run getting-started docs (#726)

.github/workflows/ci.yaml

@@ -61,7 +61,7 @@ jobs:
         run: pip install ./
 
       - name: Run local tests
-        run: nbdev_test --skip_file_re '(models|distributed|ets).*.ipynb' --pause 1.0
+        run: nbdev_test --skip_file_re '(models|distributed|ets).*.ipynb' --pause 1.0 --do_print --timing
 
   run-tests:
     runs-on: ${{ matrix.os }}
@@ -86,7 +86,7 @@ jobs:
         run: pip install ./
 
       - name: Run tests 
-        run: nbdev_test --skip_file_re '(distributed).*.ipynb' --pause 1.0
+        run: nbdev_test --skip_file_re '(distributed).*.ipynb' --pause 1.0 --do_print --timing
 
       - name: Run integration tests
         run: |

nbs/docs/getting-started/0_Installation.ipynb

@@ -58,6 +58,29 @@
     "$ conda activate statsforecast\n",
     "```"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "58909f00-5456-4398-80d6-72f8afbdd0e1",
+   "metadata": {},
+   "source": [
+    "## Extras"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "ecb9b7ac-36a3-48f9-a847-0fcba777d921",
+   "metadata": {},
+   "source": [
+    "The following features can also be installed by specifying the extra inside the install command, e.g. `pip install 'statsforecast[extra1,extra2]'`\n",
+    "\n",
+    "* **polars**: provide polars dataframes to StatsForecast.\n",
+    "* **plotly**: use `StatsForecast.plot` with the plotly backend.\n",
+    "* **dask**: perform distributed forecasting with dask.\n",
+    "* **spark**: perform distributed forecasting with spark.\n",
+    "* **ray**: perform distributed forecasting with ray."
+   ]
   }
  ],
  "metadata": {