Updates from code review

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
 

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.

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