Notebook2 12Feb2026

Notebook1.ipynb

@@ -2,200 +2,92 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "73fb95c9",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "7\n"
+      "110\n"
      ]
     }
    ],
    "source": [
-    "x = 3\n",
-    "y = 4\n",
+    "x = int(input(\"Enter a number: \"))\n",
+    "y = int(input(\"Enter another number: \"))\n",
     "print(x + y)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "f9658402",
+   "execution_count": 3,
+   "id": "ca9af74b",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "<class 'int'>\n"
+      "[1, 2, 3, 3, 3, 'number', 'number', True]\n",
+      "{1, 2, 3, 'number'}\n",
+      "[1, 2, 3, 'number']\n"
      ]
     }
    ],
    "source": [
-    "print(type(y))  # Output: <class 'int'>"
+    "list1 = [1, 2, 3, 3, 3, \"number\", \"number\", True]\n",
+    "print(list1)\n",
+    "print(set(list1))\n",
+    "print(list(set(list1)))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "e759f74e",
+   "execution_count": 19,
+   "id": "eb8566c6",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1\n"
-     ]
-    }
-   ],
-   "source": [
-    "list1 = [1, 2, 3, 4, 5]\n",
-    "print(list1[0])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4590340e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'coconut'"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "list2 = [\"apple\", \"banana\", \"cherry\", \"coconut\", \"grape\"]\n",
-    "list2[3]"
+    "import pandas as pd"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "7f877009",
+   "execution_count": 23,
+   "id": "8001adbc",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'It is a collection of items which can be of different data types. It is ordered, \\nchangeable, and allows duplicate values. \\nLists are defined using square brackets [] and items are separated by commas.'"
+       "Timestamp('2026-02-12 00:00:00')"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "#list is also a type of data in Python.\n",
-    "'''Definition of a List: It is a collection of items which can be of different data types. It is ordered, \n",
-    "changeable, and allows duplicate values. \n",
-    "Lists are defined using square brackets [] and items are separated by commas.'''"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e5d50776",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1 is of type <class 'int'>\n",
-      "3.14 is of type <class 'float'>\n",
-      "Hello is of type <class 'str'>\n",
-      "True is of type <class 'bool'>\n",
-      "[1, 2, 3] is of type <class 'list'>\n",
-      "{'name': 'Alice', 'age': 30} is of type <class 'dict'>\n",
-      "(1, 2) is of type <class 'tuple'>\n",
-      "{1, 2, 3} is of type <class 'set'>\n"
-     ]
-    }
-   ],
-   "source": [
-    "import numpy as np\n",
-    "all_types = [1, 3.14, \"Hello\", True, [1, 2, 3], {\"name\": \"Alice\", \"age\": 30}, (1, 2), {1, 2, 3}]\n",
-    "\n",
-    "#print(type(all_types[-1]))\n",
-    "#all_types[5][\"name\"]\n",
-    "\n",
-    "def tell_list_item_type(lst):\n",
-    "    for item in lst:\n",
-    "        print(f\"{item} is of type {type(item)}\")\n",
-    "\n",
-    "tell_list_item_type(all_types)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a061d70d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "list3 = [1, 2, 2, 24, 5, True, 'g']\n",
-    "new_set = set(list3)\n",
-    "#print(new_set)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fbac0ecd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#A set is a collection which is unordered, unchangeable*, and unindexed. In Python, sets are written with curly brackets."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "43c09a96",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1 is of type <class 'int'>\n",
-      "2 is of type <class 'int'>\n",
-      "2 is of type <class 'int'>\n",
-      "24 is of type <class 'int'>\n",
-      "5 is of type <class 'int'>\n",
-      "True is of type <class 'bool'>\n",
-      "g is of type <class 'str'>\n"
-     ]
-    }
-   ],
-   "source": [
-    "tell_list_item_type(list3)"
+    "today_date = \"2026-02-12\"\n",
+    "date=pd.to_datetime(today_date)\n",
+    "date"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4c5c9023",
+   "id": "f132dab9",
    "metadata": {},
    "outputs": [],
    "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "myenv",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -209,7 +101,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.7"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,

Notebook2.ipynb

@@ -0,0 +1,73 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "1b3a412d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "----- BILL SUMMARY -----\n",
+      "Your Amount is Rs. 500.00\n",
+      "Your Discount is 5%\n",
+      "Your Discount Amount is Rs. 25.00\n",
+      "Your Final Amount is Rs. 475.00\n"
+     ]
+    }
+   ],
+   "source": [
+    "try:\n",
+    "    amount = float(input(\"Enter Amount: \"))\n",
+    "\n",
+    "    if amount <= 0:\n",
+    "        print(\"Amount must be greater than 0\")\n",
+    "\n",
+    "    elif amount <= 1000:\n",
+    "        discount = 5\n",
+    "    elif amount <= 10000:\n",
+    "        discount = 10\n",
+    "    elif amount <= 20000:\n",
+    "        discount = 15\n",
+    "    else:\n",
+    "        discount = 20\n",
+    "\n",
+    "    discount_amount = amount * (discount / 100)\n",
+    "    final_amount = amount - discount_amount\n",
+    "\n",
+    "    print(\"\\n----- BILL SUMMARY -----\")\n",
+    "    print(f\"Your Amount is Rs. {amount:.2f}\")\n",
+    "    print(f\"Your Discount is {discount}%\")\n",
+    "    print(f\"Your Discount Amount is Rs. {discount_amount:.2f}\")\n",
+    "    print(f\"Your Final Amount is Rs. {final_amount:.2f}\")\n",
+    "\n",
+    "except ValueError:\n",
+    "    print(\"Please enter a valid numeric amount\")\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "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": "3.13.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}