include the discussion of metadata labeling

Author: dimitri-yatsenko

book/00-introduction/49-connect.ipynb

@@ -40,11 +40,6 @@
     "The following cell sets up the connection to the database for the Jupyter SQL Magic."
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -76,64 +71,6 @@
     "%sql mysql+pymysql://dev:devpass@db"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Connect with DataJoint \n",
-    "\n",
-    "\n",
-    "\n",
-    "The DataJoint client library uses these environment variables to connect to the database.\n",
-    "It sufficient to simply import the datajoint client library.\n",
-    "It will connect to the database automatically as soon as necessary.\n",
-    "However, you can explicity verify the connection by calling `dj.conn()`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[2025-09-16 01:37:46,977][INFO]: DataJoint 0.14.6 connected to dev@db:3306\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "DataJoint connection (connected) dev@db:3306"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import datajoint as dj\n",
-    "dj.conn()  # test the connection (optionally)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If you are only learning DataJoint, you are done.\n",
-    "If you are reading this text to also learn SQL, you can use two ways to issue queries: with IPython magic commands or a client library."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If you are only learning DataJoint, you are done.\n",
-    "If you are reading this text to also learn SQL, you can use two ways to issue queries: with IPython magic commands or a client library."
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -230,6 +167,48 @@
     "SELECT User FROM mysql.user"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Connect with DataJoint \n",
+    "\n",
+    "\n",
+    "\n",
+    "The DataJoint client library uses these environment variables to connect to the database.\n",
+    "It sufficient to simply import the datajoint client library.\n",
+    "It will connect to the database automatically as soon as necessary.\n",
+    "However, you can explicity verify the connection by calling `dj.conn()`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[2025-09-16 01:37:46,977][INFO]: DataJoint 0.14.6 connected to dev@db:3306\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "DataJoint connection (connected) dev@db:3306"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import datajoint as dj\n",
+    "dj.conn()  # test the connection (optionally)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},