Update documentation

_sources/notebooks/chapter_00/chap_00_notebook.ipynb

@@ -123,7 +123,7 @@
     "\n",
     "````{margin}\n",
     "```{note}\n",
-    "If you already have a Jupyter notebook (.ipynb extension) in your Google Drive, opening it by double clicking it will somtimes installs the Google Colab add-on automatically. This, of course, requires that you already have a Jupyter notebook from some other source.\n",
+    "If you already have a Jupyter notebook (.ipynb extension) in your Google Drive, opening it by double clicking it will somtimes install the Google Colab add-on automatically. This, of course, requires that you already have a Jupyter notebook from some other source.\n",
     "```\n",
     "````\n",
     "````{margin}\n",
@@ -263,7 +263,7 @@
     "| 1. Item         | Numbered list item |\n",
     "| \\[link](www.python.org) | URL link |\n",
     "\n",
-    "One difference between writing code in a code cell versus a markdown cell is that code cells color the text based on the syntax or the role the text plays in the code, known as *syntax highlighting*, and markdown cells don't. It would be like if a word processor colored nouns gray, verbs orange, prepositions blue, and punctuation marks red so that reader can see the role each word or symbol plays in a sentence. If you want to include example text in a markdown cell with syntax highlighting, place `~~~python` in the line above the code and `~~~` in the line below the code."
+    "One difference between writing code in a code cell versus a markdown cell is that code cells color the text based on the syntax or the role the text plays in the code, known as *syntax highlighting*, and markdown cells do not. It would be like if a word processor colored nouns gray, verbs orange, prepositions blue, and punctuation marks red so that reader can see the role each word or symbol plays in a sentence. If you want to include example text in a markdown cell with syntax highlighting, place `~~~python` in the line above the code and `~~~` in the line below the code."
    ]
   },
   {
@@ -378,14 +378,6 @@
     "4. IPython Interactive Computing Website. [https://ipython.org](https://ipython.org/) (free resource)\n",
     "5. VanderPlas, J. Python data Science Handbook: Essential Tools for Working with Data, 1st ed.; O’Reilly: Sebastopol, CA, 2017, chapter 1. Freely available from the author at [https://jakevdp.github.io/PythonDataScienceHandbook/](https://jakevdp.github.io/PythonDataScienceHandbook/) (free resource)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d720d826-4ffd-45a0-8d89-a2b4d2ac64c4",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {