Merge pull request #375 from rstudio/ak_jupyterconfig374

Doc: correct broken link and style guide updates

Author: wydsith

docs/docs/index.md

@@ -4,7 +4,7 @@ Please use [`rsconnect-python`](https://github.com/posit-dev/rsconnect-python) t
 
 # `rsconnect-jupyter` User Guide
 
-The `rsconnect-jupyter` package is a _Jupyter Notebook_ extension (i.e., `nbextension`) that provides publishing compatibility with [Posit Connect](https://docs.posit.co/connect).
+The `rsconnect-jupyter` package is a Jupyter Notebook extension (i.e., `nbextension`) that provides publishing compatibility with [Posit Connect](https://docs.posit.co/connect).
 
 ## Requirements
 
@@ -14,18 +14,18 @@ The `rsconnect-jupyter` package is a _Jupyter Notebook_ extension (i.e., `nbexte
 - [Posit Connect](https://www.posit.co/download/posit-connect/) ([supported versions](https://posit.co/support/#supported-connect-versions))
 
 !!! Warning
-    This extension is **NOT** compatible with _JupyterLab_. Only _Jupyter Notebooks_, and associated runtime environments, such as _JupyterHub_, are supported.
+    This extension is *not* compatible with JupyterLab. Only Jupyter Notebook, and associated runtime environments, such as JupyterHub, are supported.
 
 !!! Warning
-    In order to publish to _Posit Connect_, a compatible Python environment must in exist on the _Posit Connect_ instance. See the _Posit Connect_ documentation on [Python integrations](https://docs.posit.co/connect/admin/python/) for additional information.
+    In order to publish to Posit Connect, a compatible Python environment must in exist on the Connect instance. See the Connect documentation on [Python integrations](https://docs.posit.co/connect/admin/python/) for additional information.
 
 ## Installation
 
 --8<-- "snippets/install.md"
 
-## Environment Configuration
+## Environment configuration
 
-### Localhost (Your Computer)
+### Localhost (your computer)
 
 For localhost installation, a Python virtual environment is recommended to isolate runtime dependencies. There are various Python virtual environments available. The following tutorial covers a few of them.
 
@@ -43,7 +43,7 @@ conda install -c conda-forge jupyter rsconnect-jupyter
 Next, following the [installation guide](#installation).
 
 !!! Tip
-    When creating a _Conda_ virtual environment, a specific Python version may be specified. Create your virtual environment with a Python environment that is available on your Posit Connect server.
+    When creating a Conda virtual environment, a specific Python version may be specified. Create your virtual environment with a Python environment that is available on your Posit Connect server.
 
     <div class="code-title">Terminal</div>
     ```shell
@@ -52,9 +52,9 @@ Next, following the [installation guide](#installation).
 
 !!! Note
 
-    If _Anaconda_ is used, then _Jupyter Notebook_ launches with kernel environments for each existing Conda environment. Follow the [installation guide](#installation) for each kernel/Conda-environment to enable `rsconnect-jupyter`.
+    If Anaconda is used, then Jupyter Notebook launches with kernel environments for each existing Conda environment. Follow the [installation guide](#installation) for each kernel/Conda-environment to enable `rsconnect-jupyter`.
 
-#### Python Virtual Environment ([venv](https://docs.python.org/3/library/venv.html))
+#### Python virtual environment ([venv](https://docs.python.org/3/library/venv.html))
 
 <div class="code-title">Terminal</div>
 ```shell
@@ -69,20 +69,20 @@ Next, following the [installation guide](#installation).
 
 ### JupyterHub
 
-Follow the [installation guide](#installation) to install and enable `rsconnect-jupyter` in _JupyterHub_.
+Follow the [installation guide](#installation) to install and enable `rsconnect-jupyter` in JupyterHub.
 
 If you've configured separate kernel environments, repeat the installation guide for each kernel environment.
 
 !!! Note
-    The exact install location depends on your _JupyterHub_ configuration.
+    The exact install location depends on your JupyterHub configuration.
 
-#### Quick Start Example
+#### Quick start example
 
-The following example shows how to launch a Docker container running _JupyterHub_ with the `rsconnect-jupyter` extension installed.
+The following example shows how to launch a Docker container running JupyterHub with the `rsconnect-jupyter` extension installed.
 
 !!! Warning
 
-    This configuration is **NOT** intended for production usage. This is a minimal working configuration designed to highlight `rsconnect-jupyter` configuration.
+    This configuration is *not* intended for production usage. This is a minimal working configuration designed to highlight `rsconnect-jupyter` configuration.
 
 !!! Example "Docker Example"
 
@@ -100,7 +100,7 @@ The following example shows how to launch a Docker container running _JupyterHub
     RUN python3 -m jupyter nbextension enable --sys-prefix --py rsconnect_jupyter
     RUN python3 -m jupyter serverextension enable --sys-prefix --py rsconnect_jupyter
 
-    # Create a new user called "username" with the password "password"
+    # Create a new user called "username" with the password "password".
     #
     # Use these credentials when logging into JupyterHub.
     #
@@ -126,21 +126,21 @@ The following example shows how to launch a Docker container running _JupyterHub
     docker run --rm -p 8000:8000 --name jupyterhub jupyterhub:rsconnect-jupyter
     ```
 
-    Once executed, a series of startup logs will be shown. Wait for the log message: `JupyterHub is now running at http://:8000`.
+    Once executed, a series of startup logs are shown. Wait for the log message: `JupyterHub is now running at http://:8000`.
 
-    Once shown, the _JupyterHub_ server is running on your local machine. To access _JupyterHub_ procceed with the following steps:
+    Once shown, the JupyterHub server is running on your local machine. To access JupyterHub, proceed with the following steps:
 
     1. Open [http://localhost:8000](http://localhost:8000) in your browser.
-    1. Login to using the credentials "username" and "password". These credentials match the credentials set in the Dockerfile and may be changed.
-    1. Select the "New" dropdown menu and select "Python 3 (pykernal)".
+    1. Login to using the credentials "username" and "password". These credentials match the credentials set in the Dockerfile and can be changed.
+    1. Select the **New** dropdown menu and select **Python 3 (pykernal)**.
     1. Next, follow the [usage guide](./usage).
 
     !!! Warning
 
-        At the time of writing, the `jupyterhub/jupyterhub:3` Docker image is built using Python version 3.10.6. Therefore, in order to publish to Posit Connect, a compatible Python version 3.10 environment must exist in Posit Connect.
+        At the time of writing, the `jupyterhub/jupyterhub:3` Docker image is built using Python version 3.10.6. Therefore, in order to publish to Posit Connect, a compatible Python version 3.10 environment must exist in Connect.
 
 ### Posit Workbench
 
-[Posit Workbench](https://docs.posit.co/ide/server-pro/) supports _Jupyter Notebook_ sessions. See the [Jupyter Configuration](https://docs.posit.co/ide/server-pro/jupyter-sessions/configuration.html) guide to configure _Jupyter Notebook_ sessions.
+[Posit Workbench](https://docs.posit.co/ide/server-pro/) supports Jupyter Notebook sessions. See the [Jupyter Configuration](https://docs.posit.co/ide/server-pro/jupyter_sessions/configuration.html) guide to configure Jupyter Notebook sessions.
 
 Once enabled, follow the [installation guide](#installation) to install and enable the `rsconnect-jupyter` plugin for each Jupyter kernel.