apply nbstripout

Author: khuyentran1401

Chapter7/example_notebook.ipynb

@@ -2,26 +2,10 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "9fe1329b",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2022-02-16T15:00:09.736455Z",
-     "start_time": "2022-02-16T15:00:09.714033Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "import matplotlib.pyplot as plt\n",