moved "Entity Integrity"

book/30-schema-design/015-default-values.ipynb

@@ -52,19 +52,6 @@
     "schema = dj.Schema('experiment')"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The resulting `schema` object refers to the schema and is then used as a decorator on classes to associate tables with your schema.\n",
-    "\n",
-    "# Table Declaration\n",
-    "To declare a table in DataJoint, you need to define a class that inherits from one of the base classes provided by DataJoint, such as `dj.Manual`, `dj.Lookup`, `dj.Imported`, or `dj.Computed`. \n",
-    "Each class type serves a different purpose, but for now, let's start with the `dj.Manual` class, which is used for tables where data is manually inserted.\n",
-    "\n",
-    "Here's a basic example of a table declaration:"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 5,
@@ -78,8 +65,10 @@
     "    ---\n",
     "    experiment_name = \"\": varchar(64)   \n",
     "    experimenter_name = \"\" : varchar(30)\n",
+    "    outside_temperature = null : decimal(4, 1) unsigned # in Kelvin \n",
     "    experiment_date = CURRENT_TIMESTAMP : datetime\n",
-    "    experiment_type = \"tinkering\" : enum(\"tinkering\", \"time dilation\", \"wormhole traversal\", \"teleportation\")\n",
+    "    experiment_type = \"tinkering\" : enum(\"tinkering\", \\\n",
+    "          \"time dilation\", \"wormhole traversal\", \"teleportation\")\n",
     "    \"\"\""
    ]
   },