From 6f59e1348815b286d146a5ecc251222dd2bca7bd Mon Sep 17 00:00:00 2001
From: Tom Vo <tomvothecoder@gmail.com>
Date: Tue, 2 Jul 2024 10:00:34 -0700
Subject: [PATCH] Update logo size

---
 .../demos/24-07-11-scipy-2024/scipy-2024.ipynb | 18 ++++++++----------
 1 file changed, 8 insertions(+), 10 deletions(-)

diff --git a/docs/demos/24-07-11-scipy-2024/scipy-2024.ipynb b/docs/demos/24-07-11-scipy-2024/scipy-2024.ipynb
index fda60cdd..32e644b2 100644
--- a/docs/demos/24-07-11-scipy-2024/scipy-2024.ipynb
+++ b/docs/demos/24-07-11-scipy-2024/scipy-2024.ipynb
@@ -199,7 +199,7 @@
     "<h2>\"N-D labeled arrays and datasets in Python\"</h2>\n",
     "</div>\n",
     "\n",
-    "- \\*\\*Xarray is the core technology of xCDAT\n",
+    "**Xarray is the core technology of xCDAT**\n",
     "\n",
     "**Why Xarray?**\n",
     "\n",
@@ -209,14 +209,14 @@
     "**Key features include:**\n",
     "\n",
     "- File I/O, indexing and selecting, interpolating, grouping, aggregating, parallelism (Dask), plotting (matplotlib wrapper)\n",
-    "  Supports various file formats netCDF, Iris, OPeNDAP, Zarr, and more\n",
+    "- Supports various file formats netCDF, Iris, OPeNDAP, Zarr, and more\n",
     "- Interoperability with scientific Python ecosystem such as NumPy, Dask, Pandas, and Matplotlib\n",
     "\n",
     "<div style=\"text-align: center;\">\n",
-    "  <img src=\"../../_static/dask-logo.svg\" alt=\"NumFocus logo\" align=\\\"center\\\" style=\"display: inline-block; width:200px;\">\n",
-    "  <img src=\"../../_static/matplotlib-logo.svg\" alt=\"NumPy logo\" align=\\\"center\\\" style=\"display: inline-block; width:200px;\">\n",
-    "  <img src=\"../../_static/numpy-logo.svg\" alt=\"NumPy logo\" align=\\\"center\\\" style=\"display: inline-block; width:200px;\">\n",
-    "  <img src=\"../../_static/pandas-logo.svg\" alt=\"Pandas logo\" align=\\\"center\\\" style=\"display: inline-block; width:200px;\">\n",
+    "  <img src=\"../../_static/dask-logo.svg\" alt=\"NumFocus logo\" align=\\\"center\\\" style=\"display: inline-block; width:250px;\">\n",
+    "  <img src=\"../../_static/matplotlib-logo.svg\" alt=\"NumPy logo\" align=\\\"center\\\" style=\"display: inline-block; width:250px;\">\n",
+    "  <img src=\"../../_static/numpy-logo.svg\" alt=\"NumPy logo\" align=\\\"center\\\" style=\"display: inline-block; width:250px;\">\n",
+    "  <img src=\"../../_static/pandas-logo.svg\" alt=\"Pandas logo\" align=\\\"center\\\" style=\"display: inline-block; width:250px;\">\n",
     "\n",
     "</div>\n",
     "\n",
@@ -354,7 +354,7 @@
     }
    },
    "source": [
-    "##### Code Comparison (Xarray vs. xCDAT)\n"
+    "#### Code Comparison (Xarray vs. xCDAT)\n"
    ]
   },
   {
@@ -3081,9 +3081,7 @@
     }
    },
    "source": [
-    "#### Compare the results (for the first timestep)\n",
-    "\n",
-    "Now we just plot the results for comparison.\n"
+    "#### Compare the results (for the first timestep)"
    ]
   },
   {