diff --git a/.github/workflows/notebook-jupyter.yml b/.github/workflows/notebook-jupyter.yml
new file mode 100644
index 00000000..1ee13747
--- /dev/null
+++ b/.github/workflows/notebook-jupyter.yml
@@ -0,0 +1,94 @@
+name: pandas
+
+on:
+  pull_request:
+    branches: ~
+    paths:
+    - '.github/workflows/notebook-jupyter.yml'
+    - 'notebook/jupyter/**'
+    - '/requirements.txt'
+  push:
+    branches: [ main ]
+    paths:
+    - '.github/workflows/notebook-jupyter.yml'
+    - 'notebook/jupyter/**'
+    - '/requirements.txt'
+
+  # Allow job to be triggered manually.
+  workflow_dispatch:
+
+  # Run job each night after CrateDB nightly has been published.
+  schedule:
+    - cron: '0 3 * * *'
+
+# Cancel in-progress jobs when pushing to the same branch.
+concurrency:
+  cancel-in-progress: true
+  group: ${{ github.workflow }}-${{ github.ref }}
+
+jobs:
+  test:
+    name: "
+     Python: ${{ matrix.python-version }}
+     CrateDB: ${{ matrix.cratedb-version }}
+     on ${{ matrix.os }}"
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ 'ubuntu-latest' ]
+        python-version: [ '3.8', '3.13' ]
+        cratedb-version: [ 'nightly' ]
+
+    env:
+      OS_TYPE: ${{ matrix.os }}
+      PYTHON_VERSION: ${{ matrix.python-version }}
+      UV_SYSTEM_PYTHON: true
+
+    services:
+      cratedb:
+        image: crate/crate:${{ matrix.cratedb-version }}
+        ports:
+          - 4200:4200
+          - 5432:5432
+        env:
+          CRATE_HEAP_SIZE: 4g
+
+    steps:
+
+      - name: Acquire sources
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+          architecture: x64
+          cache: 'pip'
+          cache-dependency-path: |
+            notebook/jupyter/pyproject.toml
+
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v5
+        with:
+          cache-dependency-glob: |
+            notebook/jupyter/pyproject.toml
+          cache-suffix: ${{ matrix.python-version }}
+          enable-cache: true
+          version: "latest"
+
+      - name: Install project
+        run: |
+          uv pip install notebook/jupyter[all]
+
+      - name: Validate notebook/jupyter
+        run: |
+          cd notebook/jupyter
+          pytest
+
+      - name: Build docs for notebook/jupyter
+        run: |
+          cd notebook/jupyter
+          poe check
+          poe docs-html
+          poe docs-linkcheck
diff --git a/.gitignore b/.gitignore
index 7d27b66d..ed0a062a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,7 @@
 .idea
 .venv*
 __pycache__
+_build
 .coverage*
 .env
 .DS_Store
@@ -14,3 +15,4 @@ logs.log
 *.tmp
 *.swp
 *.bak
+*.egg-info
diff --git a/notebook/jupyter/README.md b/notebook/jupyter/README.md
new file mode 100644
index 00000000..1f73e408
--- /dev/null
+++ b/notebook/jupyter/README.md
@@ -0,0 +1,8 @@
+# CrateDB Jupyter Examples
+
+A few examples using CrateDB from Jupyter Notebooks.
+If you are here already, we recommend to check out the [JupySQL] examples
+at least.
+
+
+[JupySQL]: https://jupysql.ploomber.io/
diff --git a/notebook/jupyter/conftest.py b/notebook/jupyter/conftest.py
new file mode 100644
index 00000000..08a84357
--- /dev/null
+++ b/notebook/jupyter/conftest.py
@@ -0,0 +1,31 @@
+import os
+from pathlib import Path
+
+import pytest
+import sqlalchemy as sa
+from pueblo.testing.notebook import generate_tests
+
+
+def pytest_generate_tests(metafunc):
+    """
+    Generate pytest test case per Jupyter Notebook.
+    """
+    here = Path(__file__).parent
+    generate_tests(metafunc, path=here)
+
+
+@pytest.fixture(autouse=True)
+def reset_database_tables():
+    """
+    Before running a test case, reset relevant tables in database.
+    """
+
+    connection_string = os.environ.get("CRATEDB_CONNECTION_STRING")
+
+    engine = sa.create_engine(connection_string, echo=os.environ.get("DEBUG"))
+    connection = engine.connect()
+
+    reset_tables = []
+
+    for table in reset_tables:
+        connection.execute(sa.text(f"DROP TABLE IF EXISTS {table};"))
diff --git a/notebook/jupyter/docs/conf.py b/notebook/jupyter/docs/conf.py
new file mode 100644
index 00000000..182bc7d6
--- /dev/null
+++ b/notebook/jupyter/docs/conf.py
@@ -0,0 +1,6 @@
+project = "CrateDB Jupyter Examples"
+copyright = "2023-2025, The CrateDB Developers"
+author = "The CrateDB Developers"
+
+html_theme = "furo"
+extensions = ["myst_nb"]
diff --git a/notebook/jupyter/docs/index.md b/notebook/jupyter/docs/index.md
new file mode 100644
index 00000000..03ca6b4c
--- /dev/null
+++ b/notebook/jupyter/docs/index.md
@@ -0,0 +1,14 @@
+# CrateDB Jupyter Examples
+
+This is a little Sphinx documentation stub that includes Jupyter Notebooks,
+by using [MyST-NB].
+
+```{toctree}
+:maxdepth: 2
+:glob:
+
+*
+```
+
+
+[MyST-NB]: https://myst-nb.readthedocs.io/
diff --git a/notebook/jupyter/docs/jupysql.ipynb b/notebook/jupyter/docs/jupysql.ipynb
new file mode 120000
index 00000000..57a77f15
--- /dev/null
+++ b/notebook/jupyter/docs/jupysql.ipynb
@@ -0,0 +1 @@
+../jupysql.ipynb
\ No newline at end of file
diff --git a/notebook/jupyter/jupysql.ipynb b/notebook/jupyter/jupysql.ipynb
new file mode 100644
index 00000000..0271543d
--- /dev/null
+++ b/notebook/jupyter/jupysql.ipynb
@@ -0,0 +1,2524 @@
+{
+ "cells": [
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "# CrateDB JupySQL Example\n",
+    "\n",
+    "[JupySQL], the successor of [ipython-sql], enables running SQL in\n",
+    "Jupyter/IPython per `%sql` and `%%sql` magics. It aims to become\n",
+    "a full-fledged SQL client, compatible with all major databases.\n",
+    "\n",
+    "## Setup\n",
+    "\n",
+    "To start a single-node instance of CrateDB for evaluation purposes, you can use\n",
+    "Docker or Podman.\n",
+    "```bash\n",
+    "docker run --rm -it --name=cratedb \\\n",
+    "  --publish=4200:4200 --publish=5432:5432 \\\n",
+    "  --env=CRATE_HEAP_SIZE=2g crate/crate:nightly \\\n",
+    "  -Cdiscovery.type=single-node\n",
+    "```\n",
+    "\n",
+    "[ipython-sql]: https://github.com/catherinedevlin/ipython-sql\n",
+    "[JupySQL]: https://jupysql.ploomber.io/"
+   ],
+   "id": "fb6563fb550c0c45"
+  },
+  {
+   "metadata": {
+    "tags": [
+     "hide-output"
+    ],
+    "ExecuteTime": {
+     "end_time": "2025-01-12T22:07:23.911648Z",
+     "start_time": "2025-01-12T22:07:11.441321Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "# Load extension.\n",
+    "%reload_ext sql\n",
+    "\n",
+    "# Connect to CrateDB.\n",
+    "%sql crate://"
+   ],
+   "id": "a3bee8cfa5cb0f71",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Connecting to 'crate://'"
+      ],
+      "text/html": [
+       "<span style=\"None\">Connecting to &#x27;crate://&#x27;</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 1
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "## Basic querying",
+   "id": "e335963343a76925"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T21:51:48.898994Z",
+     "start_time": "2025-01-12T21:51:48.846645Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "# Invoke SQL query and display results.\n",
+    "%sql SELECT * FROM sys.summits ORDER BY height DESC;"
+   ],
+   "id": "d04e59f04fce1b2f",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Running query in 'crate://'"
+      ],
+      "text/html": [
+       "<span style=\"None\">Running query in &#x27;crate://&#x27;</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "1605 rows affected."
+      ],
+      "text/html": [
+       "<span style=\"color: green\">1605 rows affected.</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "+----------------+---------------------+---------+--------------+--------+----------------+------------+---------------+----------------------+\n",
+       "| classification |     coordinates     | country | first_ascent | height |    mountain    | prominence |     range     |        region        |\n",
+       "+----------------+---------------------+---------+--------------+--------+----------------+------------+---------------+----------------------+\n",
+       "|   I/B-07.V-B   |  [6.86444, 45.8325] |  FR/IT  |     1786     |  4808  |   Mont Blanc   |    4695    | U-Savoy/Aosta |  Mont Blanc massif   |\n",
+       "|  I/B-09.III-A  | [7.86694, 45.93694] |    CH   |     1855     |  4634  |   Monte Rosa   |    2165    |     Valais    |   Monte Rosa Alps    |\n",
+       "|   I/B-09.V-A   | [7.85889, 46.09389] |    CH   |     1858     |  4545  |      Dom       |    1046    |     Valais    |      Mischabel       |\n",
+       "|  I/B-09.III-A  | [7.83556, 45.92222] |  CH/IT  |     1861     |  4527  |    Liskamm     |    376     |  Valais/Aosta |   Monte Rosa Alps    |\n",
+       "|  I/B-09.II-D   | [7.71583, 46.10139] |    CH   |     1861     |  4506  |   Weisshorn    |    1235    |     Valais    | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-A   | [7.65861, 45.97639] |  CH/IT  |     1865     |  4478  |   Matterhorn   |    1042    |  Valais/Aosta | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-C   | [7.61194, 46.03417] |    CH   |     1862     |  4357  |  Dent Blanche  |    915     |     Valais    | Weisshorn-Matterhorn |\n",
+       "|   I/B-09.I-B   |  [7.29917, 45.9375] |    CH   |     1859     |  4314  |  Grand Combin  |    1517    |     Valais    |  Grand Combin Alps   |\n",
+       "|  I/B-12.II-A   | [8.12611, 46.53722] |    CH   |     1829     |  4274  | Finsteraarhorn |    2280    |  Bern/Valais  |     Bernese Alps     |\n",
+       "|  I/B-09.II-D   |  [7.69028, 46.065]  |    CH   |     1864     |  4221  |  Zinalrothorn  |    490     |     Valais    | Weisshorn-Matterhorn |\n",
+       "+----------------+---------------------+---------+--------------+--------+----------------+------------+---------------+----------------------+\n",
+       "Truncated to displaylimit of 10."
+      ],
+      "text/html": [
+       "<table>\n",
+       "    <thead>\n",
+       "        <tr>\n",
+       "            <th>classification</th>\n",
+       "            <th>coordinates</th>\n",
+       "            <th>country</th>\n",
+       "            <th>first_ascent</th>\n",
+       "            <th>height</th>\n",
+       "            <th>mountain</th>\n",
+       "            <th>prominence</th>\n",
+       "            <th>range</th>\n",
+       "            <th>region</th>\n",
+       "        </tr>\n",
+       "    </thead>\n",
+       "    <tbody>\n",
+       "        <tr>\n",
+       "            <td>I/B-07.V-B</td>\n",
+       "            <td>[6.86444, 45.8325]</td>\n",
+       "            <td>FR/IT</td>\n",
+       "            <td>1786</td>\n",
+       "            <td>4808</td>\n",
+       "            <td>Mont Blanc</td>\n",
+       "            <td>4695</td>\n",
+       "            <td>U-Savoy/Aosta</td>\n",
+       "            <td>Mont Blanc massif</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.III-A</td>\n",
+       "            <td>[7.86694, 45.93694]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1855</td>\n",
+       "            <td>4634</td>\n",
+       "            <td>Monte Rosa</td>\n",
+       "            <td>2165</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Monte Rosa Alps</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.V-A</td>\n",
+       "            <td>[7.85889, 46.09389]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1858</td>\n",
+       "            <td>4545</td>\n",
+       "            <td>Dom</td>\n",
+       "            <td>1046</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Mischabel</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.III-A</td>\n",
+       "            <td>[7.83556, 45.92222]</td>\n",
+       "            <td>CH/IT</td>\n",
+       "            <td>1861</td>\n",
+       "            <td>4527</td>\n",
+       "            <td>Liskamm</td>\n",
+       "            <td>376</td>\n",
+       "            <td>Valais/Aosta</td>\n",
+       "            <td>Monte Rosa Alps</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-D</td>\n",
+       "            <td>[7.71583, 46.10139]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1861</td>\n",
+       "            <td>4506</td>\n",
+       "            <td>Weisshorn</td>\n",
+       "            <td>1235</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-A</td>\n",
+       "            <td>[7.65861, 45.97639]</td>\n",
+       "            <td>CH/IT</td>\n",
+       "            <td>1865</td>\n",
+       "            <td>4478</td>\n",
+       "            <td>Matterhorn</td>\n",
+       "            <td>1042</td>\n",
+       "            <td>Valais/Aosta</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-C</td>\n",
+       "            <td>[7.61194, 46.03417]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1862</td>\n",
+       "            <td>4357</td>\n",
+       "            <td>Dent Blanche</td>\n",
+       "            <td>915</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.I-B</td>\n",
+       "            <td>[7.29917, 45.9375]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1859</td>\n",
+       "            <td>4314</td>\n",
+       "            <td>Grand Combin</td>\n",
+       "            <td>1517</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Grand Combin Alps</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-12.II-A</td>\n",
+       "            <td>[8.12611, 46.53722]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1829</td>\n",
+       "            <td>4274</td>\n",
+       "            <td>Finsteraarhorn</td>\n",
+       "            <td>2280</td>\n",
+       "            <td>Bern/Valais</td>\n",
+       "            <td>Bernese Alps</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-D</td>\n",
+       "            <td>[7.69028, 46.065]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1864</td>\n",
+       "            <td>4221</td>\n",
+       "            <td>Zinalrothorn</td>\n",
+       "            <td>490</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "    </tbody>\n",
+       "</table>\n",
+       "<span style=\"font-style:italic;text-align:center;\">Truncated to <a href=\"https://jupysql.ploomber.io/en/latest/api/configuration.html#displaylimit\">displaylimit</a> of 10.</span>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 4
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "## DDL reflection\n",
+    "\n",
+    "Inspect tables and table definitions."
+   ],
+   "id": "a9908656a3d953c6"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T21:55:26.204987Z",
+     "start_time": "2025-01-12T21:55:26.190942Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "%sqlcmd tables --schema sys",
+   "id": "4fb7412a52fe9c73",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "+------------------+\n",
+       "|       Name       |\n",
+       "+------------------+\n",
+       "|   allocations    |\n",
+       "|      checks      |\n",
+       "|     cluster      |\n",
+       "|      health      |\n",
+       "|       jobs       |\n",
+       "|     jobs_log     |\n",
+       "|   jobs_metrics   |\n",
+       "|   node_checks    |\n",
+       "|      nodes       |\n",
+       "|    operations    |\n",
+       "|  operations_log  |\n",
+       "|    privileges    |\n",
+       "|   repositories   |\n",
+       "|      roles       |\n",
+       "|     segments     |\n",
+       "|     sessions     |\n",
+       "|      shards      |\n",
+       "| snapshot_restore |\n",
+       "|    snapshots     |\n",
+       "|     summits      |\n",
+       "|      users       |\n",
+       "+------------------+"
+      ],
+      "text/html": [
+       "<table>\n",
+       "    <thead>\n",
+       "        <tr>\n",
+       "            <th>Name</th>\n",
+       "        </tr>\n",
+       "    </thead>\n",
+       "    <tbody>\n",
+       "        <tr>\n",
+       "            <td>allocations</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>checks</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>cluster</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>health</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>jobs</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>jobs_log</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>jobs_metrics</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>node_checks</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>nodes</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>operations</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>operations_log</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>privileges</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>repositories</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>roles</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>segments</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>sessions</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>shards</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>snapshot_restore</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>snapshots</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>summits</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>users</td>\n",
+       "        </tr>\n",
+       "    </tbody>\n",
+       "</table>"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 22
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T21:55:12.887615Z",
+     "start_time": "2025-01-12T21:55:12.790165Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "%sqlcmd columns --table sys.summits",
+   "id": "4e180a5b9132c1ca",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "+----------------+-------------------+----------+\n",
+       "|      name      |        type       | nullable |\n",
+       "+----------------+-------------------+----------+\n",
+       "| classification |      VARCHAR      |   True   |\n",
+       "|  coordinates   | UserDefinedType() |   True   |\n",
+       "|    country     |      VARCHAR      |   True   |\n",
+       "|  first_ascent  |      INTEGER      |   True   |\n",
+       "|     height     |      INTEGER      |   True   |\n",
+       "|    mountain    |      VARCHAR      |   True   |\n",
+       "|   prominence   |      INTEGER      |   True   |\n",
+       "|     range      |      VARCHAR      |   True   |\n",
+       "|     region     |      VARCHAR      |   True   |\n",
+       "+----------------+-------------------+----------+"
+      ],
+      "text/html": [
+       "<table>\n",
+       "    <thead>\n",
+       "        <tr>\n",
+       "            <th>name</th>\n",
+       "            <th>type</th>\n",
+       "            <th>nullable</th>\n",
+       "        </tr>\n",
+       "    </thead>\n",
+       "    <tbody>\n",
+       "        <tr>\n",
+       "            <td>classification</td>\n",
+       "            <td>VARCHAR</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>coordinates</td>\n",
+       "            <td>UserDefinedType()</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>country</td>\n",
+       "            <td>VARCHAR</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>first_ascent</td>\n",
+       "            <td>INTEGER</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>height</td>\n",
+       "            <td>INTEGER</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>mountain</td>\n",
+       "            <td>VARCHAR</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>prominence</td>\n",
+       "            <td>INTEGER</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>range</td>\n",
+       "            <td>VARCHAR</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>region</td>\n",
+       "            <td>VARCHAR</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "    </tbody>\n",
+       "</table>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 21
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "## Variable expansion\n",
+    "\n",
+    "JupySQL supports variable expansion of arguments in the form of `{{variable}}`.\n",
+    "Let’s see an example of parametrizing `table` and `schema`:"
+   ],
+   "id": "33014aebc88d5f45"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T22:00:13.550895Z",
+     "start_time": "2025-01-12T22:00:13.454615Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "schema = \"sys\"\n",
+    "table = \"jobs\"\n",
+    "\n",
+    "%sqlcmd columns --table {{table}} --schema {{schema}}"
+   ],
+   "id": "10b46da81f93fc41",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "+----------+------------------+----------+\n",
+       "|   name   |       type       | nullable |\n",
+       "+----------+------------------+----------+\n",
+       "|    id    |     VARCHAR      |   True   |\n",
+       "|   node   | ObjectTypeImpl() |   True   |\n",
+       "| started  |    TIMESTAMP     |   True   |\n",
+       "|   stmt   |     VARCHAR      |   True   |\n",
+       "| username |     VARCHAR      |   True   |\n",
+       "+----------+------------------+----------+"
+      ],
+      "text/html": [
+       "<table>\n",
+       "    <thead>\n",
+       "        <tr>\n",
+       "            <th>name</th>\n",
+       "            <th>type</th>\n",
+       "            <th>nullable</th>\n",
+       "        </tr>\n",
+       "    </thead>\n",
+       "    <tbody>\n",
+       "        <tr>\n",
+       "            <td>id</td>\n",
+       "            <td>VARCHAR</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>node</td>\n",
+       "            <td>ObjectTypeImpl()</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>started</td>\n",
+       "            <td>TIMESTAMP</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>stmt</td>\n",
+       "            <td>VARCHAR</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>username</td>\n",
+       "            <td>VARCHAR</td>\n",
+       "            <td>True</td>\n",
+       "        </tr>\n",
+       "    </tbody>\n",
+       "</table>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 24
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "## Plotting\n",
+    "\n",
+    "The [ggplot API] is structured around the principles of the grammar of graphics,\n",
+    "and allows you to build any graph using the same components: a data set, a\n",
+    "coordinate system, and geoms (geometric objects). It is suitable for plotting\n",
+    "larger-than-memory datasets on any laptop.\n",
+    "\n",
+    "[ggplot API]: https://jupysql.ploomber.io/en/latest/user-guide/ggplot.html"
+   ],
+   "id": "47164a73a987463e"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-13T00:11:54.228327Z",
+     "start_time": "2025-01-13T00:11:49.775313Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "# Acquire and import data.\n",
+    "from csvkit.utilities.csvsql import CSVSQL\n",
+    "from urllib.request import urlretrieve\n",
+    "from pathlib import Path\n",
+    "\n",
+    "if not Path(\"diamonds.csv\").is_file():\n",
+    "    urlretrieve(\n",
+    "        \"https://github.com/tidyverse/ggplot2/raw/refs/heads/main/data-raw/diamonds.csv\",\n",
+    "        \"diamonds.csv\",\n",
+    "    )\n",
+    "\n",
+    "CSVSQL(args=[\"--db\", \"crate://\", \"--insert\", \"diamonds.csv\", \"--overwrite\"]).run()"
+   ],
+   "id": "9cdd96bf40b37d8c",
+   "outputs": [],
+   "execution_count": 106
+  },
+  {
+   "metadata": {
+    "tags": [
+     "hide-output"
+    ],
+    "ExecuteTime": {
+     "end_time": "2025-01-12T23:54:50.255142Z",
+     "start_time": "2025-01-12T23:54:50.106092Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "from sql.ggplot import ggplot, aes, geom_histogram\n",
+    "\n",
+    "(ggplot(\"diamonds\", aes(x=\"cut\")) + geom_histogram())"
+   ],
+   "id": "352765e762d44252",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sql.ggplot.ggplot.ggplot at 0x13024ec00>"
+      ]
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 89
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T22:29:16.746106Z",
+     "start_time": "2025-01-12T22:29:16.435407Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "(ggplot(\"diamonds\", aes(x=[\"color\", \"carat\"])) + geom_histogram(bins=30))",
+   "id": "6e22c8377a28ccc2",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sql.ggplot.ggplot.ggplot at 0x12cc4fb00>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 11
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "## Parameterizing SQL queries\n",
+    "\n",
+    "JupySQL provides powerful SQL parametrization capabilities, either using traditional\n",
+    "`:variable`-style interpolation for SQLAlchemy-compatible databases, or using\n",
+    "Jinja templates for enabling SQL query parametrization with `{{variable}}`.\n",
+    "\n",
+    "The latter provides a versatile little programming system providing data filtering,\n",
+    "SQL generation, macros, snippets, and optionally combining all with Python code.\n",
+    "\n",
+    "See [JupySQL templating].\n",
+    "\n",
+    "[JupySQL templating]: https://jupysql.ploomber.io/en/latest/user-guide/template.html"
+   ],
+   "id": "cac01128c3aae33f"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "### Traditional",
+   "id": "b5a0c621f6571c5d"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T22:52:25.657179Z",
+     "start_time": "2025-01-12T22:52:25.648986Z"
+    }
+   },
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": 29,
+   "source": [
+    "%config SqlMagic.displaylimit = 20\n",
+    "%config SqlMagic.named_parameters = \"enabled\"\n",
+    "\n",
+    "country = \"CH\"\n",
+    "region = \"%matterhorn%\""
+   ],
+   "id": "665bde489df6c6b3"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T22:52:33.155918Z",
+     "start_time": "2025-01-12T22:52:33.133616Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "%%sql\n",
+    "SELECT *\n",
+    "FROM sys.summits\n",
+    "WHERE\n",
+    "    country = :country\n",
+    "    AND\n",
+    "    region ILIKE :region\n",
+    "ORDER BY height DESC;"
+   ],
+   "id": "6c35015aa02ae97",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Running query in 'crate://'"
+      ],
+      "text/html": [
+       "<span style=\"None\">Running query in &#x27;crate://&#x27;</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "12 rows affected."
+      ],
+      "text/html": [
+       "<span style=\"color: green\">12 rows affected.</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "+----------------+---------------------+---------+--------------+--------+-----------------+------------+--------+----------------------+\n",
+       "| classification |     coordinates     | country | first_ascent | height |     mountain    | prominence | range  |        region        |\n",
+       "+----------------+---------------------+---------+--------------+--------+-----------------+------------+--------+----------------------+\n",
+       "|  I/B-09.II-D   | [7.71583, 46.10139] |    CH   |     1861     |  4506  |    Weisshorn    |    1235    | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-C   | [7.61194, 46.03417] |    CH   |     1862     |  4357  |   Dent Blanche  |    915     | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-D   |  [7.69028, 46.065]  |    CH   |     1864     |  4221  |   Zinalrothorn  |    490     | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-D   | [7.66806, 46.03861] |    CH   |     1865     |  4063  |  Ober Gabelhorn |    536     | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-C   | [7.61139, 46.05194] |    CH   |     1865     |  3962  |  Grand Cornier  |    431     | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-D   | [7.74556, 46.12583] |    CH   |     1865     |  3833  |   Brunegghorn   |    293     | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-C   | [7.63056, 46.02694] |    CH   |     1870     |  3789  | Pointe de Zinal |    301     | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-A   | [7.52306, 46.03944] |    CH   |     1871     |  3676  |  Dent de Perroc |    408     | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-D   |  [7.67111, 46.1425] |    CH   |     1863     |  3609  |   Les Diablons  |    379     | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-C   | [7.52528, 46.13861] |    CH   |     1835     |  3254  |    Sasseneire   |    386     | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-D   | [7.75667, 46.21667] |    CH   |     None     |  3201  |   Schwarzhorn   |    308     | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-C   | [7.51806, 46.16778] |    CH   |     None     |  3149  |  Becs de Bosson |    362     | Valais | Weisshorn-Matterhorn |\n",
+       "+----------------+---------------------+---------+--------------+--------+-----------------+------------+--------+----------------------+"
+      ],
+      "text/html": [
+       "<table>\n",
+       "    <thead>\n",
+       "        <tr>\n",
+       "            <th>classification</th>\n",
+       "            <th>coordinates</th>\n",
+       "            <th>country</th>\n",
+       "            <th>first_ascent</th>\n",
+       "            <th>height</th>\n",
+       "            <th>mountain</th>\n",
+       "            <th>prominence</th>\n",
+       "            <th>range</th>\n",
+       "            <th>region</th>\n",
+       "        </tr>\n",
+       "    </thead>\n",
+       "    <tbody>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-D</td>\n",
+       "            <td>[7.71583, 46.10139]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1861</td>\n",
+       "            <td>4506</td>\n",
+       "            <td>Weisshorn</td>\n",
+       "            <td>1235</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-C</td>\n",
+       "            <td>[7.61194, 46.03417]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1862</td>\n",
+       "            <td>4357</td>\n",
+       "            <td>Dent Blanche</td>\n",
+       "            <td>915</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-D</td>\n",
+       "            <td>[7.69028, 46.065]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1864</td>\n",
+       "            <td>4221</td>\n",
+       "            <td>Zinalrothorn</td>\n",
+       "            <td>490</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-D</td>\n",
+       "            <td>[7.66806, 46.03861]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1865</td>\n",
+       "            <td>4063</td>\n",
+       "            <td>Ober Gabelhorn</td>\n",
+       "            <td>536</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-C</td>\n",
+       "            <td>[7.61139, 46.05194]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1865</td>\n",
+       "            <td>3962</td>\n",
+       "            <td>Grand Cornier</td>\n",
+       "            <td>431</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-D</td>\n",
+       "            <td>[7.74556, 46.12583]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1865</td>\n",
+       "            <td>3833</td>\n",
+       "            <td>Brunegghorn</td>\n",
+       "            <td>293</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-C</td>\n",
+       "            <td>[7.63056, 46.02694]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1870</td>\n",
+       "            <td>3789</td>\n",
+       "            <td>Pointe de Zinal</td>\n",
+       "            <td>301</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-A</td>\n",
+       "            <td>[7.52306, 46.03944]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1871</td>\n",
+       "            <td>3676</td>\n",
+       "            <td>Dent de Perroc</td>\n",
+       "            <td>408</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-D</td>\n",
+       "            <td>[7.67111, 46.1425]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1863</td>\n",
+       "            <td>3609</td>\n",
+       "            <td>Les Diablons</td>\n",
+       "            <td>379</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-C</td>\n",
+       "            <td>[7.52528, 46.13861]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1835</td>\n",
+       "            <td>3254</td>\n",
+       "            <td>Sasseneire</td>\n",
+       "            <td>386</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-D</td>\n",
+       "            <td>[7.75667, 46.21667]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>None</td>\n",
+       "            <td>3201</td>\n",
+       "            <td>Schwarzhorn</td>\n",
+       "            <td>308</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-C</td>\n",
+       "            <td>[7.51806, 46.16778]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>None</td>\n",
+       "            <td>3149</td>\n",
+       "            <td>Becs de Bosson</td>\n",
+       "            <td>362</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "    </tbody>\n",
+       "</table>"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 31
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "### Jinja",
+   "id": "18df23f4f78b5428"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T22:55:18.601726Z",
+     "start_time": "2025-01-12T22:55:18.594163Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "%config SqlMagic.displaylimit = 5\n",
+    "%config SqlMagic.named_parameters = \"disabled\"\n",
+    "\n",
+    "country = \"CH\"\n",
+    "region = \"%matterhorn%\""
+   ],
+   "id": "e119190312afae40",
+   "outputs": [],
+   "execution_count": 36
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T22:55:19.274595Z",
+     "start_time": "2025-01-12T22:55:19.257308Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "%%sql\n",
+    "SELECT *\n",
+    "FROM sys.summits\n",
+    "WHERE\n",
+    "    country = '{{ country }}'\n",
+    "    AND\n",
+    "    region ILIKE '{{ region }}'\n",
+    "ORDER BY height DESC;"
+   ],
+   "id": "a5b0a0495c9fc6c1",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Running query in 'crate://'"
+      ],
+      "text/html": [
+       "<span style=\"None\">Running query in &#x27;crate://&#x27;</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "12 rows affected."
+      ],
+      "text/html": [
+       "<span style=\"color: green\">12 rows affected.</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "+----------------+---------------------+---------+--------------+--------+----------------+------------+--------+----------------------+\n",
+       "| classification |     coordinates     | country | first_ascent | height |    mountain    | prominence | range  |        region        |\n",
+       "+----------------+---------------------+---------+--------------+--------+----------------+------------+--------+----------------------+\n",
+       "|  I/B-09.II-D   | [7.71583, 46.10139] |    CH   |     1861     |  4506  |   Weisshorn    |    1235    | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-C   | [7.61194, 46.03417] |    CH   |     1862     |  4357  |  Dent Blanche  |    915     | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-D   |  [7.69028, 46.065]  |    CH   |     1864     |  4221  |  Zinalrothorn  |    490     | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-D   | [7.66806, 46.03861] |    CH   |     1865     |  4063  | Ober Gabelhorn |    536     | Valais | Weisshorn-Matterhorn |\n",
+       "|  I/B-09.II-C   | [7.61139, 46.05194] |    CH   |     1865     |  3962  | Grand Cornier  |    431     | Valais | Weisshorn-Matterhorn |\n",
+       "+----------------+---------------------+---------+--------------+--------+----------------+------------+--------+----------------------+\n",
+       "Truncated to displaylimit of 5."
+      ],
+      "text/html": [
+       "<table>\n",
+       "    <thead>\n",
+       "        <tr>\n",
+       "            <th>classification</th>\n",
+       "            <th>coordinates</th>\n",
+       "            <th>country</th>\n",
+       "            <th>first_ascent</th>\n",
+       "            <th>height</th>\n",
+       "            <th>mountain</th>\n",
+       "            <th>prominence</th>\n",
+       "            <th>range</th>\n",
+       "            <th>region</th>\n",
+       "        </tr>\n",
+       "    </thead>\n",
+       "    <tbody>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-D</td>\n",
+       "            <td>[7.71583, 46.10139]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1861</td>\n",
+       "            <td>4506</td>\n",
+       "            <td>Weisshorn</td>\n",
+       "            <td>1235</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-C</td>\n",
+       "            <td>[7.61194, 46.03417]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1862</td>\n",
+       "            <td>4357</td>\n",
+       "            <td>Dent Blanche</td>\n",
+       "            <td>915</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-D</td>\n",
+       "            <td>[7.69028, 46.065]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1864</td>\n",
+       "            <td>4221</td>\n",
+       "            <td>Zinalrothorn</td>\n",
+       "            <td>490</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-D</td>\n",
+       "            <td>[7.66806, 46.03861]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1865</td>\n",
+       "            <td>4063</td>\n",
+       "            <td>Ober Gabelhorn</td>\n",
+       "            <td>536</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.II-C</td>\n",
+       "            <td>[7.61139, 46.05194]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1865</td>\n",
+       "            <td>3962</td>\n",
+       "            <td>Grand Cornier</td>\n",
+       "            <td>431</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Weisshorn-Matterhorn</td>\n",
+       "        </tr>\n",
+       "    </tbody>\n",
+       "</table>\n",
+       "<span style=\"font-style:italic;text-align:center;\">Truncated to <a href=\"https://jupysql.ploomber.io/en/latest/api/configuration.html#displaylimit\">displaylimit</a> of 5.</span>"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 37
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "## Parameterizing arguments",
+   "id": "d70451beba191b58"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T23:04:19.208071Z",
+     "start_time": "2025-01-12T23:04:19.202485Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "%config SqlMagic.displaylimit = 3\n",
+    "\n",
+    "table = \"summits\""
+   ],
+   "id": "43a1cd177b996602",
+   "outputs": [],
+   "execution_count": 64
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T22:59:03.323504Z",
+     "start_time": "2025-01-12T22:59:03.290720Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "%%sql --save {{table}}\n",
+    "SELECT *\n",
+    "FROM sys.summits"
+   ],
+   "id": "24f32a4b4a61e720",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Running query in 'crate://'"
+      ],
+      "text/html": [
+       "<span style=\"None\">Running query in &#x27;crate://&#x27;</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "1605 rows affected."
+      ],
+      "text/html": [
+       "<span style=\"color: green\">1605 rows affected.</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "+----------------+---------------------+---------+--------------+--------+------------+------------+---------------+-------------------+\n",
+       "| classification |     coordinates     | country | first_ascent | height |  mountain  | prominence |     range     |       region      |\n",
+       "+----------------+---------------------+---------+--------------+--------+------------+------------+---------------+-------------------+\n",
+       "|   I/B-07.V-B   |  [6.86444, 45.8325] |  FR/IT  |     1786     |  4808  | Mont Blanc |    4695    | U-Savoy/Aosta | Mont Blanc massif |\n",
+       "|  I/B-09.III-A  | [7.86694, 45.93694] |    CH   |     1855     |  4634  | Monte Rosa |    2165    |     Valais    |  Monte Rosa Alps  |\n",
+       "|   I/B-09.V-A   | [7.85889, 46.09389] |    CH   |     1858     |  4545  |    Dom     |    1046    |     Valais    |     Mischabel     |\n",
+       "+----------------+---------------------+---------+--------------+--------+------------+------------+---------------+-------------------+\n",
+       "Truncated to displaylimit of 3."
+      ],
+      "text/html": [
+       "<table>\n",
+       "    <thead>\n",
+       "        <tr>\n",
+       "            <th>classification</th>\n",
+       "            <th>coordinates</th>\n",
+       "            <th>country</th>\n",
+       "            <th>first_ascent</th>\n",
+       "            <th>height</th>\n",
+       "            <th>mountain</th>\n",
+       "            <th>prominence</th>\n",
+       "            <th>range</th>\n",
+       "            <th>region</th>\n",
+       "        </tr>\n",
+       "    </thead>\n",
+       "    <tbody>\n",
+       "        <tr>\n",
+       "            <td>I/B-07.V-B</td>\n",
+       "            <td>[6.86444, 45.8325]</td>\n",
+       "            <td>FR/IT</td>\n",
+       "            <td>1786</td>\n",
+       "            <td>4808</td>\n",
+       "            <td>Mont Blanc</td>\n",
+       "            <td>4695</td>\n",
+       "            <td>U-Savoy/Aosta</td>\n",
+       "            <td>Mont Blanc massif</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.III-A</td>\n",
+       "            <td>[7.86694, 45.93694]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1855</td>\n",
+       "            <td>4634</td>\n",
+       "            <td>Monte Rosa</td>\n",
+       "            <td>2165</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Monte Rosa Alps</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>I/B-09.V-A</td>\n",
+       "            <td>[7.85889, 46.09389]</td>\n",
+       "            <td>CH</td>\n",
+       "            <td>1858</td>\n",
+       "            <td>4545</td>\n",
+       "            <td>Dom</td>\n",
+       "            <td>1046</td>\n",
+       "            <td>Valais</td>\n",
+       "            <td>Mischabel</td>\n",
+       "        </tr>\n",
+       "    </tbody>\n",
+       "</table>\n",
+       "<span style=\"font-style:italic;text-align:center;\">Truncated to <a href=\"https://jupysql.ploomber.io/en/latest/api/configuration.html#displaylimit\">displaylimit</a> of 3.</span>"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 41
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "## Profile and explore",
+   "id": "65e9ec4e4e65a30c"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T23:07:17.175366Z",
+     "start_time": "2025-01-12T23:07:16.893241Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "%sqlcmd profile --table sys.summits",
+   "id": "97ae14e6a3b18ba",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "+--------+----------------+----------------------+---------+--------------+-----------+-------------+------------+-------------+-------------------+\n",
+       "|        | classification |     coordinates      | country | first_ascent |   height  |   mountain  | prominence |    range    |       region      |\n",
+       "+--------+----------------+----------------------+---------+--------------+-----------+-------------+------------+-------------+-------------------+\n",
+       "| count  |      1605      |                      |   1605  |     600      |    1605   |     1605    |    1605    |     1605    |        1605       |\n",
+       "| unique |      261       |                      |    17   |     111      |    1059   |     1583    |    614     |     170     |        136        |\n",
+       "|  top   |  II/A-15.VI-A  | [10.61417, 46.30861] |    IT   |     nan      |    nan    | Schwarzhorn |    nan     | North Tyrol | Massif des Écrins |\n",
+       "|  freq  |       21       |          2           |   436   |     nan      |    nan    |      4      |    nan     |     150     |         48        |\n",
+       "|  mean  |      nan       |         nan          |   nan   |  1859.1533   | 2811.9184 |     nan     |  556.1564  |     nan     |        nan        |\n",
+       "|  min   |      nan       |         nan          |   nan   |     1358     |    1996   |     nan     |    170     |     nan     |        nan        |\n",
+       "|  max   |      nan       |         nan          |   nan   |     1905     |    4808   |     nan     |    4695    |     nan     |        nan        |\n",
+       "+--------+----------------+----------------------+---------+--------------+-----------+-------------+------------+-------------+-------------------+"
+      ],
+      "text/html": [
+       "<div style='position: sticky; left: 0; padding: 10px; font-size: 12px; color: #FFA500'><strong></strong> Following statistics are not available in\n",
+       "            crate-python: STD, 25%, 50%, 75%</div><style>\n",
+       " #profile-table td:first-child {\n",
+       "  position: sticky;\n",
+       "  left: 0;\n",
+       "  background-color: var(--jp-cell-editor-background);\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       " #profile-table thead tr th:first-child {\n",
+       "  position: sticky;\n",
+       "  left: 0;\n",
+       "  background-color: var(--jp-cell-editor-background);\n",
+       "  font-weight: bold; /* Adding bold text */\n",
+       "}\n",
+       "            </style><style></style><table id=\"profile-table-9889318a602549b780c051ac7be6bd94\">\n",
+       "    <thead>\n",
+       "        <tr>\n",
+       "            <th> </th>\n",
+       "            <th>classification</th>\n",
+       "            <th>coordinates</th>\n",
+       "            <th>country</th>\n",
+       "            <th>first_ascent</th>\n",
+       "            <th>height</th>\n",
+       "            <th>mountain</th>\n",
+       "            <th>prominence</th>\n",
+       "            <th>range</th>\n",
+       "            <th>region</th>\n",
+       "        </tr>\n",
+       "    </thead>\n",
+       "    <tbody>\n",
+       "        <tr>\n",
+       "            <td>count</td>\n",
+       "            <td>1605</td>\n",
+       "            <td></td>\n",
+       "            <td>1605</td>\n",
+       "            <td>600</td>\n",
+       "            <td>1605</td>\n",
+       "            <td>1605</td>\n",
+       "            <td>1605</td>\n",
+       "            <td>1605</td>\n",
+       "            <td>1605</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>unique</td>\n",
+       "            <td>261</td>\n",
+       "            <td></td>\n",
+       "            <td>17</td>\n",
+       "            <td>111</td>\n",
+       "            <td>1059</td>\n",
+       "            <td>1583</td>\n",
+       "            <td>614</td>\n",
+       "            <td>170</td>\n",
+       "            <td>136</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>top</td>\n",
+       "            <td>II/A-15.VI-A</td>\n",
+       "            <td>[10.61417, 46.30861]</td>\n",
+       "            <td>IT</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>Schwarzhorn</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>North Tyrol</td>\n",
+       "            <td>Massif des Écrins</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>freq</td>\n",
+       "            <td>21</td>\n",
+       "            <td>2</td>\n",
+       "            <td>436</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>4</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>150</td>\n",
+       "            <td>48</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>mean</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>1859.1533</td>\n",
+       "            <td>2811.9184</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>556.1564</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>nan</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>min</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>1358</td>\n",
+       "            <td>1996</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>170</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>nan</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <td>max</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>1905</td>\n",
+       "            <td>4808</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>4695</td>\n",
+       "            <td>nan</td>\n",
+       "            <td>nan</td>\n",
+       "        </tr>\n",
+       "    </tbody>\n",
+       "</table><div style='position: sticky; left: 0; padding: 10px; font-size: 12px; color: black; background-color: white;'><strong></strong> </div>"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 75
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T23:07:22.106803Z",
+     "start_time": "2025-01-12T23:07:22.078122Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "%sqlcmd explore --table sys.summits",
+   "id": "bf014db76f9759d9",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sql.widgets.table_widget.table_widget.TableWidget at 0x12e0810a0>"
+      ],
+      "text/html": [
+       "\n",
+       "    <style>.sort-button {\n",
+       "    background: none;\n",
+       "    border: none;\n",
+       "}\n",
+       "\n",
+       ".sort-button.selected {\n",
+       "    background: #efefef;\n",
+       "    border: 1px solid #767676;\n",
+       "}\n",
+       "\n",
+       ".pages-buttons button.selected {\n",
+       "    background: #efefef;\n",
+       "    border: 1px solid #767676;\n",
+       "    border-radius: 2px;\n",
+       "}\n",
+       ".pages-buttons button {\n",
+       "    background: none;\n",
+       "    border: none;\n",
+       "    padding: 0 10px;\n",
+       "}\n",
+       ".jupysql-table-widget {\n",
+       "    display: inline;\n",
+       "}</style>\n",
+       "    \n",
+       "            <div id=\"tableContainer_1736723242\" class=\"table-container\"></div>\n",
+       "            \n",
+       "    <script>function isJupyterNotebook() {\n",
+       "    return window[\"Jupyter\"];\n",
+       "}\n",
+       "\n",
+       "function getTable(element) {\n",
+       "    let table;\n",
+       "    if (element) {\n",
+       "        const tableContainer = element.closest(\".table-container\");\n",
+       "        table = tableContainer.querySelector(\"table\");\n",
+       "    } else {\n",
+       "        const _isJupyterNotebook = isJupyterNotebook();\n",
+       "        if (_isJupyterNotebook) {\n",
+       "            table = document.querySelector(\".selected .table-container table\");\n",
+       "        } else {\n",
+       "            table = document.querySelector(\".jp-Cell.jp-mod-active .table-container table\");\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    return table;\n",
+       "}\n",
+       "\n",
+       "function getSortDetails() {\n",
+       "    let sort = undefined;\n",
+       "\n",
+       "    const table = getTable();\n",
+       "    if (table) {\n",
+       "        const column = table.getAttribute(\"sort-by-column\");\n",
+       "        const order = table.getAttribute(\"sort-by-order\");\n",
+       "\n",
+       "        if (column && order) {\n",
+       "            sort = {\n",
+       "                \"column\" : column,\n",
+       "                \"order\" : order\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    return sort;\n",
+       "}\n",
+       "\n",
+       "function sortColumnClick(element, column, order, callback) {\n",
+       "    // fetch data with sort logic\n",
+       "    const table = getTable(element);\n",
+       "    table.setAttribute(\"sort-by-column\", column);\n",
+       "    table.setAttribute(\"sort-by-order\", order);\n",
+       "    const rowsPerPage = table.getAttribute(\"rows-per-page\");\n",
+       "    const currrPage = table.getAttribute(\"curr-page-idx\");\n",
+       "\n",
+       "    const sort = {\n",
+       "        'column' : column,\n",
+       "        'order' : order\n",
+       "    }\n",
+       "\n",
+       "    const fetchParameters = {\n",
+       "        rowsPerPage : parseInt(rowsPerPage),\n",
+       "        page : parseInt(currrPage),\n",
+       "        sort : sort,\n",
+       "        table : table.getAttribute(\"table-name\")\n",
+       "    }\n",
+       "\n",
+       "    fetchTableData(fetchParameters, callback)\n",
+       "}\n",
+       "\n",
+       "function fetchTableData(fetchParameters, callback) {\n",
+       "    \n",
+       "    sendObject = {\n",
+       "        'nRows' : fetchParameters.rowsPerPage,\n",
+       "        'page': fetchParameters.page,\n",
+       "        'table' : fetchParameters.table\n",
+       "    }\n",
+       "\n",
+       "    if (fetchParameters.sort) {\n",
+       "        sendObject.sort = fetchParameters.sort\n",
+       "    }\n",
+       "\n",
+       "    const _isJupyterNotebook = isJupyterNotebook();\n",
+       "\n",
+       "\n",
+       "    if (_isJupyterNotebook) {\n",
+       "        // for Jupyter Notebook\n",
+       "        const comm =\n",
+       "        Jupyter.notebook.kernel.comm_manager.new_comm('comm_target_handle_table_widget', {})\n",
+       "        comm.send(sendObject)\n",
+       "        comm.on_msg(function(msg) {\n",
+       "            const rows = JSON.parse(msg.content.data['rows']);\n",
+       "            if (callback) {\n",
+       "                callback(rows)\n",
+       "            }\n",
+       "        });\n",
+       "    } else{\n",
+       "        // for JupyterLab\n",
+       "        dispatchEventToKernel(sendObject)\n",
+       "\n",
+       "        const controller = new AbortController();\n",
+       "    \n",
+       "        document.addEventListener('onTableWidgetRowsReady', (customEvent) => {\n",
+       "            const rows = JSON.parse(customEvent.detail.data.rows)\n",
+       "            controller.abort()\n",
+       "            if (callback) {\n",
+       "                callback(rows)\n",
+       "            }\n",
+       "        }, {signal: controller.signal})\n",
+       "    }\n",
+       "\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "function dispatchEventToKernel(data) {\n",
+       "    let customEvent = new CustomEvent('onUpdateTableWidget', {\n",
+       "    bubbles: true,\n",
+       "    cancelable: true,\n",
+       "    composed: false,\n",
+       "    detail : {\n",
+       "        data : data\n",
+       "    }\n",
+       "    });\n",
+       "    document.body.dispatchEvent(customEvent)\n",
+       "}         \n",
+       "\n",
+       "function handleRowsNumberOfRowsChange(e) {\n",
+       "    const rowsPerPage = parseInt(e.value);\n",
+       "    let table = getTable();\n",
+       "    table.setAttribute('rows-per-page', rowsPerPage);\n",
+       "\n",
+       "    const nTotal = table.getAttribute('n-total');\n",
+       "\n",
+       "    const maxPages = Math.ceil(nTotal / rowsPerPage)\n",
+       "    table.setAttribute('max-pages', maxPages);\n",
+       "\n",
+       "    const fetchParameters = {\n",
+       "        rowsPerPage : rowsPerPage,\n",
+       "        page : 0,\n",
+       "        sort : getSortDetails(),\n",
+       "        table : table.getAttribute(\"table-name\")\n",
+       "    }\n",
+       "\n",
+       "    setTimeout(() => {\n",
+       "        fetchTableData(fetchParameters, (rows) => {\n",
+       "            updateTable(rows);\n",
+       "        })\n",
+       "    }, 100);\n",
+       "}\n",
+       "\n",
+       "function updateTable(rows, currPage, tableToUpdate) {\n",
+       "    const table = tableToUpdate || getTable();\n",
+       "    const trs = table.querySelectorAll(\"tbody tr\");\n",
+       "    const tbody = table.querySelector(\"tbody\");\n",
+       "    tbody.innerHTML = \"\";\n",
+       "\n",
+       "    const _html = createTableRows(rows)\n",
+       "\n",
+       "    tbody.innerHTML = _html\n",
+       "\n",
+       "    setTimeout(() => {\n",
+       "        updatePaginationBar(table, currPage || 0)\n",
+       "    }, 100)\n",
+       "}\n",
+       "\n",
+       "function createTableRows(rows) {\n",
+       "    const _html = rows.map(function(row) {\n",
+       "        const tds =\n",
+       "        Object.keys(row).map(function(key) {\n",
+       "\n",
+       "            return \"<td>\" + row[key] + \"</td>\"\n",
+       "        }).join(\"\") ;\n",
+       "        return \"<tr>\" + tds + \"</tr>\";\n",
+       "    }).join(\"\");\n",
+       "\n",
+       "    return _html\n",
+       "}\n",
+       "\n",
+       "function showTablePage(page, rowsPerPage, data) {\n",
+       "    const table = getTable();\n",
+       "    const trs = table.querySelectorAll(\"tbody tr\");\n",
+       "    const tbody = table.querySelector(\"tbody\");\n",
+       "    tbody.innerHTML = \"\";\n",
+       "\n",
+       "    const rows = data;\n",
+       "    const startIndex = page * rowsPerPage;\n",
+       "    const endIndex = startIndex + rowsPerPage;\n",
+       "    const _html = rows.map(row => {\n",
+       "        const tds =\n",
+       "        Object.keys(row).map(key => `<td>${row[key]}</td>`).join(\"\");\n",
+       "        return `<tr>${tds}</tr>`;\n",
+       "    }).join(\"\");\n",
+       "\n",
+       "    tbody.innerHTML = _html;\n",
+       "\n",
+       "    table.setAttribute(\"curr-page-idx\", page);\n",
+       "    updatePaginationBar(table, page);\n",
+       "}\n",
+       "\n",
+       "function nextPageClick(element) {\n",
+       "    const table = getTable(element);\n",
+       "    const currPageIndex = parseInt(table.getAttribute(\"curr-page-idx\"));\n",
+       "    const rowsPerPage = parseInt(table.getAttribute(\"rows-per-page\"));\n",
+       "    const maxPages = parseInt(table.getAttribute(\"max-pages\"));\n",
+       "\n",
+       "    const nextPage = currPageIndex + 1;\n",
+       "    if (nextPage < maxPages) {\n",
+       "        const fetchParameters = {\n",
+       "            rowsPerPage : rowsPerPage,\n",
+       "            page : nextPage,\n",
+       "            sort : getSortDetails(),\n",
+       "            table : table.getAttribute(\"table-name\")\n",
+       "        }\n",
+       "\n",
+       "        fetchTableData(fetchParameters, (rows) => {\n",
+       "            showTablePage(nextPage, rowsPerPage, rows)\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "}\n",
+       "\n",
+       "function prevPageClick() {\n",
+       "    const table = getTable();\n",
+       "    const currPageIndex = parseInt(table.getAttribute(\"curr-page-idx\"));\n",
+       "    const rowsPerPage = parseInt(table.getAttribute(\"rows-per-page\"));\n",
+       "    const prevPage = currPageIndex - 1;\n",
+       "    if (prevPage >= 0) {\n",
+       "        const fetchParameters = {\n",
+       "            rowsPerPage : rowsPerPage,\n",
+       "            page : prevPage,\n",
+       "            sort : getSortDetails(),\n",
+       "            table : table.getAttribute(\"table-name\")\n",
+       "        }\n",
+       "\n",
+       "        fetchTableData(fetchParameters, (rows) => {\n",
+       "            showTablePage(prevPage, rowsPerPage, rows)\n",
+       "        });\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "function setPageButton(table, label, navigateTo, isSelected) {\n",
+       "    const rowsPerPage = parseInt(table.getAttribute(\"rows-per-page\"));\n",
+       "    const selected = isSelected ? \"selected\" : \"\";\n",
+       "\n",
+       "    const button = `\n",
+       "    <button class=\"${selected}\"\n",
+       "            onclick=\"\n",
+       "            fetchTableData({\n",
+       "                rowsPerPage : ${rowsPerPage},\n",
+       "                page : ${navigateTo},\n",
+       "                sort : getSortDetails(),\n",
+       "                table : getTable(this).getAttribute('table-name')\n",
+       "            },\n",
+       "            (rows) => {\n",
+       "                showTablePage(${navigateTo}, ${rowsPerPage}, rows);\n",
+       "                })\"\n",
+       "    >\n",
+       "        ${label}\n",
+       "    </button>\n",
+       "    `\n",
+       "    return button;\n",
+       "}\n",
+       "\n",
+       "function updatePaginationBar(table, currPage) {\n",
+       "    const maxPages = parseInt(table.getAttribute(\"max-pages\"));\n",
+       "    const maxPagesInRow = 6;\n",
+       "    const rowsPerPage = parseInt(table.getAttribute(\"rows-per-page\"));\n",
+       "    table.setAttribute(\"curr-page-idx\", currPage);\n",
+       "\n",
+       "    let buttonsArray = []\n",
+       "\n",
+       "    let startEllipsisAdded = false\n",
+       "    let endEllipsisAdded = false\n",
+       "\n",
+       "    // add first\n",
+       "    let selected = currPage === 0;\n",
+       "    buttonsArray.push(setPageButton(table, \"1\", 0, selected));\n",
+       "\n",
+       "    for (i = 1; i < maxPages - 1; i++) {\n",
+       "        const navigateTo = i;\n",
+       "        const label = i + 1;\n",
+       "        selected = currPage === i;\n",
+       "        const inStartRange = currPage < maxPagesInRow;\n",
+       "        const inEndRange = maxPages - 1 - currPage < maxPagesInRow;\n",
+       "\n",
+       "        if (inStartRange) {\n",
+       "            if (i < maxPagesInRow) {\n",
+       "                buttonsArray\n",
+       "                .push(setPageButton(table, label, navigateTo, selected));\n",
+       "            } else {\n",
+       "            if (!startEllipsisAdded) {\n",
+       "                buttonsArray.push(\"...\");\n",
+       "                startEllipsisAdded = true;\n",
+       "            }\n",
+       "            }\n",
+       "        } else if (inEndRange) {\n",
+       "            if (maxPages - 1 - i < maxPagesInRow) {\n",
+       "                buttonsArray\n",
+       "                .push(setPageButton(table, label, navigateTo, selected));\n",
+       "            } else {\n",
+       "            if (!endEllipsisAdded) {\n",
+       "                buttonsArray.push(\"...\");\n",
+       "                endEllipsisAdded = true;\n",
+       "            }\n",
+       "            }\n",
+       "        }\n",
+       "\n",
+       "        if (!inStartRange && !inEndRange) {\n",
+       "            if (currPage === i-2) {\n",
+       "                buttonsArray.push(\"...\");\n",
+       "            }\n",
+       "            if (\n",
+       "                currPage === i - 1 ||\n",
+       "                currPage === i ||\n",
+       "                currPage === i + 1\n",
+       "            ) {\n",
+       "                buttonsArray\n",
+       "                .push(setPageButton(table, label, navigateTo, selected))\n",
+       "            }\n",
+       "\n",
+       "            if (currPage === i+2) {\n",
+       "                buttonsArray.push(\"...\");\n",
+       "            }\n",
+       "\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    selected = currPage === maxPages - 1 ? \"selected\" : \"\";\n",
+       "\n",
+       "    buttonsArray.\n",
+       "    push(setPageButton(table, maxPages, maxPages - 1, selected))\n",
+       "\n",
+       "    const buttonsHtml = buttonsArray.join(\"\");\n",
+       "    table.parentNode\n",
+       "    .querySelector(\".pages-buttons\").innerHTML = buttonsHtml;\n",
+       "}\n",
+       "\n",
+       "function removeSelectionFromAllSortButtons() {\n",
+       "    document.querySelectorAll(\".sort-button\")\n",
+       "    .forEach(el => el.classList.remove(\"selected\"))\n",
+       "}\n",
+       "\n",
+       "function initTable() {\n",
+       "    // template variables we should pass\n",
+       "    const initialRows = [\n",
+       "    {\n",
+       "        \"classification\": \"I/B-07.V-B\",\n",
+       "        \"coordinates\": [\n",
+       "            6.86444,\n",
+       "            45.8325\n",
+       "        ],\n",
+       "        \"country\": \"FR/IT\",\n",
+       "        \"first_ascent\": 1786,\n",
+       "        \"height\": 4808,\n",
+       "        \"mountain\": \"Mont Blanc\",\n",
+       "        \"prominence\": 4695,\n",
+       "        \"range\": \"U-Savoy/Aosta\",\n",
+       "        \"region\": \"Mont Blanc massif\"\n",
+       "    },\n",
+       "    {\n",
+       "        \"classification\": \"I/B-09.III-A\",\n",
+       "        \"coordinates\": [\n",
+       "            7.86694,\n",
+       "            45.93694\n",
+       "        ],\n",
+       "        \"country\": \"CH\",\n",
+       "        \"first_ascent\": 1855,\n",
+       "        \"height\": 4634,\n",
+       "        \"mountain\": \"Monte Rosa\",\n",
+       "        \"prominence\": 2165,\n",
+       "        \"range\": \"Valais\",\n",
+       "        \"region\": \"Monte Rosa Alps\"\n",
+       "    },\n",
+       "    {\n",
+       "        \"classification\": \"I/B-09.V-A\",\n",
+       "        \"coordinates\": [\n",
+       "            7.85889,\n",
+       "            46.09389\n",
+       "        ],\n",
+       "        \"country\": \"CH\",\n",
+       "        \"first_ascent\": 1858,\n",
+       "        \"height\": 4545,\n",
+       "        \"mountain\": \"Dom\",\n",
+       "        \"prominence\": 1046,\n",
+       "        \"range\": \"Valais\",\n",
+       "        \"region\": \"Mischabel\"\n",
+       "    },\n",
+       "    {\n",
+       "        \"classification\": \"I/B-09.III-A\",\n",
+       "        \"coordinates\": [\n",
+       "            7.83556,\n",
+       "            45.92222\n",
+       "        ],\n",
+       "        \"country\": \"CH/IT\",\n",
+       "        \"first_ascent\": 1861,\n",
+       "        \"height\": 4527,\n",
+       "        \"mountain\": \"Liskamm\",\n",
+       "        \"prominence\": 376,\n",
+       "        \"range\": \"Valais/Aosta\",\n",
+       "        \"region\": \"Monte Rosa Alps\"\n",
+       "    },\n",
+       "    {\n",
+       "        \"classification\": \"I/B-09.II-D\",\n",
+       "        \"coordinates\": [\n",
+       "            7.71583,\n",
+       "            46.10139\n",
+       "        ],\n",
+       "        \"country\": \"CH\",\n",
+       "        \"first_ascent\": 1861,\n",
+       "        \"height\": 4506,\n",
+       "        \"mountain\": \"Weisshorn\",\n",
+       "        \"prominence\": 1235,\n",
+       "        \"range\": \"Valais\",\n",
+       "        \"region\": \"Weisshorn-Matterhorn\"\n",
+       "    },\n",
+       "    {\n",
+       "        \"classification\": \"I/B-09.II-A\",\n",
+       "        \"coordinates\": [\n",
+       "            7.65861,\n",
+       "            45.97639\n",
+       "        ],\n",
+       "        \"country\": \"CH/IT\",\n",
+       "        \"first_ascent\": 1865,\n",
+       "        \"height\": 4478,\n",
+       "        \"mountain\": \"Matterhorn\",\n",
+       "        \"prominence\": 1042,\n",
+       "        \"range\": \"Valais/Aosta\",\n",
+       "        \"region\": \"Weisshorn-Matterhorn\"\n",
+       "    },\n",
+       "    {\n",
+       "        \"classification\": \"I/B-09.II-C\",\n",
+       "        \"coordinates\": [\n",
+       "            7.61194,\n",
+       "            46.03417\n",
+       "        ],\n",
+       "        \"country\": \"CH\",\n",
+       "        \"first_ascent\": 1862,\n",
+       "        \"height\": 4357,\n",
+       "        \"mountain\": \"Dent Blanche\",\n",
+       "        \"prominence\": 915,\n",
+       "        \"range\": \"Valais\",\n",
+       "        \"region\": \"Weisshorn-Matterhorn\"\n",
+       "    },\n",
+       "    {\n",
+       "        \"classification\": \"I/B-09.I-B\",\n",
+       "        \"coordinates\": [\n",
+       "            7.29917,\n",
+       "            45.9375\n",
+       "        ],\n",
+       "        \"country\": \"CH\",\n",
+       "        \"first_ascent\": 1859,\n",
+       "        \"height\": 4314,\n",
+       "        \"mountain\": \"Grand Combin\",\n",
+       "        \"prominence\": 1517,\n",
+       "        \"range\": \"Valais\",\n",
+       "        \"region\": \"Grand Combin Alps\"\n",
+       "    },\n",
+       "    {\n",
+       "        \"classification\": \"I/B-12.II-A\",\n",
+       "        \"coordinates\": [\n",
+       "            8.12611,\n",
+       "            46.53722\n",
+       "        ],\n",
+       "        \"country\": \"CH\",\n",
+       "        \"first_ascent\": 1829,\n",
+       "        \"height\": 4274,\n",
+       "        \"mountain\": \"Finsteraarhorn\",\n",
+       "        \"prominence\": 2280,\n",
+       "        \"range\": \"Bern/Valais\",\n",
+       "        \"region\": \"Bernese Alps\"\n",
+       "    },\n",
+       "    {\n",
+       "        \"classification\": \"I/B-09.II-D\",\n",
+       "        \"coordinates\": [\n",
+       "            7.69028,\n",
+       "            46.065\n",
+       "        ],\n",
+       "        \"country\": \"CH\",\n",
+       "        \"first_ascent\": 1864,\n",
+       "        \"height\": 4221,\n",
+       "        \"mountain\": \"Zinalrothorn\",\n",
+       "        \"prominence\": 490,\n",
+       "        \"range\": \"Valais\",\n",
+       "        \"region\": \"Weisshorn-Matterhorn\"\n",
+       "    }\n",
+       "];\n",
+       "    const columns = ['classification', 'coordinates', 'country', 'first_ascent', 'height', 'mountain', 'prominence', 'range', 'region'];\n",
+       "    const rowsPerPage=10;\n",
+       "    const nPages=161;\n",
+       "    const nTotal=1605;\n",
+       "    const tableName=\"sys.summits\";\n",
+       "    const tableContainerId = \"tableContainer_1736723242\";\n",
+       "    const options = [10, 25, 50, 100];\n",
+       "    options_html =\n",
+       "    options.map(option => `<option value=${option}>${option}</option>`);\n",
+       "\n",
+       "\n",
+       "    let ths_ = columns.map(col => `<th>${col}</th>`).join(\"\");\n",
+       "\n",
+       "    let table = `\n",
+       "    <div>\n",
+       "        <span style=\"margin-right: 5px\">Show</span>\n",
+       "        <select\n",
+       "        onchange=\"handleRowsNumberOfRowsChange(this)\">\n",
+       "            ${options_html}\n",
+       "        </select>\n",
+       "        <span style=\"margin-left: 5px\">entries</span>\n",
+       "    </div>\n",
+       "\n",
+       "    <table\n",
+       "        class=\"jupysql-table-widget\"\n",
+       "        style='width:100%'\n",
+       "        curr-page-idx=0\n",
+       "        rows-per-page=${rowsPerPage}\n",
+       "        max-pages = ${nPages}\n",
+       "        n-total=${nTotal}\n",
+       "        table-name=${tableName}\n",
+       "    >\n",
+       "        <thead>\n",
+       "            <tr>\n",
+       "                ${ths_}\n",
+       "            </tr>\n",
+       "        </thead>\n",
+       "\n",
+       "        <tbody>\n",
+       "        </tbody>\n",
+       "    </table>\n",
+       "\n",
+       "\n",
+       "    <div style=\"padding-bottom: 20px;\">\n",
+       "        <button onclick=\"prevPageClick(this)\">Previous</button>\n",
+       "        <div\n",
+       "            id = \"pagesButtons\"\n",
+       "            class = \"pages-buttons\"\n",
+       "            style = \"display: inline-flex\">\n",
+       "        </div>\n",
+       "        <button onclick=\"nextPageClick(this)\">Next</button>\n",
+       "    </div>\n",
+       "    `\n",
+       "\n",
+       "    let tableContainer = document.querySelector(`#${tableContainerId}`);\n",
+       "\n",
+       "    tableContainer.innerHTML = table\n",
+       "\n",
+       "    if (initialRows) {\n",
+       "        initializeTableRows(tableContainer, rowsPerPage, initialRows)\n",
+       "\n",
+       "    } else {\n",
+       "        setTimeout(() => {\n",
+       "            const fetchParameters = {\n",
+       "                rowsPerPage : rowsPerPage,\n",
+       "                page : 0,\n",
+       "                sort : getSortDetails(),\n",
+       "                table : tableName\n",
+       "            }\n",
+       "\n",
+       "            fetchTableData(fetchParameters, (rows) => {\n",
+       "                initializeTableRows(tableContainer, rowsPerPage, rows)\n",
+       "            })\n",
+       "        }, 100);\n",
+       "    }\n",
+       "    \n",
+       "}\n",
+       "\n",
+       "function initializeTableRows(tableContainer, rowsPerPage, rows) {\n",
+       "    updateTable(rows, 0,\n",
+       "        tableContainer.querySelector(\"table\"));\n",
+       "    // update ths_ to make sure order columns\n",
+       "    // are matching the data\n",
+       "    if (rows.length > 0) {\n",
+       "        let row = rows[0];\n",
+       "        let ths_ =\n",
+       "        Object.keys(row).map(col =>\n",
+       "        `<th>\n",
+       "            <div style=\"display: inline-flex; height: 40px\">\n",
+       "                <span style=\"line-height: 40px\">${col}</span>\n",
+       "                <span style=\"width: 40px;\">\n",
+       "                    <button\n",
+       "                        class = \"sort-button\"\n",
+       "                        onclick='sortColumnClick(this,\n",
+       "                        \"${col}\", \"ASC\",\n",
+       "                        (rows) => {\n",
+       "                            const table = getTable(this);\n",
+       "                            const currPage =\n",
+       "                            parseInt(table.getAttribute(\"curr-page-idx\"));\n",
+       "                            updateTable(rows, currPage);\n",
+       "                            removeSelectionFromAllSortButtons()\n",
+       "                            this.className += \" selected\"\n",
+       "                            }\n",
+       "                        )'\n",
+       "                        title=\"Sort\"\n",
+       "                        >▴\n",
+       "                    </button>\n",
+       "                    <button\n",
+       "                        class = \"sort-button\"\n",
+       "                        onclick='sortColumnClick(this,\n",
+       "                        \"${col}\", \"DESC\",\n",
+       "                        (rows) => {\n",
+       "                            const table = getTable(this);\n",
+       "                            const currPage = parseInt(\n",
+       "                                table.getAttribute(\"curr-page-idx\"));\n",
+       "                            updateTable(rows, currPage);\n",
+       "                            removeSelectionFromAllSortButtons()\n",
+       "                            this.className += \" selected\"\n",
+       "                            }\n",
+       "                        )'\n",
+       "                        title=\"Sort\"\n",
+       "                        >▾\n",
+       "                    </button>\n",
+       "                </span>\n",
+       "            </div>\n",
+       "\n",
+       "            </th>`).join(\"\");\n",
+       "        let thead = tableContainer.querySelector(\"thead\")\n",
+       "        thead.innerHTML = ths_\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "initTable()</script>\n",
+       "    "
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 76
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "## pandas\n",
+    "\n",
+    "If you have installed `pandas`, you can use a result set’s `.DataFrame()` method,\n",
+    "see [JupySQL pandas integration].\n",
+    "\n",
+    "[JupySQL pandas integration]: https://jupysql.ploomber.io/en/latest/integrations/pandas.html"
+   ],
+   "id": "a37b12af1fab1feb"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T23:24:37.917507Z",
+     "start_time": "2025-01-12T23:24:37.878963Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "result = %sql SELECT * FROM sys.summits\n",
+    "df = result.DataFrame()\n",
+    "df"
+   ],
+   "id": "aa43766196f2b313",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Generating CTE with stored snippets: 'summits'"
+      ],
+      "text/html": [
+       "<span style=\"None\">Generating CTE with stored snippets: &#x27;summits&#x27;</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Running query in 'crate://'"
+      ],
+      "text/html": [
+       "<span style=\"None\">Running query in &#x27;crate://&#x27;</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "1605 rows affected."
+      ],
+      "text/html": [
+       "<span style=\"color: green\">1605 rows affected.</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "     classification           coordinates country  first_ascent  height  \\\n",
+       "0        I/B-07.V-B    [6.86444, 45.8325]   FR/IT        1786.0    4808   \n",
+       "1      I/B-09.III-A   [7.86694, 45.93694]      CH        1855.0    4634   \n",
+       "2        I/B-09.V-A   [7.85889, 46.09389]      CH        1858.0    4545   \n",
+       "3      I/B-09.III-A   [7.83556, 45.92222]   CH/IT        1861.0    4527   \n",
+       "4       I/B-09.II-D   [7.71583, 46.10139]      CH        1861.0    4506   \n",
+       "...             ...                   ...     ...           ...     ...   \n",
+       "1600    II/C-29.I-B   [9.61583, 45.92972]      IT           NaN    1999   \n",
+       "1601   I/B-08.III-C   [6.57556, 46.12861]      FR           NaN    1999   \n",
+       "1602    II/C-33.I-B  [13.36389, 46.53222]      IT           NaN    1999   \n",
+       "1603     I/A-02.I-E   [6.59083, 44.02139]      FR           NaN    1996   \n",
+       "1604   II/B-23.II-C     [12.43, 47.47611]      AT           NaN    1996   \n",
+       "\n",
+       "                mountain  prominence                    range  \\\n",
+       "0             Mont Blanc        4695            U-Savoy/Aosta   \n",
+       "1             Monte Rosa        2165                   Valais   \n",
+       "2                    Dom        1046                   Valais   \n",
+       "3                Liskamm         376             Valais/Aosta   \n",
+       "4              Weisshorn        1235                   Valais   \n",
+       "...                  ...         ...                      ...   \n",
+       "1600     Monte Venturosa         471                  Bergamo   \n",
+       "1601  Pointe de Marcelly         440              Upper Savoy   \n",
+       "1602       Monte Scinauz         369                    Udine   \n",
+       "1603         Puy de Rent         556  Alpes-de-Haute-Provence   \n",
+       "1604    Kitzbüheler Horn         516              North Tyrol   \n",
+       "\n",
+       "                    region  \n",
+       "0        Mont Blanc massif  \n",
+       "1          Monte Rosa Alps  \n",
+       "2                Mischabel  \n",
+       "3          Monte Rosa Alps  \n",
+       "4     Weisshorn-Matterhorn  \n",
+       "...                    ...  \n",
+       "1600          Bergamo Alps  \n",
+       "1601         Chablais Alps  \n",
+       "1602           Carnic Alps  \n",
+       "1603         Maritime Alps  \n",
+       "1604        Kitzbühel Alps  \n",
+       "\n",
+       "[1605 rows x 9 columns]"
+      ],
+      "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>classification</th>\n",
+       "      <th>coordinates</th>\n",
+       "      <th>country</th>\n",
+       "      <th>first_ascent</th>\n",
+       "      <th>height</th>\n",
+       "      <th>mountain</th>\n",
+       "      <th>prominence</th>\n",
+       "      <th>range</th>\n",
+       "      <th>region</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>I/B-07.V-B</td>\n",
+       "      <td>[6.86444, 45.8325]</td>\n",
+       "      <td>FR/IT</td>\n",
+       "      <td>1786.0</td>\n",
+       "      <td>4808</td>\n",
+       "      <td>Mont Blanc</td>\n",
+       "      <td>4695</td>\n",
+       "      <td>U-Savoy/Aosta</td>\n",
+       "      <td>Mont Blanc massif</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>I/B-09.III-A</td>\n",
+       "      <td>[7.86694, 45.93694]</td>\n",
+       "      <td>CH</td>\n",
+       "      <td>1855.0</td>\n",
+       "      <td>4634</td>\n",
+       "      <td>Monte Rosa</td>\n",
+       "      <td>2165</td>\n",
+       "      <td>Valais</td>\n",
+       "      <td>Monte Rosa Alps</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>I/B-09.V-A</td>\n",
+       "      <td>[7.85889, 46.09389]</td>\n",
+       "      <td>CH</td>\n",
+       "      <td>1858.0</td>\n",
+       "      <td>4545</td>\n",
+       "      <td>Dom</td>\n",
+       "      <td>1046</td>\n",
+       "      <td>Valais</td>\n",
+       "      <td>Mischabel</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>I/B-09.III-A</td>\n",
+       "      <td>[7.83556, 45.92222]</td>\n",
+       "      <td>CH/IT</td>\n",
+       "      <td>1861.0</td>\n",
+       "      <td>4527</td>\n",
+       "      <td>Liskamm</td>\n",
+       "      <td>376</td>\n",
+       "      <td>Valais/Aosta</td>\n",
+       "      <td>Monte Rosa Alps</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>I/B-09.II-D</td>\n",
+       "      <td>[7.71583, 46.10139]</td>\n",
+       "      <td>CH</td>\n",
+       "      <td>1861.0</td>\n",
+       "      <td>4506</td>\n",
+       "      <td>Weisshorn</td>\n",
+       "      <td>1235</td>\n",
+       "      <td>Valais</td>\n",
+       "      <td>Weisshorn-Matterhorn</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1600</th>\n",
+       "      <td>II/C-29.I-B</td>\n",
+       "      <td>[9.61583, 45.92972]</td>\n",
+       "      <td>IT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>Monte Venturosa</td>\n",
+       "      <td>471</td>\n",
+       "      <td>Bergamo</td>\n",
+       "      <td>Bergamo Alps</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1601</th>\n",
+       "      <td>I/B-08.III-C</td>\n",
+       "      <td>[6.57556, 46.12861]</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>Pointe de Marcelly</td>\n",
+       "      <td>440</td>\n",
+       "      <td>Upper Savoy</td>\n",
+       "      <td>Chablais Alps</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1602</th>\n",
+       "      <td>II/C-33.I-B</td>\n",
+       "      <td>[13.36389, 46.53222]</td>\n",
+       "      <td>IT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>Monte Scinauz</td>\n",
+       "      <td>369</td>\n",
+       "      <td>Udine</td>\n",
+       "      <td>Carnic Alps</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1603</th>\n",
+       "      <td>I/A-02.I-E</td>\n",
+       "      <td>[6.59083, 44.02139]</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1996</td>\n",
+       "      <td>Puy de Rent</td>\n",
+       "      <td>556</td>\n",
+       "      <td>Alpes-de-Haute-Provence</td>\n",
+       "      <td>Maritime Alps</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1604</th>\n",
+       "      <td>II/B-23.II-C</td>\n",
+       "      <td>[12.43, 47.47611]</td>\n",
+       "      <td>AT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1996</td>\n",
+       "      <td>Kitzbüheler Horn</td>\n",
+       "      <td>516</td>\n",
+       "      <td>North Tyrol</td>\n",
+       "      <td>Kitzbühel Alps</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1605 rows × 9 columns</p>\n",
+       "</div>"
+      ]
+     },
+     "execution_count": 83,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 83
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "## Polars\n",
+    "\n",
+    "If you have installed `polars`, you can use a result set’s `.PolarsDataFrame()` method,\n",
+    "see [JupySQL Polars integration].\n",
+    "\n",
+    "[JupySQL Polars integration]: https://jupysql.ploomber.io/en/latest/integrations/polars.html"
+   ],
+   "id": "fe329de76dade158"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-01-12T23:28:54.362178Z",
+     "start_time": "2025-01-12T23:28:52.201648Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "result = %sql SELECT * FROM sys.summits\n",
+    "df = result.PolarsDataFrame()\n",
+    "df"
+   ],
+   "id": "8d76d75ed3ba81e7",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Generating CTE with stored snippets: 'summits'"
+      ],
+      "text/html": [
+       "<span style=\"None\">Generating CTE with stored snippets: &#x27;summits&#x27;</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Running query in 'crate://'"
+      ],
+      "text/html": [
+       "<span style=\"None\">Running query in &#x27;crate://&#x27;</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "1605 rows affected."
+      ],
+      "text/html": [
+       "<span style=\"color: green\">1605 rows affected.</span>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "shape: (1_605, 9)\n",
+       "┌────────────┬───────────┬─────────┬───────────┬───┬───────────┬───────────┬───────────┬───────────┐\n",
+       "│ classifica ┆ coordinat ┆ country ┆ first_asc ┆ … ┆ mountain  ┆ prominenc ┆ range     ┆ region    │\n",
+       "│ tion       ┆ es        ┆ ---     ┆ ent       ┆   ┆ ---       ┆ e         ┆ ---       ┆ ---       │\n",
+       "│ ---        ┆ ---       ┆ str     ┆ ---       ┆   ┆ str       ┆ ---       ┆ str       ┆ str       │\n",
+       "│ str        ┆ list[f64] ┆         ┆ i64       ┆   ┆           ┆ i64       ┆           ┆           │\n",
+       "╞════════════╪═══════════╪═════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪═══════════╡\n",
+       "│ I/B-07.V-B ┆ [6.86444, ┆ FR/IT   ┆ 1786      ┆ … ┆ Mont      ┆ 4695      ┆ U-Savoy/A ┆ Mont      │\n",
+       "│            ┆ 45.8325]  ┆         ┆           ┆   ┆ Blanc     ┆           ┆ osta      ┆ Blanc     │\n",
+       "│            ┆           ┆         ┆           ┆   ┆           ┆           ┆           ┆ massif    │\n",
+       "│ I/B-09.III ┆ [7.86694, ┆ CH      ┆ 1855      ┆ … ┆ Monte     ┆ 2165      ┆ Valais    ┆ Monte     │\n",
+       "│ -A         ┆ 45.93694] ┆         ┆           ┆   ┆ Rosa      ┆           ┆           ┆ Rosa Alps │\n",
+       "│ I/B-09.V-A ┆ [7.85889, ┆ CH      ┆ 1858      ┆ … ┆ Dom       ┆ 1046      ┆ Valais    ┆ Mischabel │\n",
+       "│            ┆ 46.09389] ┆         ┆           ┆   ┆           ┆           ┆           ┆           │\n",
+       "│ I/B-09.III ┆ [7.83556, ┆ CH/IT   ┆ 1861      ┆ … ┆ Liskamm   ┆ 376       ┆ Valais/Ao ┆ Monte     │\n",
+       "│ -A         ┆ 45.92222] ┆         ┆           ┆   ┆           ┆           ┆ sta       ┆ Rosa Alps │\n",
+       "│ I/B-09.II- ┆ [7.71583, ┆ CH      ┆ 1861      ┆ … ┆ Weisshorn ┆ 1235      ┆ Valais    ┆ Weisshorn │\n",
+       "│ D          ┆ 46.10139] ┆         ┆           ┆   ┆           ┆           ┆           ┆ -Matterho │\n",
+       "│            ┆           ┆         ┆           ┆   ┆           ┆           ┆           ┆ rn        │\n",
+       "│ …          ┆ …         ┆ …       ┆ …         ┆ … ┆ …         ┆ …         ┆ …         ┆ …         │\n",
+       "│ II/C-29.I- ┆ [9.61583, ┆ IT      ┆ null      ┆ … ┆ Monte     ┆ 471       ┆ Bergamo   ┆ Bergamo   │\n",
+       "│ B          ┆ 45.92972] ┆         ┆           ┆   ┆ Venturosa ┆           ┆           ┆ Alps      │\n",
+       "│ I/B-08.III ┆ [6.57556, ┆ FR      ┆ null      ┆ … ┆ Pointe de ┆ 440       ┆ Upper     ┆ Chablais  │\n",
+       "│ -C         ┆ 46.12861] ┆         ┆           ┆   ┆ Marcelly  ┆           ┆ Savoy     ┆ Alps      │\n",
+       "│ II/C-33.I- ┆ [13.36389 ┆ IT      ┆ null      ┆ … ┆ Monte     ┆ 369       ┆ Udine     ┆ Carnic    │\n",
+       "│ B          ┆ ,         ┆         ┆           ┆   ┆ Scinauz   ┆           ┆           ┆ Alps      │\n",
+       "│            ┆ 46.53222] ┆         ┆           ┆   ┆           ┆           ┆           ┆           │\n",
+       "│ I/A-02.I-E ┆ [6.59083, ┆ FR      ┆ null      ┆ … ┆ Puy de    ┆ 556       ┆ Alpes-de- ┆ Maritime  │\n",
+       "│            ┆ 44.02139] ┆         ┆           ┆   ┆ Rent      ┆           ┆ Haute-Pro ┆ Alps      │\n",
+       "│            ┆           ┆         ┆           ┆   ┆           ┆           ┆ vence     ┆           │\n",
+       "│ II/B-23.II ┆ [12.43,   ┆ AT      ┆ null      ┆ … ┆ Kitzbühel ┆ 516       ┆ North     ┆ Kitzbühel │\n",
+       "│ -C         ┆ 47.47611] ┆         ┆           ┆   ┆ er Horn   ┆           ┆ Tyrol     ┆ Alps      │\n",
+       "└────────────┴───────────┴─────────┴───────────┴───┴───────────┴───────────┴───────────┴───────────┘"
+      ],
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (1_605, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>classification</th><th>coordinates</th><th>country</th><th>first_ascent</th><th>height</th><th>mountain</th><th>prominence</th><th>range</th><th>region</th></tr><tr><td>str</td><td>list[f64]</td><td>str</td><td>i64</td><td>i64</td><td>str</td><td>i64</td><td>str</td><td>str</td></tr></thead><tbody><tr><td>&quot;I/B-07.V-B&quot;</td><td>[6.86444, 45.8325]</td><td>&quot;FR/IT&quot;</td><td>1786</td><td>4808</td><td>&quot;Mont Blanc&quot;</td><td>4695</td><td>&quot;U-Savoy/Aosta&quot;</td><td>&quot;Mont Blanc massif&quot;</td></tr><tr><td>&quot;I/B-09.III-A&quot;</td><td>[7.86694, 45.93694]</td><td>&quot;CH&quot;</td><td>1855</td><td>4634</td><td>&quot;Monte Rosa&quot;</td><td>2165</td><td>&quot;Valais&quot;</td><td>&quot;Monte Rosa Alps&quot;</td></tr><tr><td>&quot;I/B-09.V-A&quot;</td><td>[7.85889, 46.09389]</td><td>&quot;CH&quot;</td><td>1858</td><td>4545</td><td>&quot;Dom&quot;</td><td>1046</td><td>&quot;Valais&quot;</td><td>&quot;Mischabel&quot;</td></tr><tr><td>&quot;I/B-09.III-A&quot;</td><td>[7.83556, 45.92222]</td><td>&quot;CH/IT&quot;</td><td>1861</td><td>4527</td><td>&quot;Liskamm&quot;</td><td>376</td><td>&quot;Valais/Aosta&quot;</td><td>&quot;Monte Rosa Alps&quot;</td></tr><tr><td>&quot;I/B-09.II-D&quot;</td><td>[7.71583, 46.10139]</td><td>&quot;CH&quot;</td><td>1861</td><td>4506</td><td>&quot;Weisshorn&quot;</td><td>1235</td><td>&quot;Valais&quot;</td><td>&quot;Weisshorn-Matterhorn&quot;</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;II/C-29.I-B&quot;</td><td>[9.61583, 45.92972]</td><td>&quot;IT&quot;</td><td>null</td><td>1999</td><td>&quot;Monte Venturosa&quot;</td><td>471</td><td>&quot;Bergamo&quot;</td><td>&quot;Bergamo Alps&quot;</td></tr><tr><td>&quot;I/B-08.III-C&quot;</td><td>[6.57556, 46.12861]</td><td>&quot;FR&quot;</td><td>null</td><td>1999</td><td>&quot;Pointe de Marcelly&quot;</td><td>440</td><td>&quot;Upper Savoy&quot;</td><td>&quot;Chablais Alps&quot;</td></tr><tr><td>&quot;II/C-33.I-B&quot;</td><td>[13.36389, 46.53222]</td><td>&quot;IT&quot;</td><td>null</td><td>1999</td><td>&quot;Monte Scinauz&quot;</td><td>369</td><td>&quot;Udine&quot;</td><td>&quot;Carnic Alps&quot;</td></tr><tr><td>&quot;I/A-02.I-E&quot;</td><td>[6.59083, 44.02139]</td><td>&quot;FR&quot;</td><td>null</td><td>1996</td><td>&quot;Puy de Rent&quot;</td><td>556</td><td>&quot;Alpes-de-Haute-Provence&quot;</td><td>&quot;Maritime Alps&quot;</td></tr><tr><td>&quot;II/B-23.II-C&quot;</td><td>[12.43, 47.47611]</td><td>&quot;AT&quot;</td><td>null</td><td>1996</td><td>&quot;Kitzbüheler Horn&quot;</td><td>516</td><td>&quot;North Tyrol&quot;</td><td>&quot;Kitzbühel Alps&quot;</td></tr></tbody></table></div>"
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 85
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    ":::{todo}\n",
+    "- ggplot: https://jupysql.ploomber.io/en/latest/user-guide/ggplot.html\n",
+    "- boxplot: https://jupysql.ploomber.io/en/latest/user-guide/argument-expansion.html\n",
+    "- pandas persist: https://jupysql.ploomber.io/en/latest/integrations/pandas.html\n",
+    "- compatibility: https://jupysql.ploomber.io/en/latest/integrations/compatibility.html\n",
+    ":::"
+   ],
+   "id": "580564ba4c478322"
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebook/jupyter/pyproject.toml b/notebook/jupyter/pyproject.toml
index e69de29b..2c436b80 100644
--- a/notebook/jupyter/pyproject.toml
+++ b/notebook/jupyter/pyproject.toml
@@ -0,0 +1,226 @@
+[build-system]
+build-backend = "setuptools.build_meta"
+requires = [
+  "setuptools>=42", # At least v42 of setuptools required.
+  "versioningit",
+]
+
+[project]
+name = "cratedb-jupyter-examples"
+description = "CrateDB Jupyter Examples"
+readme = "README.md"
+keywords = [
+  "cratedb",
+  "data-processing",
+  "jupyter",
+]
+license = { text = "Apache 2.0" }
+authors = [
+  { name = "CrateDB Developers" },
+]
+requires-python = ">=3.8"
+classifiers = [
+  "Development Status :: 4 - Beta",
+  "Environment :: Console",
+  "Intended Audience :: Customer Service",
+  "Intended Audience :: Developers",
+  "Intended Audience :: Education",
+  "Intended Audience :: End Users/Desktop",
+  "Intended Audience :: Information Technology",
+  "Intended Audience :: Manufacturing",
+  "Intended Audience :: Science/Research",
+  "Intended Audience :: System Administrators",
+  "Intended Audience :: Telecommunications Industry",
+  "License :: OSI Approved :: Apache Software License",
+  "Operating System :: MacOS :: MacOS X",
+  "Operating System :: Microsoft :: Windows",
+  "Operating System :: POSIX :: Linux",
+  "Operating System :: Unix",
+  "Programming Language :: Python",
+  "Programming Language :: Python :: 3 :: Only",
+  "Programming Language :: Python :: 3.8",
+  "Programming Language :: Python :: 3.9",
+  "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
+  "Programming Language :: Python :: 3.12",
+  "Programming Language :: Python :: 3.13",
+  "Topic :: Adaptive Technologies",
+  "Topic :: Communications",
+  "Topic :: Database",
+  "Topic :: Documentation",
+  "Topic :: Education",
+  "Topic :: Internet",
+  "Topic :: Internet :: WWW/HTTP",
+  "Topic :: Office/Business",
+  "Topic :: Scientific/Engineering",
+  "Topic :: Software Development :: Embedded Systems",
+  "Topic :: Software Development :: Libraries",
+  "Topic :: Software Development :: Object Brokering",
+  "Topic :: Software Development :: Pre-processors",
+  "Topic :: Software Development :: Quality Assurance",
+  "Topic :: Software Development :: Testing",
+  "Topic :: Software Development :: Version Control",
+  "Topic :: System :: Archiving",
+  "Topic :: System :: Benchmark",
+  "Topic :: System :: Clustering",
+  "Topic :: System :: Distributed Computing",
+  "Topic :: System :: Hardware",
+  "Topic :: System :: Logging",
+  "Topic :: System :: Monitoring",
+  "Topic :: System :: Networking",
+  "Topic :: System :: Systems Administration",
+  "Topic :: Text Processing",
+  "Topic :: Utilities",
+]
+dynamic = [
+  "version",
+]
+dependencies = [
+  "csvkit<3",
+  "jupysql<0.11",
+  "matplotlib<4",
+  "pandas<3",
+  "polars<2",
+  "sqlalchemy-cratedb>=0.40,<1",
+  "toml<0.11",
+]
+optional-dependencies.all = [
+  "cratedb-jupyter-examples[docs,develop,test]",
+]
+optional-dependencies.develop = [
+  "poethepoet<0.33",
+  "pyproject-fmt<2.6",
+  "ruff<0.9",
+  "validate-pyproject<0.24",
+]
+optional-dependencies.docs = [
+  "furo",
+  "myst-nb<1.2",
+  "sphinx-autobuild==2021.3.14", # Newer versions stopped "watching" appropriately?
+  "sphinx-copybutton",
+  "sphinx-design-elements<1",
+]
+optional-dependencies.test = [
+  "pueblo[notebook,testing]",
+]
+
+urls.Homepage = "https://github.com/crate/cratedb-examples/tree/main/notebook/jupyter"
+urls.Issues = "https://github.com/crate/cratedb-examples/issues"
+urls.Repository = "https://github.com/crate/cratedb-examples"
+
+[tool.setuptools.packages.find]
+namespaces = false
+
+# ===================
+# Tasks configuration
+# ===================
+
+[tool.ruff]
+line-length = 100
+
+lint.select = [
+  # Builtins
+  "A",
+  # Bugbear
+  "B",
+  # comprehensions
+  "C4",
+  # Pycodestyle
+  "E",
+  # eradicate
+  "ERA",
+  # Pyflakes
+  "F",
+  # isort
+  "I",
+  # pandas-vet
+  "PD",
+  # return
+  "RET",
+  # Bandit
+  "S",
+  # print
+  "T20",
+  "W",
+  # flake8-2020
+  "YTT",
+]
+
+lint.extend-ignore = [
+  # zip() without an explicit strict= parameter
+  "B905",
+  # df is a bad variable name. Be kinder to your future self.
+  "PD901",
+  # Unnecessary variable assignment before `return` statement
+  "RET504",
+  # Unnecessary `elif` after `return` statement
+  "RET505",
+  # Probable insecure usage of temporary file or directory
+  "S108",
+]
+
+lint.per-file-ignores."docs/conf.py" = [ "A001", "ERA001" ]
+
+[tool.pytest.ini_options]
+minversion = "2.0"
+addopts = """
+  -rfEX -p pytester --strict-markers --verbosity=3
+  --cov --cov-report=term-missing
+  --capture=no
+  """
+env = [
+  "CRATEDB_CONNECTION_STRING=crate://crate@localhost/?schema=notebook",
+]
+log_level = "DEBUG"
+log_cli_level = "DEBUG"
+testpaths = [ "*.py" ]
+xfail_strict = true
+markers = [
+]
+
+[tool.coverage.run]
+branch = false
+omit = [
+  "test*",
+]
+
+[tool.coverage.report]
+fail_under = 0
+show_missing = true
+
+[tool.versioningit.vcs]
+method = "git"
+default-tag = "0.0.0"
+
+[tool.poe.tasks]
+
+check = [
+  "lint",
+  "test",
+]
+
+docs-html = [
+  { cmd = "sphinx-build -W --keep-going -b html ./docs ./_build/html" },
+]
+docs-linkcheck = [
+  { cmd = "sphinx-build -W --keep-going -b linkcheck ./docs ./_build/html" },
+]
+
+format = [
+  # Format project metadata.
+  { cmd = "pyproject-fmt --keep-full-version pyproject.toml" },
+
+  # Format code.
+  # Configure Ruff not to auto-fix a few items that are useful in workbench mode.
+  # e.g.: unused imports (F401), unused variables (F841), `print` statements (T201), commented-out code (ERA001)
+  { cmd = "ruff format" },
+  { cmd = "ruff check --fix --ignore=ERA --ignore=F401 --ignore=F841 --ignore=T20 --ignore=ERA001" },
+]
+
+lint = [
+  { cmd = "ruff format --check" },
+  { cmd = "ruff check" },
+  { cmd = "validate-pyproject pyproject.toml" },
+]
+
+test = { cmd = "pytest" }
diff --git a/notebook/jupyter/test.py b/notebook/jupyter/test.py
new file mode 100644
index 00000000..91067bd9
--- /dev/null
+++ b/notebook/jupyter/test.py
@@ -0,0 +1,9 @@
+from testbook import testbook
+
+
+def test_notebook(notebook):
+    """
+    Execute Jupyter Notebook, one test case per .ipynb file.
+    """
+    with testbook(notebook) as tb:
+        tb.execute()