diff --git a/data_processing/notebooks/hero_image.ipynb b/data_processing/notebooks/hero_image.ipynb
deleted file mode 100644
index 204f3a1..0000000
--- a/data_processing/notebooks/hero_image.ipynb
+++ /dev/null
@@ -1,111 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import sys\n",
-    "from PIL import Image\n",
-    "import numpy as np"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "input_path = '..\\images\\persons'\n",
-    "output_path = '..\\images'\n",
-    "\n",
-    "images = [Image.open(x).convert(\"RGBA\") for x in [input_path + \"\\peep(\" + str(x+1) + \").png\" for x in range(18)]]\n",
-    "widths, heights = zip(*(i.size for i in images))\n",
-    "\n",
-    "total_width = sum(widths)\n",
-    "max_height = max(heights)\n",
-    "\n",
-    "new_im = Image.new('RGBA', (total_width, max_height))\n",
-    "\n",
-    "x_offset = 0\n",
-    "for im in images:\n",
-    "  new_im.paste(im, (x_offset,0))\n",
-    "  x_offset += im.size[0]\n",
-    "\n",
-    "new_im.save('hero.png')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "[x for x in range(10)]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[[0. 1. 0. 1. 0. 0. 1.]\n",
-      " [0. 1. 1. 1. 1. 1. 1.]\n",
-      " [1. 1. 0. 0. 1. 1. 1.]\n",
-      " [0. 1. 1. 1. 1. 1. 1.]\n",
-      " [1. 1. 0. 0. 1. 1. 1.]\n",
-      " [1. 1. 1. 1. 0. 1. 1.]\n",
-      " [1. 1. 1. 1. 1. 0. 0.]\n",
-      " [1. 1. 1. 1. 0. 1. 1.]\n",
-      " [1. 1. 0. 1. 1. 0. 1.]\n",
-      " [1. 0. 1. 1. 1. 1. 1.]\n",
-      " [1. 1. 0. 1. 0. 1. 1.]\n",
-      " [0. 0. 1. 1. 1. 0. 1.]\n",
-      " [0. 1. 0. 1. 0. 0. 0.]\n",
-      " [0. 0. 0. 1. 1. 1. 0.]\n",
-      " [1. 1. 0. 0. 1. 1. 0.]]\n"
-     ]
-    }
-   ],
-   "source": [
-    "inds = np.array([1, 3, 6, 8, 9, 10, 11, 12, 13, 14,\n",
-    " 15, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29,\n",
-    " 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44,\n",
-    " 45, 46, 49, 50, 51, 52, 54, 55, 56, 57, 59,\n",
-    " 60, 62, 63, 65, 66, 67, 68, 69, 70, 71, 73,\n",
-    " 75, 76, 79, 80, 81, 83, 85, 87,\n",
-    " 94, 95, 96, 98, 99, 102, 103])\n",
-    "inds_bool = np.zeros(15*7)\n",
-    "inds_bool[inds] = True\n",
-    "vect2 = np.reshape(inds_bool, (-1, 7))\n",
-    "print(vect2)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "bio411",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.9"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}