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adding css rule for logo and fixing some ref links

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This commit is contained in:
Chris Holdgraf
2018-08-11 11:45:36 -07:00
committed by yuvipanda
parent e2df502093
commit 295b0683a2
9 changed files with 16 additions and 13 deletions
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4
docs/howto/admin/resource-estimation.rst
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@@ -1,4 +1,4 @@
.. _howto/resource-estimation:
.. _howto/admin/resource-estimation:
===================================
Estimate Memory / CPU / Disk needed
@@ -40,7 +40,7 @@ Maximum memory allowed per user
Depending on what kinda work your users are doing, they will use different amounts
of memory. The easiest way to determine this is to run through a typical user
workflow yourself, and measure how much memory is used. You can use :ref:`howto/nbresuse`
workflow yourself, and measure how much memory is used. You can use :ref:`howto/admin/nbresuse`
to determine how much memory your user is using.
A good rule of thumb is to take the maximum amount of memory you used during

8
docs/howto/content/add-data.rst
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@@ -6,14 +6,14 @@ Adding data to the JupyterHub
This section covers how to add data to your JupyterHub either from the internet
or from your own machine. To learn how to **share data** that is already
on your JupyterHub, see :ref:`_howto/content/share-data`.
on your JupyterHub, see :ref:`howto/content/share-data`.
.. note::
When you add data using the methods on this page, you will **only add it
to your user directory**. This is not a place that is accessible to others.
For information on sharing this data with users on the JupyterHub, see
:ref:`_howto/content/share-data`.
:ref:`howto/content/share-data`.
Adding data from your local machine
===================================
@@ -37,7 +37,7 @@ interface. To do so, follow these steps:
be on your JupyterHub, your home user's home directory.
To learn how to **share** this data with new users on the JupyterHub,
see :ref:`_howto/content/share-data`.
see :ref:`howto/content/share-data`.
Downloading data from the command line
======================================
@@ -90,6 +90,6 @@ time. You can download it from your browser `at this link <https://swcarpentry.g
#. Confirm that your data was unzipped. It could be in a folder called ``data/``.
To learn how to **share** this data with new users on the JupyterHub,
see :ref:`_howto/content/share-data`.
see :ref:`howto/content/share-data`.
.. TODO: Downloading data with the "download" module in Python? https://github.com/choldgraf/download

2
docs/howto/content/share-data.rst
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@@ -16,7 +16,7 @@ contained in the link's target repository is downloaded to the user's home
directory. Note that a copy of the dataset will be made for each user.
For information on creating and sharing ``nbgitpuller`` links, see
:ref:`tutorials/nbgitpuller`.
:ref:`howto/content/nbgitpuller`.
Option 2: Create a read-only shared folder for data
===================================================

2
docs/howto/envt/user-environment.rst
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@@ -6,7 +6,7 @@ Install conda, pip or apt packages
:abbr:`TLJH (The Littlest JupyterHub)` starts all users in the same `conda <https://conda.io/docs/>`_
environment. Packages / libraries installed in this environment are available
to all users on the JupyterHub. Users with :ref:`admin rights <howto/admin-users>` can install packages
to all users on the JupyterHub. Users with :ref:`admin rights <howto/admin/admin-users>` can install packages
easily.
.. _howto/envt/user_environment_pip: