datatypes.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['apple', 'orange', 'banana', 'grapes']\n"
     ]
    }
   ],
   "source": [
    "fruits=['apple','orange','banana','grapes']\n",
    "print(fruits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('apple', 'orange', 'banana', 'grapes')\n"
     ]
    }
   ],
   "source": [
    "fruits=('apple','orange','banana','grapes')\n",
    "print(fruits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{2, 3, 4, 5, 6, 7, 8, 9}\n"
     ]
    }
   ],
   "source": [
    "a={2,4,6,3,5,7,8,4,6,4,2,7,9,5,6,4}\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Type Casting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12\n",
      "57\n"
     ]
    }
   ],
   "source": [
    "a=int(input(\"Enter a number: \"))\n",
    "b=int(input(\"Enter a number: \"))\n",
    "print(a+b)\n",
    "c=str(a)\n",
    "d=str(b)\n",
    "print(c+d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "myString='Hello World'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x=5\n",
    "y=5\n",
    "x==y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Value is: 50\n",
      "Percentage is: 10.0\n",
      "10.0% of 50 is 5.0\n"
     ]
    }
   ],
   "source": [
    "value=int(input(\"Enter a number:\"))\n",
    "percentage= float(input(\"Enter percentage:\"))\n",
    "print(\"Value is:\",value)\n",
    "print(\"Percentage is:\",percentage)\n",
    "per_value=(value*percentage)/100\n",
    "print(f\"{percentage}% of {value} is {per_value}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-14\n"
     ]
    }
   ],
   "source": [
    "num=10\n",
    "sum=5\n",
    "for i in range(num+1):\n",
    "    if (i%3==0):\n",
    "        sum=sum+i\n",
    "    else:\n",
    "        sum=sum-i\n",
    "    \n",
    "print(sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "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": "3.9.12"
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