zhangyiss/the-littlest-jupyterhub
1
0
Fork 0
mirror of https://github.com/jupyterhub/the-littlest-jupyterhub.git synced 2025-12-18 21:54:05 +08:00
Code Issues Packages Projects Releases Wiki Activity

update jetstream tutorial with links, minor fixes

Browse Source
This commit is contained in:
C. Titus Brown
2018-07-04 07:25:08 -07:00
parent 8a229963d6
commit 54b8a395f6
1 changed files with 17 additions and 14 deletions
Download Patch File Download Diff File Expand all files Collapse all files

29
docs/tutorials/jetstream.rst
View File

@@ -1,6 +1,6 @@
.. _tutorial_quickstart_jetstream:
Tutorial: JupyterHub on JetStream
Tutorial: JupyterHub on Jetstream
=================================
Goal
@@ -8,12 +8,12 @@ Goal
By the end of this tutorial, you should have a JupyterHub with some admin
users and a user environment with packages you want installed running on
`JetStream <https://jetstream-cloud.org/>`_.
`Jetstream <https://jetstream-cloud.org/>`_.
Pre-requisites
--------------
Prerequisites
-------------
#. A JetStream account with an allocation.
#. A Jetstream account with an XSEDE allocation; for more information, `go to the Jetstream Allocations help page <http://wiki.jetstream-cloud.org/Jetstream+Allocations>`__.
#. Some familiarity with the command line.
Step 1: Installing The Littlest JupyterHub
@@ -21,7 +21,7 @@ Step 1: Installing The Littlest JupyterHub
Let's create the server on which we can run JupyterHub.
#. Log in to `JetStream <https://jetstream-cloud.org/>`_.. You need an allocation
#. Log in to `the Jetstream portal <https://use.jetstream-cloud.org/>`_. You need an allocation
to launch instances.
#. Select the **Launch New Instance** option to get going.
@@ -51,7 +51,7 @@ Let's create the server on which we can run JupyterHub.
:alt: Launch an Instance / Basic Options dialog box
#. Give your server a descriptive **Instance Name**.
#. Select an appropriate **Instance Size**.
#. Select an appropriate **Instance Size**. We suggest m1.medium or larger.
#. If you have multiple allocations, make sure you are 'charging' this server
to the correct allocation.
@@ -123,8 +123,8 @@ Let's create the server on which we can run JupyterHub.
#. Congratulations, you have a running working JupyterHub!
Step 2: Addding more users
--------------------------
Step 2: Adding more users
-------------------------
Most administration & configuration of the JupyterHub can be done from the
web UI directly. Let's add a few users who can log in!
@@ -163,6 +163,9 @@ web UI directly. Let's add a few users who can log in!
to the JupyterHub! When they log in for the first time, they can set their
password - and use it to log in again in the future.
**Note**: These users will be added as UNIX users on the underlying
Jetstream instance, too, and admin users will have ``sudo`` privileges.
Congratulations, you now have a multi user JupyterHub that you can add arbitrary
users to!
@@ -179,22 +182,22 @@ with ``sudo -E``.
.. image:: ../images/notebook/new-terminal-button.png
:alt: New Terminal button under New menu
#. Install `gdal <https://anaconda.org/conda-forge/gdal>`_ from `conda-forge <https://conda-forge.org/>`_.
#. For example, try installing `gdal <https://anaconda.org/conda-forge/gdal>`_ from `conda-forge <https://conda-forge.org/>`_.
.. code-block:: bash
sudo -E conda install -c conda-forge gdal
sudo -E conda install -y -c conda-forge gdal
The ``sudo -E`` is very important!
#. Install ``there`` with ``pip``
#. Alternatively, try installing `there <https://pypi.org/project/there/>`_ with ``pip``.
.. code-block:: bash
sudo -E pip install there
The packages ``gdal`` and ``there`` are now available to all users in JupyterHub.
If a user already had a python notebook running, they have to restart their notebook's
If a user already had a python notebook running, they need to restart their notebook's
kernel to make the new libraries available.
See :ref:`user_environment` for more information.