17 List Comprehension.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "062f9a88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4, 16, 36, 64, 100]\n"
     ]
    }
   ],
   "source": [
    "lst1=[]\n",
    "def square_lst(lst):\n",
    "    for i in lst:\n",
    "        if i%2==0:\n",
    "            lst1.append(i*i)\n",
    "    return lst1\n",
    "lst=[1,2,3,4,5,6,7,8,9,10]\n",
    "a=square_lst(lst)\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f3243056",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4, 16, 36, 64, 100]\n"
     ]
    }
   ],
   "source": [
    "#list comprehension\n",
    "lst1=[i*i for i in lst if i%2==0]\n",
    "print(lst1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa774dc3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}