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Doc: correct broken link and style guide updates
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wydsith authored Jul 10, 2024
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Expand Up @@ -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

Expand All @@ -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.

Expand All @@ -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
Expand All @@ -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
Expand All @@ -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"

Expand All @@ -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.
#
Expand All @@ -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.

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