minor update to chapter 1 intro

Author: duchaba2

Chapter_1/data_augmentation_with_python_chapter_1.ipynb

@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyO20h+Op0dHnh+NC4tIIUcB",
+      "authorship_tag": "ABX9TyMQ+1o267nUQYSR0kPcdzHU",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -38,7 +38,7 @@
         "\n",
         "I am glad to see you using this Python Notebook. 🐕\n",
         "\n",
-        "The Python Notebook is an integral part of the book. You can add new “code cells” to extend the functions, add your data, and explore new possibilities, such as downloading additional real-world datasets from the Kaggle website and coding the **Fun challenges**. The **Fun facts**, in-depth discussion of the augmentation methods and Pluto, and an imaginary Siberian Huskey coding companion will guide you step by step. Pluto encourages adding “text cells” to keep your note in the Python Notebook. In other words, read the book and copy the relevant concept to this Python Notebook’s text-cells. Thus, you can have the information, the code, and idea in one place. \n",
+        "The Python Notebook is an integral part of the book. You can add new “code cells” to extend the functions, add your data, and explore new possibilities, such as downloading additional real-world datasets from the Kaggle website and coding the **Fun challenges**. The **Fun facts**, an in-depth discussion of the augmentation methods, and Pluto, an imaginary Siberian Huskey coding companion, will guide you step by step. Pluto encourages adding “text cells” to keep your note in the Python Notebook. In other words, read the book and copy the relevant concept to this Python Notebook’s text-cells. Thus, you can have the explanation, note, original code, your code, and any crazy future ideas in one place.  \n",
         "\n",
         "\n",
         "💗 I hope you enjoy reading the book and hacking code as much as I enjoy writing it. \n",
@@ -51,6 +51,10 @@
         "- The book is available on the Amazon Book website: \n",
         "  - https://www.amazon.com/dp/1803246456\n",
         "\n",
+        "  - Author: Duc Haba\n",
+        "  - Published: 2023\n",
+        "  - Page count: 390+\n",
+        "\n",
         "\n",
         "- The original Python Notebook is on: \n",
         "  - https://github.com/PacktPublishing/Data-Augmentation-with-Python/blob/main/Chapter_1/data_augmentation_with_python_chapter_1.ipynb \n",