From 979b36c4d1b2ea741123badff0d39ae99b80d100 Mon Sep 17 00:00:00 2001 From: Michael Date: Sun, 14 Apr 2019 21:25:38 +0100 Subject: [PATCH] Updates from code review --- docs/contributing/docs.rst | 2 +- docs/howto/admin/resource-estimation.rst | 2 +- docs/install/amazon.rst | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/contributing/docs.rst b/docs/contributing/docs.rst index b8f6ae8..9480889 100644 --- a/docs/contributing/docs.rst +++ b/docs/contributing/docs.rst @@ -60,7 +60,7 @@ Then from the ``docs`` directory, build the HTML: $ make html -If you encounter this error, it's likely that running it in virtual environment is your problem. +If you encounter this error, it's likely that you are running inside a virtual environment. .. code-block:: console diff --git a/docs/howto/admin/resource-estimation.rst b/docs/howto/admin/resource-estimation.rst index b9d3bc1..74bd077 100644 --- a/docs/howto/admin/resource-estimation.rst +++ b/docs/howto/admin/resource-estimation.rst @@ -62,7 +62,7 @@ stop, unlike with RAM. Recommended\, CPU = (Max\, concurrent\, users \times Max\, CPU\, usage\, per\, user) + 20\% The ``20%`` is overhead for TLJH and related services. This is around 20% of a -single modern CPU. This of course is just an estimate. We recommend using +single modern CPU. This, of course, is just an estimate. We recommend using the same process used to estimate Memory required for estimating CPU required. You cannot use nbresuse for this, but you should carry out normal workflow and investigate the CPU usage on the machine. diff --git a/docs/install/amazon.rst b/docs/install/amazon.rst index 79cc0e6..184fd79 100644 --- a/docs/install/amazon.rst +++ b/docs/install/amazon.rst @@ -87,7 +87,7 @@ Let's create the server on which we can run JupyterHub. **t2.micro** tier, which is free for Amazon users the first year they sign up. Two users were able to concurrently utilize this development hub without issue.) - `GPU graphics` and `GPU compute` products are also available around half way down the page + ``GPU graphics`` and ``GPU compute`` products are also available around half way down the page #. Under **Step 3: Configure Instance Details**, scroll to the bottom of the page and toggle the arrow next to **Advanced Details**. Scroll down to 'User data'. Copy