pythonlearning/Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Happy 23rd Birthday!\n"
     ]
    }
   ],
   "source": [
    "age = 23\n",
    "message = \"Happy \" + str(age) + \"rd Birthday!\"\n",
    "\n",
    "print(message)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello, Ada Lovelace!\n"
     ]
    }
   ],
   "source": [
    "# %load chapter_02/name.py\n",
    "first_name = \"ada\"\n",
    "last_name = \"lovelace\"\n",
    "full_name = first_name + \" \" + last_name\n",
    "\n",
    "message = \"Hello, \" + full_name.title() + \"!\"\n",
    "print(message)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def sum(a,b):\n",
    "    return a + b\n",
    "sum(12,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['honda', 'yamaha', 'suzuki', 'ducati']\n",
      "['honda', 'yamaha', 'suzuki']\n",
      "\n",
      "A Ducati is too expensive for me.\n"
     ]
    }
   ],
   "source": [
    "motorcycles = ['honda', 'yamaha', 'suzuki', 'ducati'] \n",
    "print(motorcycles)\n",
    "\n",
    "too_expensive = 'ducati'\n",
    "motorcycles.remove(too_expensive)\n",
    "print(motorcycles)\n",
    "print(\"\\nA \" + too_expensive.title() + \" is too expensive for me.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['dog', 'cat', 'dog', 'goldfish', 'cat', 'rabbit', 'cat']\n",
      "['dog', 'dog', 'goldfish', 'rabbit']\n"
     ]
    }
   ],
   "source": [
    "pets = ['dog', 'cat', 'dog', 'goldfish', 'cat', 'rabbit', 'cat']\n",
    "print(pets)\n",
    "\n",
    "while 'cat' in pets:\n",
    "    pets.remove('cat')\n",
    "    \n",
    "print(pets)\n"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
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 "nbformat": 4,
 "nbformat_minor": 4
}