08-lambda-function.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "double =lambda x :x*2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2, 4, 56]\n"
     ]
    }
   ],
   "source": [
    "mylist = [1,2,3,4,56,745]\n",
    "newlist = list(filter(lambda x: (x%2==0),mylist))\n",
    "print(newlist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'list' object is not callable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32md:\\Python\\python_practice\\08-lambda-function.ipynb Cell 3\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      <a href='vscode-notebook-cell:/d%3A/Python/python_practice/08-lambda-function.ipynb#W2sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m mylist \u001b[39m=\u001b[39m[\u001b[39m1\u001b[39m,\u001b[39m2\u001b[39m,\u001b[39m3\u001b[39m,\u001b[39m4\u001b[39m,\u001b[39m5\u001b[39m,\u001b[39m6\u001b[39m,\u001b[39m7\u001b[39m,\u001b[39m8\u001b[39m,\u001b[39m9\u001b[39m]\n\u001b[1;32m----> <a href='vscode-notebook-cell:/d%3A/Python/python_practice/08-lambda-function.ipynb#W2sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m even_list \u001b[39m=\u001b[39m \u001b[39mlist\u001b[39;49m(\u001b[39mfilter\u001b[39;49m(\u001b[39mlambda\u001b[39;49;00m x:(x\u001b[39m%\u001b[39;49m\u001b[39m2\u001b[39;49m\u001b[39m==\u001b[39;49m\u001b[39m0\u001b[39;49m),mylist))\n\u001b[0;32m      <a href='vscode-notebook-cell:/d%3A/Python/python_practice/08-lambda-function.ipynb#W2sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m \u001b[39mprint\u001b[39m(even_list)\n",
      "\u001b[1;31mTypeError\u001b[0m: 'list' object is not callable"
     ]
    }
   ],
   "source": [
    "mylist =[1,2,3,4,5,6,7,8,9]\n",
    "even_list = list(filter(lambda x:(x%2==0),mylist))\n",
    "print(even_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WELCOME TO TOPS\n"
     ]
    }
   ],
   "source": [
    "str = \"welcome to tops\"\n",
    "upper =lambda string: string.upper()\n",
    "print(upper(str))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SPOT OT EMOCLEW\n"
     ]
    }
   ],
   "source": [
    "str=\"welcome to tops\"\n",
    "rev_upper =lambda string: string.upper()[::-1]\n",
    "print(rev_upper(str))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "spot ot emoclew\n"
     ]
    }
   ],
   "source": [
    "str =\"welcome to tops\"\n",
    "rev= lambda string:string[::-1]\n",
    "print(rev(str))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SPOT OT EMOCLEW\n"
     ]
    }
   ],
   "source": [
    "rev_upper=lambda string:string.upper()[::-1]\n",
    "print(rev_upper(str))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "spot ot emoclew\n"
     ]
    }
   ],
   "source": [
    "rev_lower =lambda string:string.lower()[::-1]\n",
    "print(rev_lower(str))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "welcome to tops\n"
     ]
    }
   ],
   "source": [
    "rev = lambda string:string.lower()\n",
    "print(rev(str))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10\n",
      "20\n",
      "30\n",
      "40\n"
     ]
    }
   ],
   "source": [
    "list =[lambda args=x:args*10 for x in range(1,5) ] \n",
    "for items in list:\n",
    "    print(items())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11\n",
      "12\n",
      "13\n",
      "14\n",
      "15\n",
      "16\n",
      "17\n",
      "18\n",
      "19\n",
      "20\n"
     ]
    }
   ],
   "source": [
    "list =[lambda args=x:args + 10 for x in range (1,11)]\n",
    "for items in list:\n",
    "    print(items())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n",
      "5\n",
      "6\n",
      "7\n",
      "8\n",
      "9\n",
      "10\n",
      "11\n",
      "12\n",
      "13\n",
      "14\n",
      "15\n",
      "16\n",
      "17\n"
     ]
    }
   ],
   "source": [
    "list= [lambda args=x:args - 2 for x in range(2,20)]\n",
    "for items in list:\n",
    "    print(items())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def square (a):\n",
    "    print(a*a)\n",
    "    square(5)\n",
    "    print(square(5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- mapping funtion\n",
    "syntax:map(function_name,iterable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def square (n):\n",
    "    return n*n\n",
    "    numbers =(1,2,3,4,5)\n",
    "    result = map(square,numbers)\n",
    "    print(list(result))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'list' object is not callable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32md:\\Python\\python_practice\\08-lambda-function.ipynb Cell 16\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      <a href='vscode-notebook-cell:/d%3A/Python/python_practice/08-lambda-function.ipynb#X21sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m mylist \u001b[39m=\u001b[39m[\u001b[39m\"\u001b[39m\u001b[39mindia\u001b[39m\u001b[39m\"\u001b[39m,\u001b[39m\"\u001b[39m\u001b[39m\"\u001b[39m,\u001b[39m\"\u001b[39m\u001b[39mberlin\u001b[39m\u001b[39m\"\u001b[39m,\u001b[39m\"\u001b[39m\u001b[39m\"\u001b[39m,\u001b[39m\"\u001b[39m\u001b[39m\"\u001b[39m,\u001b[39m\"\u001b[39m\u001b[39mlondon\u001b[39m\u001b[39m\"\u001b[39m,\u001b[39m\"\u001b[39m\u001b[39mtokyo\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[1;32m----> <a href='vscode-notebook-cell:/d%3A/Python/python_practice/08-lambda-function.ipynb#X21sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39mlist\u001b[39;49m(\u001b[39mfilter\u001b[39;49m(\u001b[39mNone\u001b[39;49;00m,mylist)))\n",
      "\u001b[1;31mTypeError\u001b[0m: 'list' object is not callable"
     ]
    }
   ],
   "source": [
    "\n",
    "mylist =[\"india\",\"\",\"berlin\",\"\",\"\",\"london\",\"tokyo\"]\n",
    "print(list(filter(None,mylist)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "45\n"
     ]
    }
   ],
   "source": [
    "from functools import reduce\n",
    "mylist=[1,2,3,4,5,6,7,8,9]\n",
    "sum =reduce((lambda x,y:(x+y)),mylist)\n",
    "print(sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sum is 45\n"
     ]
    }
   ],
   "source": [
    "from functools import reduce\n",
    "mylist=[1,2,3,4,5,6,7,8,9]\n",
    "sum =reduce((lambda x,y:(x+y)),mylist)\n",
    "if sum==45:\n",
    "    print(\"sum is 45\")\n",
    "else:\n",
    "    print(\"sum is 55\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from functools import reduce\n",
    "mylist = [11,22,33,44,55,66]\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.12 ('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"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "daee99e6893c0f9b4fa2cee7c11289a4ac1788238c3c1d2caa83921531d37465"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}