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Crosslink from Tutorial to Guide & add another image
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@@ -1,3 +1,5 @@
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.. _admin_access:
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Administrative Access
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Administrative Access
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---------------------
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---------------------
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docs/images/control_panel_button.png
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docs/images/control_panel_button.png
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docs/images/new_terminal_button.png
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@@ -31,6 +31,9 @@ This takes about 1-3 minutes to finish. When completed, you can visit the
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public IP of your server to use your JupyterHub! You can log in with any username
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public IP of your server to use your JupyterHub! You can log in with any username
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and password combination.
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and password combination.
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If this method of installing software makes you nervous, see :ref:`installation`
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for other advanced installation methods.
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Step 2: Add admin user
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Step 2: Add admin user
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----------------------
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----------------------
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@@ -78,7 +81,15 @@ let the changes take effect.
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.. image:: ../images/control_panel_button.png
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.. image:: ../images/control_panel_button.png
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:alt: Control Panel button on top right of Notebook interface
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:alt: Control Panel button on top right of Notebook interface
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4. Open a terminal in your notebook server (New -> Terminal) & check if sudo works.
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4. Open a terminal in your notebook server (New -> Terminal). Jupyter Notebook
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has a fullly functional web terminal that can be used for most of the administration
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of TLJH.
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.. image:: ../images/new_terminal_button.png
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:alt: New Terminal button under New menu
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5. In the terminal, check if we can perform actions as ``root``, using the ``sudo``
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command.
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.. code-block:: console
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.. code-block:: console
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@@ -87,7 +98,7 @@ let the changes take effect.
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Congratulations, you are now an admin user in JupyterHub! Most administrative
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Congratulations, you are now an admin user in JupyterHub! Most administrative
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actions can now be performed from inside the Terminal in Jupyter Notebooks,
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actions can now be performed from inside the Terminal in Jupyter Notebooks,
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without requiring SSH usage.
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without requiring SSH usage. See :ref:`admin_access` for more information.
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Step 3: Install conda / pip packages for all users
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Step 3: Install conda / pip packages for all users
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--------------------------------------------------
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--------------------------------------------------
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