diff --git a/docs/examples/disable_warnings.py b/docs/examples/disable_warnings.py
new file mode 100644
index 0000000..63de984
--- /dev/null
+++ b/docs/examples/disable_warnings.py
@@ -0,0 +1,9 @@
+import logging
+import warnings
+
+
+def disable_warnings() -> None:
+    """Disable output of warnings."""
+
+    logging.root.setLevel(logging.ERROR)
+    warnings.filterwarnings("ignore")
diff --git a/docs/examples/house_sales.ipynb b/docs/examples/house_sales.ipynb
index 96fece3..5ebc42f 100644
--- a/docs/examples/house_sales.ipynb
+++ b/docs/examples/house_sales.ipynb
@@ -8,10 +8,7 @@
     "The dataset contains house sale prices for King County, USA between May 2014 and May 2015. It is well suited to practice regression techniques."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -20,10 +17,7 @@
     "## Column descriptions"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -31,8 +25,9 @@
    "execution_count": null,
    "outputs": [],
    "source": [
-    "import warnings\n",
-    "warnings.filterwarnings(\"ignore\")\n",
+    "from disable_warnings import disable_warnings\n",
+    "\n",
+    "disable_warnings()\n",
     "\n",
     "from safeds_examples.tabular import describe_house_sales_columns\n",
     "from display_column_description import display_column_descriptions\n",
@@ -41,10 +36,7 @@
     "display_column_descriptions(house_sales_description)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -53,10 +45,7 @@
     "## Sample"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -70,10 +59,7 @@
     "house_sales.slice(end=10)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -82,10 +68,7 @@
     "## Schema"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -96,10 +79,7 @@
     "house_sales.schema"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -108,10 +88,7 @@
     "## Statistics"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -122,10 +99,7 @@
     "house_sales.summary()"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -134,10 +108,7 @@
     "## Correlation heatmap"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -159,10 +130,7 @@
     "correlation_heatmap(house_sales_correlation)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -175,10 +143,7 @@
     "Column descriptions are based on [this Kaggle discussion](https://www.kaggle.com/datasets/harlfoxem/housesalesprediction/discussion/207885).\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   }
  ],
@@ -203,4 +168,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
\ No newline at end of file
+}
diff --git a/docs/examples/titanic.ipynb b/docs/examples/titanic.ipynb
index da49a40..6a0f415 100644
--- a/docs/examples/titanic.ipynb
+++ b/docs/examples/titanic.ipynb
@@ -8,10 +8,7 @@
     "The dataset contains information about the passengers of the Titanic and whether they survived the accident. It is well suited to practice classification techniques."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -20,10 +17,7 @@
     "## Column descriptions"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -31,8 +25,9 @@
    "execution_count": null,
    "outputs": [],
    "source": [
-    "import warnings\n",
-    "warnings.filterwarnings(\"ignore\")\n",
+    "from disable_warnings import disable_warnings\n",
+    "\n",
+    "disable_warnings()\n",
     "\n",
     "from safeds_examples.tabular import describe_titanic_columns\n",
     "from display_column_description import display_column_descriptions\n",
@@ -41,10 +36,7 @@
     "display_column_descriptions(titanic_description)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -53,10 +45,7 @@
     "## Sample"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -70,10 +59,7 @@
     "titanic.slice(end=10)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -82,10 +68,7 @@
     "## Schema"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -96,10 +79,7 @@
     "titanic.schema"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -108,10 +88,7 @@
     "## Statistics"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -122,10 +99,7 @@
     "titanic.summary()"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -134,10 +108,7 @@
     "## Correlation heatmap"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -154,10 +125,7 @@
     "correlation_heatmap(titanic_correlation)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -172,10 +140,7 @@
     "> Thomas Cason of UVa has greatly updated and improved the titanic data frame using the Encyclopedia Titanica and created the dataset here. Some duplicate passengers have been dropped, many errors corrected, many missing ages filled in, and new variables created.\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   }
  ],
@@ -200,4 +165,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
\ No newline at end of file
+}