simplify docs

notebooks/00-quick_intro.ipynb

@@ -43,6 +43,7 @@
     "    \"longitude\",\n",
     "    \"salinity\",\n",
     "    \"temperature\",\n",
+    "    \"profile_id\",\n",
     "    \"time\",\n",
     "]\n",
     "\n",
@@ -79,16 +80,18 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The variable names are standardised by gliderpy, making it easier to fetch from different data sources and comparing the results.\n",
+    "Much easier, right?\n",
+    "The variable names are standardized by gliderpy,\n",
+    "making it easier to fetch from different data sources and comparing the results.\n",
     "\n",
-    "`gliderpy` can subset the data on the server side by passing a geographic bounding box and time interval."
+    "The `gliderpy` libray can subset the data on the server side by passing a geographic bounding box and time interval."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Multiple datasets\n",
+    "### Querying multiple datasets\n",
     "\n",
     "The most common use is to search all datasets for data that falls within the certain space-time bounds."
    ]
@@ -101,7 +104,16 @@
    "source": [
     "glider_grab = GliderDataFetcher()\n",
     "\n",
-    "glider_grab.query(10, 40, -90, 8, \"2010-01-01\", \"2013-06-02\")\n",
+    "df = glider_grab.query(10, 40, -90, 8, \"2010-01-01\", \"2013-06-02\")\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "df = glider_grab.to_pandas()\n",
     "df.head()"
    ]
@@ -112,7 +124,7 @@
    "source": [
     "### Dataset search\n",
     "\n",
-    "One can query all dataset_ids available."
+    "One can query all `dataset_id`s available in the server."
    ]
   },
   {
@@ -146,7 +158,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.11.6"
   }
  },
  "nbformat": 4,