diff --git a/Cargo.toml b/Cargo.toml
index a547cfe..16671cf 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -31,6 +31,7 @@ futures = "0.3"
 # pyo3 = { version = "0.23.1", features = ["extension-module"] }
 # pyo3 = { version = "0.21.2", features = ["extension-module"] }
 # pyo3 = { version = "*", features = ["abi3-py38"] }
+# polars-core = { version = "*" }
 pyo3 = { version = "*", features = ["extension-module", "abi3-py37"] }
 pyo3-polars = { version = "*" }
 polars = { version = "*", features = [
diff --git a/notebooks/python-notebook.ipynb b/notebooks/python-notebook.ipynb
index fb445b8..d6e7334 100644
--- a/notebooks/python-notebook.ipynb
+++ b/notebooks/python-notebook.ipynb
@@ -6,6 +6,14 @@
    "source": [
     "# Build and install the package\n",
     "\n",
+    "First patch `pyo3-polars`:\n",
+    "\n",
+    "\n",
+    "- Use [this diff](https://github.com/pola-rs/pyo3-polars/compare/main...Magnus167:pyo3-polars:main) to make changes to the `pyo3-polars` package.\n",
+    "\n",
+    "\n",
+    "Install the package:\n",
+    "\n",
     "```bash\n",
     "python -m venv .venv\n",
     "\n",
@@ -18,6 +26,13 @@
     "```\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -27,7 +42,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -56,19 +71,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
-    "DATA_FOLDER_PATH = \"E:/Work/jpmaqs-data\"\n",
-    "\n",
+    "# DATA_FOLDER_PATH = \"E:/Work/jpmaqs-data\"\n",
+    "DATA_FOLDER_PATH = \"C:/Users/PalashTyagi/Code/go-dataquery/jpmaqs-data\"\n",
     "DQ_CLIENT_ID = os.getenv(\"DQ_CLIENT_ID\")\n",
     "DQ_CLIENT_SECRET = os.getenv(\"DQ_CLIENT_SECRET\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -98,7 +113,7 @@
        "└────────────┴─────┴────────────────────┴───────────┴─────────┴─────────┴─────────┘"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -113,7 +128,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -136,7 +151,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -166,7 +181,7 @@
        "└────────────┴─────┴──────────────────┴──────────┴─────────┴─────────┴─────────┘"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -182,7 +197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -212,7 +227,7 @@
        "└────────────┴─────┴──────────────────┴──────────┴─────────┴─────────┴─────────┘"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -226,7 +241,69 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "241.2352533340454"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "big_df.estimated_size(\"mb\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "625.9191436767578"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "big_df.to_pandas().memory_usage(deep=True).sum() / 1024**2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "152.3249340057373"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "macrosynergy.management.types.QuantamentalDataFrame(big_df.to_pandas()).memory_usage(\n",
+    "    deep=True\n",
+    ").sum() / 1024**2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -236,7 +313,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -272,7 +349,7 @@
        "└────────────┴─────┴───────────┴───────────┴─────────┴─────────┴─────────┘"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -289,7 +366,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -301,7 +378,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -336,7 +413,7 @@
        "└────────────┴─────┴──────────┴───────────┴─────────┴─────────┴─────────┘"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -349,7 +426,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -384,7 +461,7 @@
        "└────────────┴─────┴───────────┴───────────┴─────────┴─────────┴─────────┘"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -410,7 +487,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.7"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,