Merge pull request #93 from gperdrizet/dev

Updated lesson 12 notebooks to load data directly from URL.

Author: gperdrizet

notebooks/unit2/lesson_12/Lesson_12_activity.ipynb

@@ -29,13 +29,124 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "9eb120c9",
+   "execution_count": 1,
+   "id": "8de14613",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "9eb120c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>weather_condition</th>\n",
+       "      <th>wind_strength</th>\n",
+       "      <th>temperature_c</th>\n",
+       "      <th>rainfall_inches</th>\n",
+       "      <th>humidity_percent</th>\n",
+       "      <th>pressure_hpa</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Sunny</td>\n",
+       "      <td>Light Breeze</td>\n",
+       "      <td>8.2</td>\n",
+       "      <td>0.13</td>\n",
+       "      <td>48.8</td>\n",
+       "      <td>1016.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Snowy</td>\n",
+       "      <td>Gale</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>89.6</td>\n",
+       "      <td>1009.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Rainy</td>\n",
+       "      <td>Strong Wind</td>\n",
+       "      <td>7.3</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>1003.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Cloudy</td>\n",
+       "      <td>Light Breeze</td>\n",
+       "      <td>21.6</td>\n",
+       "      <td>0.62</td>\n",
+       "      <td>49.3</td>\n",
+       "      <td>1006.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Sunny</td>\n",
+       "      <td>Calm</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>1016.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  weather_condition wind_strength  temperature_c  rainfall_inches  \\\n",
+       "0             Sunny  Light Breeze            8.2             0.13   \n",
+       "1             Snowy          Gale            1.6             0.29   \n",
+       "2             Rainy   Strong Wind            7.3             0.01   \n",
+       "3            Cloudy  Light Breeze           21.6             0.62   \n",
+       "4             Sunny          Calm           12.0             1.09   \n",
+       "\n",
+       "   humidity_percent  pressure_hpa  \n",
+       "0              48.8        1016.5  \n",
+       "1              89.6        1009.4  \n",
+       "2             100.0        1003.3  \n",
+       "3              49.3        1006.9  \n",
+       "4              38.6        1016.0  "
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Load the weather dataset\n",
-    "df = pd.read_csv('weather.csv')\n",
+    "url = 'https://gperdrizet.github.io/FSA_devops/assets/data/unit2/weather.csv'\n",
+    "df = pd.read_csv(url)\n",
     "df.head()"
    ]
   },
@@ -224,8 +335,22 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.12"
   }
  },
  "nbformat": 4,

notebooks/unit2/lesson_12/Lesson_12_linear_algebra_demo.ipynb

@@ -12,19 +12,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "4b544dfa",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Dataset shape: (500, 6)\n",
-      "\n",
-      "First few rows:\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -125,7 +116,8 @@
     "import pandas as pd\n",
     "\n",
     "# Display dataset info\n",
-    "df = pd.read_csv('fitness.csv')\n",
+    "url = 'https://gperdrizet.github.io/FSA_devops/assets/data/unit2/fitness.csv'\n",
+    "df = pd.read_csv(url)\n",
     "df.head()"
    ]
   },

notebooks/unit2/lesson_12/Lesson_12_statistics_demo.ipynb

@@ -136,7 +136,8 @@
     }
    ],
    "source": [
-    "df = pd.read_csv('weather.csv')\n",
+    "url = 'https://gperdrizet.github.io/FSA_devops/assets/data/unit2/weather.csv'\n",
+    "df = pd.read_csv(url)\n",
     "df.head()"
    ]
   },