Bump pandas and sqlalchemy

topic/timeseries/dask-weather-data-import.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "# How to Build Time Series Applications in CrateDB\n",
     "\n",
-    "This notebook guides you through an example of how to batch import \n",
+    "This notebook guides you through an example of how to import and work with\n",
     "time series data in CrateDB. It uses Dask to import data into CrateDB.\n",
     "Dask is a framework to parallelize operations on pandas Dataframes.\n",
     "\n",
@@ -65,9 +65,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e0649e64",
+   "id": "a31d75fa072055fe",
    "metadata": {
-    "scrolled": true
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -111,17 +111,6 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "8fcc014a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Dataset URL: https://www.kaggle.com/datasets/guillemservera/global-daily-climate-data\n"
-     ]
-    }
-   ],
    "source": [
     "from pueblo.util.environ import getenvpass\n",
     "from cratedb_toolkit.datasets import load_dataset\n",