Add terms for Jupyter

foundations/getting-started-jupyter.ipynb

@@ -2,20 +2,18 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "metadata": {
-    "id": "RYdHzMOHLr1U"
-   },
+   "metadata": {},
    "source": [
-    "<img src=\"https://jupyter.org/assets/homepage/main-logo.svg\" width=\"200px\"></img>"
+    "# Getting Started with Jupyter"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
-    "id": "382TcknGLr1V"
+    "id": "RYdHzMOHLr1U"
    },
    "source": [
-    "# Getting Started with Jupyter"
+    "<img src=\"https://jupyter.org/assets/homepage/main-logo.svg\" width=\"200px\"></img>"
    ]
   },
   {
@@ -189,6 +187,34 @@
     "- [Jupyter Documentation](https://jupyter.org/)\n",
     "- [Xdev Python Tutorial Seminar Series - Jupyter Notebooks](https://youtu.be/xSzXvwzFsDU)"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Glossary\n",
+    "\n",
+    ":::{glossary}\n",
+    "Jupyter Notebooks\n",
+    ":   The Jupyter Notebook software is an open-source web application that allows you to create and share Jupyter Notebooks (*.ipynb files). Jupyter Notebooks contain executable code, LaTeX equations, visualizations (e.g., plots, pictures), and narrative text. The code does not have to just be Python, other languages such as Julia or R are supported as well. Jupyter Notebooks are celebrated for their interactive output that allows movement between code, code output, explanations, and more code - similar to how scientists think and solve problems. Jupyter Notebooks can be thought of as a living, runnable publication and make for a great presentation platform. See also {term}`Jupyter Kernels`, {term}`Jupyter Lab`, {term}`Jupyter Hub`, {term}`Binder`, and {term}`BinderHub`.\n",
+    "\n",
+    "Jupyter Kernels\n",
+    ":   Software engines and their environments (e.g., conda environments) that execute the code contained in {term}`Jupyter Notebooks`.\n",
+    "\n",
+    "Jupyter Lab\n",
+    ":   A popular web application on which users can create and write their {term}`Jupyter Notebooks`, as well as explore data, install software, etc. You can find more information on running Jupyter Lab [here](https://jupyter.org/install).\n",
+    "\n",
+    "Jupyter Hub\n",
+    ":   A web-based platform that authenticates users and launches {term}`Jupyter Lab` applications for users on remote systems.\n",
+    "\n",
+    "Binder\n",
+    ":   An open-source service that allows users to create sharable, interactive computing environments from {term}`Jupyter Notebooks` and other repositories. Binder can reproduce a computational environment directly from a GitHub repository, providing a seamless way to share and interact with code and data. \n",
+    ": The public service to run Binder is on <https://mybinder.org>, which is running {term}`BinderHub`. ProjectPythia \n",
+    "\n",
+    "BinderHub\n",
+    ":   The underlying technology and infrastructure that powers {term}`Binder`. BinderHub deploys and manages the interactive computing environments for {term}`Jupyter Notebooks`, ensuring that users can access and share reproducible computational work.\n",
+    ":::"
+   ]
   }
  ],
  "metadata": {