Reorganised the code into a PyPI package format

Sample codes/Analyse_folders_and_description.ipynb

@@ -0,0 +1,70 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "abstract-broad",
+   "metadata": {},
+   "source": [
+    "# Program to read through folders in a file-path and spit out description"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "similar-algeria",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def find_algorithm():\n",
+    "    import os # To enable you walk through the OS directory\n",
+    "    import re # To enable pattern recognition\n",
+    "    \n",
+    "    \n",
+    "    # Take file-path and extract names of files in file-path as list data type\n",
+    "    check_folder = input(\"Please enter the file-path of the folder: \\n\")\n",
+    "    found_items = os.listdir(check_folder)\n",
+    "    \n",
+    "    \n",
+    "    # Initialize what the pattern to be searched for should look like\n",
+    "    pattern = \"\\W\\W\\W\"\n",
+    "    \n",
+    "    # Look into the individual txt files and extraxt the description \n",
+    "    for items in range(0, len(found_items)):\n",
+    "        print(f\"\\n({items + 1}): I found the file named: {found_items[items]}\")\n",
+    "        inside_file = check_folder + '\\\\' + found_items[items]\n",
+    "        \n",
+    "        with open(inside_file, mode ='r', encoding = 'utf-8') as myfile:\n",
+    "            print(\"Inside the file, I found this description: \\n \")\n",
+    "            contents = myfile.readlines()\n",
+    "            \n",
+    "            for indexing in range(0, len(contents)):\n",
+    "                if re.search(pattern, contents[indexing]):\n",
+    "                    print(contents[indexing+1])\n",
+    "                    break\n",
+    "                    \n",
+    "            print(\"\\n\\n\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.9.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}