts/upload-from-computer-popup.png)
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- If using **From URL**, enter the source address in the **File URL** field and the filename to assign to the notebook in your project in the **File Name** field. Then select **Upload**. If you have multiple files with separate URLs, use the **+ Add File** command to check the first URL you entered, after which the popup provides new fields for another file.
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- If using **From URL**, enter the source address in the **File URL** field and the filename to assign to the notebook in your project in the **File Name** field. Then select **Upload**. If you have multiple files with separate URLs, use the **Add File** command to check the first URL you entered, after which the popup provides new fields for another file.
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![Upload from URL popup](media/quickstarts/upload-from-url-popup.png)
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## Next steps
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> [!div class="nextstepaction"]
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> [Tutorial: create an run a Jupyter notebook to do linear regression](tutorial-create-run-jupyter-notebook.md)
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> [Tutorial: Create and run a Jupyter notebook to do linear regression](tutorial-create-run-jupyter-notebook.md)

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