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",
@@ -66,8 +66,12 @@
    },
    "outputs": [],
    "source": [
-    "!pip install dask 'pandas==2.0.0' 'crate[sqlalchemy]' 'cratedb-toolkit==0.0.10' 'pueblo>=0.0.7' kaggle"
-   ]
+    "#!pip install dask pandas 'crate[sqlalchemy]'"
+   ],
+   "metadata": {
+    "collapsed": false
+   },
+   "id": "a31d75fa072055fe"
   },
   {
    "cell_type": "markdown",
@@ -106,17 +110,6 @@
   {
    "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",

topic/timeseries/requirements.txt

@@ -1,7 +1,7 @@
 crate[sqlalchemy]==0.35.2
 cratedb-toolkit[datasets]==0.0.10
-refinitiv-data<1.7
-pandas<2
-pycaret==3.3.2
+pandas<2.2.1
+pycaret==3.3.1
 pydantic<2
-sqlalchemy<2
+refinitiv-data<1.7
+sqlalchemy>=1.0,<2.1