diff --git a/Notebook1.ipynb b/Notebook1.ipynb index 9cfd576..6509e3b 100644 --- a/Notebook1.ipynb +++ b/Notebook1.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "73fb95c9", "metadata": {}, "outputs": [ @@ -10,184 +10,76 @@ "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": [ - "\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: " + "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 \n", - "3.14 is of type \n", - "Hello is of type \n", - "True is of type \n", - "[1, 2, 3] is of type \n", - "{'name': 'Alice', 'age': 30} is of type \n", - "(1, 2) is of type \n", - "{1, 2, 3} is of type \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 \n", - "2 is of type \n", - "2 is of type \n", - "24 is of type \n", - "5 is of type \n", - "True is of type \n", - "g is of type \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": [] @@ -195,7 +87,7 @@ ], "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, diff --git a/Notebook2.ipynb b/Notebook2.ipynb new file mode 100644 index 0000000..dc15b4a --- /dev/null +++ b/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 +}