diff --git a/bigframes/formatting_helpers.py b/bigframes/formatting_helpers.py
index 1e3cdabdaf6..094493818de 100644
--- a/bigframes/formatting_helpers.py
+++ b/bigframes/formatting_helpers.py
@@ -27,8 +27,6 @@
 import humanize
 
 if TYPE_CHECKING:
-    from IPython import display
-
     import bigframes.core.events
 
 GenericJob = Union[
@@ -134,16 +132,14 @@ def repr_query_job_html(query_job: Optional[bigquery.QueryJob]):
     return res
 
 
-current_display: Optional[display.HTML] = None
 current_display_id: Optional[str] = None
-previous_display_html: str = ""
 
 
 def progress_callback(
     event: bigframes.core.events.Event,
 ):
     """Displays a progress bar while the query is running"""
-    global current_display, current_display_id, previous_display_html
+    global current_display_id
 
     try:
         import bigframes._config
@@ -162,59 +158,44 @@ def progress_callback(
     if progress_bar == "notebook":
         import IPython.display as display
 
-        if (
-            isinstance(event, bigframes.core.events.ExecutionStarted)
-            or current_display is None
-            or current_display_id is None
-        ):
-            previous_display_html = ""
-            current_display_id = str(random.random())
-            current_display = display.HTML("Starting.")
-            display.display(
-                current_display,
-                display_id=current_display_id,
-            )
+        display_html = None
+
+        if isinstance(event, bigframes.core.events.ExecutionStarted):
+            # Start a new context for progress output.
+            current_display_id = None
+
+        elif isinstance(event, bigframes.core.events.BigQuerySentEvent):
+            display_html = render_bqquery_sent_event_html(event)
 
-        if isinstance(event, bigframes.core.events.BigQuerySentEvent):
-            previous_display_html = render_bqquery_sent_event_html(event)
-            display.update_display(
-                display.HTML(previous_display_html),
-                display_id=current_display_id,
-            )
         elif isinstance(event, bigframes.core.events.BigQueryRetryEvent):
-            previous_display_html = render_bqquery_retry_event_html(event)
-            display.update_display(
-                display.HTML(previous_display_html),
-                display_id=current_display_id,
-            )
+            display_html = render_bqquery_retry_event_html(event)
+
         elif isinstance(event, bigframes.core.events.BigQueryReceivedEvent):
-            previous_display_html = render_bqquery_received_event_html(event)
-            display.update_display(
-                display.HTML(previous_display_html),
-                display_id=current_display_id,
-            )
+            display_html = render_bqquery_received_event_html(event)
+
         elif isinstance(event, bigframes.core.events.BigQueryFinishedEvent):
-            previous_display_html = render_bqquery_finished_event_html(event)
-            display.update_display(
-                display.HTML(previous_display_html),
-                display_id=current_display_id,
-            )
-        elif isinstance(event, bigframes.core.events.ExecutionFinished):
-            if previous_display_html:
+            display_html = render_bqquery_finished_event_html(event)
+
+        elif isinstance(event, bigframes.core.events.SessionClosed):
+            display_html = f"Session {event.session_id} closed."
+
+        if display_html:
+            if current_display_id:
                 display.update_display(
-                    display.HTML(f"✅ Completed. {previous_display_html}"),
+                    display.HTML(display_html),
+                    display_id=current_display_id,
+                )
+            else:
+                current_display_id = str(random.random())
+                display.display(
+                    display.HTML(display_html),
                     display_id=current_display_id,
                 )
 
-        elif isinstance(event, bigframes.core.events.SessionClosed):
-            display.update_display(
-                display.HTML(f"Session {event.session_id} closed."),
-                display_id=current_display_id,
-            )
     elif progress_bar == "terminal":
-        if isinstance(event, bigframes.core.events.ExecutionStarted):
-            print("Starting execution.")
-        elif isinstance(event, bigframes.core.events.BigQuerySentEvent):
+        message = None
+
+        if isinstance(event, bigframes.core.events.BigQuerySentEvent):
             message = render_bqquery_sent_event_plaintext(event)
             print(message)
         elif isinstance(event, bigframes.core.events.BigQueryRetryEvent):
@@ -226,8 +207,6 @@ def progress_callback(
         elif isinstance(event, bigframes.core.events.BigQueryFinishedEvent):
             message = render_bqquery_finished_event_plaintext(event)
             print(message)
-        elif isinstance(event, bigframes.core.events.ExecutionFinished):
-            print("Execution done.")
 
 
 def wait_for_job(job: GenericJob, progress_bar: Optional[str] = None):
diff --git a/notebooks/getting_started/magics.ipynb b/notebooks/getting_started/magics.ipynb
new file mode 100644
index 00000000000..1f2cf7a409b
--- /dev/null
+++ b/notebooks/getting_started/magics.ipynb
@@ -0,0 +1,406 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "91edcf7b",
+   "metadata": {},
+   "source": [
+    "# %%bqsql cell magics\n",
+    "\n",
+    "The BigQuery DataFrames (aka BigFrames) package provides a `%%bqsql` cell magics for Jupyter environments.\n",
+    "\n",
+    "To use it, first activate the extension:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "98cd0489",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext bigframes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f18fdc63",
+   "metadata": {},
+   "source": [
+    "Now, use the magics by including SQL in the body."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "269c5862",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    Query processed 0 Bytes. [<a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:job_UVe7FsupxF3CbYuLcLT7fpw9dozg&page=queryresults\">Job bigframes-dev:US.job_UVe7FsupxF3CbYuLcLT7fpw9dozg details</a>]\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1e2fb7b019754d31b11323a054f97f47",
+       "version_major": 2,
+       "version_minor": 1
+      },
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>state</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>year</th>\n",
+       "      <th>name</th>\n",
+       "      <th>number</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>HI</td>\n",
+       "      <td>F</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>Ariana</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>HI</td>\n",
+       "      <td>F</td>\n",
+       "      <td>2002</td>\n",
+       "      <td>Jordyn</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>HI</td>\n",
+       "      <td>F</td>\n",
+       "      <td>2006</td>\n",
+       "      <td>Mya</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>HI</td>\n",
+       "      <td>F</td>\n",
+       "      <td>2010</td>\n",
+       "      <td>Jordyn</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>HI</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1921</td>\n",
+       "      <td>Nobuo</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>HI</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1925</td>\n",
+       "      <td>Ralph</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>HI</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1926</td>\n",
+       "      <td>Hisao</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>HI</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1927</td>\n",
+       "      <td>Moses</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>HI</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1933</td>\n",
+       "      <td>Larry</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>HI</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1933</td>\n",
+       "      <td>Alfredo</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>10 rows × 5 columns</p>\n",
+       "</div>[5552452 rows x 5 columns in total]"
+      ],
+      "text/plain": [
+       "state gender  year    name  number\n",
+       "   HI      F  1999  Ariana      10\n",
+       "   HI      F  2002  Jordyn      10\n",
+       "   HI      F  2006     Mya      10\n",
+       "   HI      F  2010  Jordyn      10\n",
+       "   HI      M  1921   Nobuo      10\n",
+       "   HI      M  1925   Ralph      10\n",
+       "   HI      M  1926   Hisao      10\n",
+       "   HI      M  1927   Moses      10\n",
+       "   HI      M  1933   Larry      10\n",
+       "   HI      M  1933 Alfredo      10\n",
+       "...\n",
+       "\n",
+       "[5552452 rows x 5 columns]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%bqsql\n",
+    "SELECT * FROM `bigquery-public-data.usa_names.usa_1910_2013`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8771e10f",
+   "metadata": {},
+   "source": [
+    "The output DataFrame can be saved to a variable."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "30bb6327",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    Query processed 0 Bytes. [<a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:c142adf3-cd95-42da-bbdc-c176b36b934f&page=queryresults\">Job bigframes-dev:US.c142adf3-cd95-42da-bbdc-c176b36b934f details</a>]\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%bqsql mydf\n",
+    "SELECT * FROM `bigquery-public-data.usa_names.usa_1910_2013`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "533e2e9e",
+   "metadata": {},
+   "source": [
+    "You can chain cells together using format strings. DataFrame objects are automatically turned into table expressions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "6a8a8123",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    Query processed 88.1 MB in a moment of slot time.\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c4889de9296440428de90defb5c58070",
+       "version_major": 2,
+       "version_minor": 1
+      },
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>total_count</th>\n",
+       "      <th>name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>304036</td>\n",
+       "      <td>Tracy</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>293876</td>\n",
+       "      <td>Travis</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>203784</td>\n",
+       "      <td>Troy</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>150127</td>\n",
+       "      <td>Trevor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>96397</td>\n",
+       "      <td>Tristan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>89996</td>\n",
+       "      <td>Tracey</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>65546</td>\n",
+       "      <td>Trinity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>50112</td>\n",
+       "      <td>Traci</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>49657</td>\n",
+       "      <td>Trenton</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>45692</td>\n",
+       "      <td>Trent</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>10 rows × 2 columns</p>\n",
+       "</div>[238 rows x 2 columns in total]"
+      ],
+      "text/plain": [
+       "   total_count     name\n",
+       "0       304036    Tracy\n",
+       "1       293876   Travis\n",
+       "2       203784     Troy\n",
+       "3       150127   Trevor\n",
+       "4        96397  Tristan\n",
+       "5        89996   Tracey\n",
+       "6        65546  Trinity\n",
+       "7        50112    Traci\n",
+       "8        49657  Trenton\n",
+       "9        45692    Trent\n",
+       "...\n",
+       "\n",
+       "[238 rows x 2 columns]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%bqsql\n",
+    "SELECT sum(number) as total_count, name\n",
+    "FROM {mydf}\n",
+    "WHERE name LIKE 'Tr%'\n",
+    "GROUP BY name\n",
+    "ORDER BY total_count DESC"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d2a17078",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}