diff --git a/python-notebooks/11 - Pytorch Trip Duration.ipynb b/python-notebooks/11 - Pytorch Trip Duration.ipynb
index f461699..bcd2a9e 100644
--- a/python-notebooks/11 - Pytorch Trip Duration.ipynb	
+++ b/python-notebooks/11 - Pytorch Trip Duration.ipynb	
@@ -53,31 +53,13 @@
     "- `torch`\n",
     "- `missingno`\n",
     "- `foursquare.map-sdk`\n",
-    "- `unfolded.data-sdk`\n",
+    "- `foursquare.data-sdk`\n",
     "\n",
     "If running this notebook in Binder, these dependencies should already be installed. If running in Colab, the next cell will install these dependencies. In another environment, you'll need to make sure these dependencies are available by running the following `pip` command in a shell.\n",
     "\n",
     "```bash\n",
-    "pip install xarray dask netCDF4 bottleneck tqdm dask-ml pandas seaborn matplotlib scikit-learn category_encoders torch missingno foursquare.map-sdk unfolded.data-sdk\n",
-    "```\n",
-    "\n",
-    "This notebook was originally tested with the following package versions, but likely works with a broad range of versions:\n",
-    "\n",
-    "- xarray==0.19.0 \n",
-    "- dask==2021.09.1 \n",
-    "- netCDF4==1.5.7 \n",
-    "- bottleneck==1.3.2 \n",
-    "- tqdm==4.62.3 \n",
-    "- dask-ml==1.9.0 \n",
-    "- pandas==1.3.3 \n",
-    "- seaborn==0.11.2 \n",
-    "- matplotlib==3.4.3 \n",
-    "- scikit-learn==1.0 \n",
-    "- category_encoders==2.2.2\n",
-    "- torch==1.9.1 \n",
-    "- missingno==0.5.0 \n",
-    "- foursquare.map-sdk==0.5.0\n",
-    "- unfolded.data-sdk==0.5.0"
+    "pip install xarray dask netCDF4 bottleneck tqdm dask-ml pandas seaborn matplotlib scikit-learn category_encoders torch missingno foursquare.map-sdk foursquare.data-sdk\n",
+    "```\n"
    ]
   },
   {
diff --git a/python-notebooks/experimental/bokeh-data-sdk.ipynb b/python-notebooks/experimental/bokeh-data-sdk.ipynb
index 4e6ea20..89d69eb 100644
--- a/python-notebooks/experimental/bokeh-data-sdk.ipynb
+++ b/python-notebooks/experimental/bokeh-data-sdk.ipynb
@@ -63,7 +63,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "By using Studio's [unfolded.data_sdk](https://pypi.org/project/unfolded.data-sdk/) module with your personal [refresh token](https://studio.unfolded.ai/home/tokens) you have access to our [DataSDK](https://docs.unfolded.ai/data-sdk/use-with-python)"
+    "By using Studio's [foursquare.data_sdk](https://pypi.org/project/foursquare.data-sdk/) module with your personal [refresh token](https://studio.unfolded.ai/home/tokens) you have access to our [DataSDK](https://docs.unfolded.ai/data-sdk/use-with-python)"
    ]
   },
   {
@@ -72,7 +72,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from unfolded.data_sdk import DataSDK, MediaType\n",
+    "from foursquare.data_sdk import DataSDK, MediaType\n",
     "\n",
     "data_sdk = DataSDK(refresh_token=\"YOUR_REFRESH_TOKEN\")"
    ]
@@ -122,7 +122,7 @@
       "\nDuring handling of the above exception, another exception occurred:\n",
       "\u001b[0;31mDriverError\u001b[0m                               Traceback (most recent call last)",
       "\u001b[0;32m<ipython-input-6-b1f7bc74e189>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata_sdk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdownload_dataframe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msample\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/opt/anaconda3/lib/python3.8/site-packages/unfolded/data_sdk/data_sdk.py\u001b[0m in \u001b[0;36mdownload_dataframe\u001b[0;34m(self, dataset, **kwargs)\u001b[0m\n\u001b[1;32m    248\u001b[0m                     )\n\u001b[1;32m    249\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 250\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mgpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbio\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    251\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    252\u001b[0m             \u001b[0;31m# Unfortunately, Studio doesn't put the correct content type on\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/opt/anaconda3/lib/python3.8/site-packages/foursquare/data_sdk/data_sdk.py\u001b[0m in \u001b[0;36mdownload_dataframe\u001b[0;34m(self, dataset, **kwargs)\u001b[0m\n\u001b[1;32m    248\u001b[0m                     )\n\u001b[1;32m    249\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 250\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mgpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbio\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    251\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    252\u001b[0m             \u001b[0;31m# Unfortunately, Studio doesn't put the correct content type on\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m~/opt/anaconda3/lib/python3.8/site-packages/geopandas/io/file.py\u001b[0m in \u001b[0;36m_read_file\u001b[0;34m(filename, bbox, mask, rows, **kwargs)\u001b[0m\n\u001b[1;32m    158\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    159\u001b[0m     \u001b[0;32mwith\u001b[0m \u001b[0mfiona_env\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 160\u001b[0;31m         \u001b[0;32mwith\u001b[0m \u001b[0mreader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath_or_bytes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfeatures\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    161\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    162\u001b[0m             \u001b[0;31m# In a future Fiona release the crs attribute of features will\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m~/opt/anaconda3/lib/python3.8/site-packages/fiona/collection.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, bytesbuf, **kwds)\u001b[0m\n\u001b[1;32m    553\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    554\u001b[0m         \u001b[0;31m# Instantiate the parent class.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 555\u001b[0;31m         super(BytesCollection, self).__init__(self.virtual_file, vsi=filetype,\n\u001b[0m\u001b[1;32m    556\u001b[0m                                               encoding='utf-8', **kwds)\n\u001b[1;32m    557\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m~/opt/anaconda3/lib/python3.8/site-packages/fiona/collection.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, path, mode, driver, schema, crs, encoding, layer, vsi, archive, enabled_drivers, crs_wkt, ignore_fields, ignore_geometry, **kwargs)\u001b[0m\n\u001b[1;32m    160\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'r'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    161\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msession\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mSession\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 162\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    163\u001b[0m             \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmode\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'a'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'w'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    164\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msession\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mWritingSession\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
diff --git a/requirements.txt b/requirements.txt
index e5ce08b..30b0b27 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -17,6 +17,6 @@ seaborn
 sidecar
 tensorflow
 torch
-unfolded.data-sdk>=0.7.0
-foursquare.map-sdk>=2.0.0
+foursquare.data-sdk
+foursquare.map-sdk
 xarray