DSA-Python-Cap03-04-Range-checkpoint.ipynb

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   "source": [
    "# <font color='blue'>Data Science Academy - Python Fundamentos - Capítulo 3</font>\n",
    "\n",
    "## Download: http://github.com/dsacademybr"
   ]
  },
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      "Versão da Linguagem Python Usada Neste Jupyter Notebook: 3.7.6\n"
     ]
    }
   ],
   "source": [
    "# Versão da Linguagem Python\n",
    "from platform import python_version\n",
    "print('Versão da Linguagem Python Usada Neste Jupyter Notebook:', python_version())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50\n",
      "52\n",
      "54\n",
      "56\n",
      "58\n",
      "60\n",
      "62\n",
      "64\n",
      "66\n",
      "68\n",
      "70\n",
      "72\n",
      "74\n",
      "76\n",
      "78\n",
      "80\n",
      "82\n",
      "84\n",
      "86\n",
      "88\n",
      "90\n",
      "92\n",
      "94\n",
      "96\n",
      "98\n",
      "100\n"
     ]
    }
   ],
   "source": [
    "# Imprimindo números pares entre 50 e 101\n",
    "for i in range(50, 101, 2):\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3\n",
      "4\n",
      "5\n"
     ]
    }
   ],
   "source": [
    "for i in range(3, 6):\n",
    "    print (i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "0\n",
      "-2\n",
      "-4\n",
      "-6\n",
      "-8\n",
      "-10\n",
      "-12\n",
      "-14\n",
      "-16\n",
      "-18\n"
     ]
    }
   ],
   "source": [
    "for i in range(0, -20, -2):\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Morango\n",
      "Banana\n",
      "Abacaxi\n",
      "Uva\n"
     ]
    }
   ],
   "source": [
    "lista = ['Morango', 'Banana', 'Abacaxi', 'Uva']\n",
    "lista_tamanho = len(lista)\n",
    "for i in range(0, lista_tamanho):()\n",
    "    print(lista[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Tudo em Python é um objeto\n",
    "type(range(0,3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fim"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Obrigado - Data Science Academy - <a href=\"http://facebook.com/dsacademybr\">facebook.com/dsacademybr</a>"
   ]
  }
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