{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Jupyter Notebook e Python\n",
    "Jupyter é acrônimo das linguagens JUlya, PYThon e R. Um notebook é um arquivo .ipynb\n",
    "Um notebook é uma coleção de células. Uma célula com borda verde (ou azul) está editável, enquanto uma célula com bordas cinzas não está editável.  \n",
    "A princípio células podem ser de código, de saída (out) ou markdown. Células de código são linhas da linguagem Python (Julya ou R). Células markdown permitem anotações para construção de uma aula ou apresentação de python, com comandos próprios do Jupyter Notebook\n",
    "#### Atalhos básicos:\n",
    "ESC - Permite sair do modo editável para não editável\n",
    "ENTER - Permite entrar no modo de edição da célula\n",
    "SHIFT + ENTER - Permite executar a célula corrente\n",
    "\n",
    "#### Outros atalhos, no modo não editável:\n",
    "a: célula criada acima da célula corrente (above)\n",
    "\n",
    "b: célula criada abaixo da célula corrente (below)\n",
    "\n",
    "m: transforma célula em markdown \n",
    "\n",
    "x: recorta célula\n",
    "\n",
    "c: copia célula\n",
    "\n",
    "v: cola célula\n",
    "\n",
    "dd: apaga célula\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ola mundo\n"
     ]
    }
   ],
   "source": [
    "print(\"Ola mundo\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> Zen do Python </h3>\n",
    "##### Por Tim Peters, um influente programador de Python\n",
    "\n",
    "1. Bonito é melhor que feio.\n",
    "2. Explícito é melhor que implícito.\n",
    "3. Simples é melhor que complexo.\n",
    "4. Complexo é melhor que complicado.\n",
    "5. Plano é melhor que aglomerado.\n",
    "6. Escasso é melhor que denso.\n",
    "7. O que conta é a legibilidade.\n",
    "8. Casos especiais não são especiais o bastante para quebrar as regras.\n",
    "9. A natureza prática derruba a teórica.\n",
    "10. Erros nunca deveriam passar silenciosamente.\n",
    "11. a menos que explicitamente silenciasse.\n",
    "12. Diante da ambigüidade, recuse a tentação de adivinhar.\n",
    "13. Deveria haver um -- e preferivelmente só um -- modo óbvio para fazer as coisas.\n",
    "14. Embora aquele modo possa não ser óbvio a menos que você seja holandês.\n",
    "15. Agora é melhor que nunca.\n",
    "16. Embora nunca é freqüentemente melhor que *agora mesmo*.\n",
    "17. Se a implementação é difícil para explicar, isto é uma idéia ruim.\n",
    "18. Se a implementação é fácil para explicar, pode ser uma idéia boa.\n",
    "19. Namespaces são uma grande idéia -- façamos mais uso desses!\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importação de pacotes de processamento numérico"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> Importação de Pacotes Processamento gráfico </h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Uso do Latex\n",
    "$$ N_0 \\cdot e^{-\\lambda t} $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World\n"
     ]
    }
   ],
   "source": [
    "print(\"Hello World\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exibição de imagens\n",
    "![title](lenna512x512.png)\n",
    "\n",
    "Lenna Sjööblom, Playboy, 1972\n",
    "\n",
    "https://www.ee.cityu.edu.hk/~lmpo/lenna/Lenna97.html\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![title](LennaCover1972_11_lrg.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![title](len_istOld.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Propriedades\n",
    "Python é fortemente tipado dinamicamente, tipicamente (por exemplo, você não precisa declarar\n",
    "variáveis), sensível a maiúsculas e minúsculas (isto é, var e VAR são duas variáveis diferentes) e\n",
    "orientado a objetos (ou seja, tudo é um objeto)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on int object:\n",
      "\n",
      "class int(object)\n",
      " |  int([x]) -> integer\n",
      " |  int(x, base=10) -> integer\n",
      " |  \n",
      " |  Convert a number or string to an integer, or return 0 if no arguments\n",
      " |  are given.  If x is a number, return x.__int__().  For floating point\n",
      " |  numbers, this truncates towards zero.\n",
      " |  \n",
      " |  If x is not a number or if base is given, then x must be a string,\n",
      " |  bytes, or bytearray instance representing an integer literal in the\n",
      " |  given base.  The literal can be preceded by '+' or '-' and be surrounded\n",
      " |  by whitespace.  The base defaults to 10.  Valid bases are 0 and 2-36.\n",
      " |  Base 0 means to interpret the base from the string as an integer literal.\n",
      " |  >>> int('0b100', base=0)\n",
      " |  4\n",
      " |  \n",
      " |  Built-in subclasses:\n",
      " |      bool\n",
      " |  \n",
      " |  Methods defined here:\n",
      " |  \n",
      " |  __abs__(self, /)\n",
      " |      abs(self)\n",
      " |  \n",
      " |  __add__(self, value, /)\n",
      " |      Return self+value.\n",
      " |  \n",
      " |  __and__(self, value, /)\n",
      " |      Return self&value.\n",
      " |  \n",
      " |  __bool__(self, /)\n",
      " |      True if self else False\n",
      " |  \n",
      " |  __ceil__(...)\n",
      " |      Ceiling of an Integral returns itself.\n",
      " |  \n",
      " |  __divmod__(self, value, /)\n",
      " |      Return divmod(self, value).\n",
      " |  \n",
      " |  __eq__(self, value, /)\n",
      " |      Return self==value.\n",
      " |  \n",
      " |  __float__(self, /)\n",
      " |      float(self)\n",
      " |  \n",
      " |  __floor__(...)\n",
      " |      Flooring an Integral returns itself.\n",
      " |  \n",
      " |  __floordiv__(self, value, /)\n",
      " |      Return self//value.\n",
      " |  \n",
      " |  __format__(self, format_spec, /)\n",
      " |      Default object formatter.\n",
      " |  \n",
      " |  __ge__(self, value, /)\n",
      " |      Return self>=value.\n",
      " |  \n",
      " |  __getattribute__(self, name, /)\n",
      " |      Return getattr(self, name).\n",
      " |  \n",
      " |  __getnewargs__(self, /)\n",
      " |  \n",
      " |  __gt__(self, value, /)\n",
      " |      Return self>value.\n",
      " |  \n",
      " |  __hash__(self, /)\n",
      " |      Return hash(self).\n",
      " |  \n",
      " |  __index__(self, /)\n",
      " |      Return self converted to an integer, if self is suitable for use as an index into a list.\n",
      " |  \n",
      " |  __int__(self, /)\n",
      " |      int(self)\n",
      " |  \n",
      " |  __invert__(self, /)\n",
      " |      ~self\n",
      " |  \n",
      " |  __le__(self, value, /)\n",
      " |      Return self<=value.\n",
      " |  \n",
      " |  __lshift__(self, value, /)\n",
      " |      Return self<<value.\n",
      " |  \n",
      " |  __lt__(self, value, /)\n",
      " |      Return self<value.\n",
      " |  \n",
      " |  __mod__(self, value, /)\n",
      " |      Return self%value.\n",
      " |  \n",
      " |  __mul__(self, value, /)\n",
      " |      Return self*value.\n",
      " |  \n",
      " |  __ne__(self, value, /)\n",
      " |      Return self!=value.\n",
      " |  \n",
      " |  __neg__(self, /)\n",
      " |      -self\n",
      " |  \n",
      " |  __or__(self, value, /)\n",
      " |      Return self|value.\n",
      " |  \n",
      " |  __pos__(self, /)\n",
      " |      +self\n",
      " |  \n",
      " |  __pow__(self, value, mod=None, /)\n",
      " |      Return pow(self, value, mod).\n",
      " |  \n",
      " |  __radd__(self, value, /)\n",
      " |      Return value+self.\n",
      " |  \n",
      " |  __rand__(self, value, /)\n",
      " |      Return value&self.\n",
      " |  \n",
      " |  __rdivmod__(self, value, /)\n",
      " |      Return divmod(value, self).\n",
      " |  \n",
      " |  __repr__(self, /)\n",
      " |      Return repr(self).\n",
      " |  \n",
      " |  __rfloordiv__(self, value, /)\n",
      " |      Return value//self.\n",
      " |  \n",
      " |  __rlshift__(self, value, /)\n",
      " |      Return value<<self.\n",
      " |  \n",
      " |  __rmod__(self, value, /)\n",
      " |      Return value%self.\n",
      " |  \n",
      " |  __rmul__(self, value, /)\n",
      " |      Return value*self.\n",
      " |  \n",
      " |  __ror__(self, value, /)\n",
      " |      Return value|self.\n",
      " |  \n",
      " |  __round__(...)\n",
      " |      Rounding an Integral returns itself.\n",
      " |      Rounding with an ndigits argument also returns an integer.\n",
      " |  \n",
      " |  __rpow__(self, value, mod=None, /)\n",
      " |      Return pow(value, self, mod).\n",
      " |  \n",
      " |  __rrshift__(self, value, /)\n",
      " |      Return value>>self.\n",
      " |  \n",
      " |  __rshift__(self, value, /)\n",
      " |      Return self>>value.\n",
      " |  \n",
      " |  __rsub__(self, value, /)\n",
      " |      Return value-self.\n",
      " |  \n",
      " |  __rtruediv__(self, value, /)\n",
      " |      Return value/self.\n",
      " |  \n",
      " |  __rxor__(self, value, /)\n",
      " |      Return value^self.\n",
      " |  \n",
      " |  __sizeof__(self, /)\n",
      " |      Returns size in memory, in bytes.\n",
      " |  \n",
      " |  __sub__(self, value, /)\n",
      " |      Return self-value.\n",
      " |  \n",
      " |  __truediv__(self, value, /)\n",
      " |      Return self/value.\n",
      " |  \n",
      " |  __trunc__(...)\n",
      " |      Truncating an Integral returns itself.\n",
      " |  \n",
      " |  __xor__(self, value, /)\n",
      " |      Return self^value.\n",
      " |  \n",
      " |  as_integer_ratio(self, /)\n",
      " |      Return integer ratio.\n",
      " |      \n",
      " |      Return a pair of integers, whose ratio is exactly equal to the original int\n",
      " |      and with a positive denominator.\n",
      " |      \n",
      " |      >>> (10).as_integer_ratio()\n",
      " |      (10, 1)\n",
      " |      >>> (-10).as_integer_ratio()\n",
      " |      (-10, 1)\n",
      " |      >>> (0).as_integer_ratio()\n",
      " |      (0, 1)\n",
      " |  \n",
      " |  bit_length(self, /)\n",
      " |      Number of bits necessary to represent self in binary.\n",
      " |      \n",
      " |      >>> bin(37)\n",
      " |      '0b100101'\n",
      " |      >>> (37).bit_length()\n",
      " |      6\n",
      " |  \n",
      " |  conjugate(...)\n",
      " |      Returns self, the complex conjugate of any int.\n",
      " |  \n",
      " |  to_bytes(self, /, length, byteorder, *, signed=False)\n",
      " |      Return an array of bytes representing an integer.\n",
      " |      \n",
      " |      length\n",
      " |        Length of bytes object to use.  An OverflowError is raised if the\n",
      " |        integer is not representable with the given number of bytes.\n",
      " |      byteorder\n",
      " |        The byte order used to represent the integer.  If byteorder is 'big',\n",
      " |        the most significant byte is at the beginning of the byte array.  If\n",
      " |        byteorder is 'little', the most significant byte is at the end of the\n",
      " |        byte array.  To request the native byte order of the host system, use\n",
      " |        `sys.byteorder' as the byte order value.\n",
      " |      signed\n",
      " |        Determines whether two's complement is used to represent the integer.\n",
      " |        If signed is False and a negative integer is given, an OverflowError\n",
      " |        is raised.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Class methods defined here:\n",
      " |  \n",
      " |  from_bytes(bytes, byteorder, *, signed=False) from builtins.type\n",
      " |      Return the integer represented by the given array of bytes.\n",
      " |      \n",
      " |      bytes\n",
      " |        Holds the array of bytes to convert.  The argument must either\n",
      " |        support the buffer protocol or be an iterable object producing bytes.\n",
      " |        Bytes and bytearray are examples of built-in objects that support the\n",
      " |        buffer protocol.\n",
      " |      byteorder\n",
      " |        The byte order used to represent the integer.  If byteorder is 'big',\n",
      " |        the most significant byte is at the beginning of the byte array.  If\n",
      " |        byteorder is 'little', the most significant byte is at the end of the\n",
      " |        byte array.  To request the native byte order of the host system, use\n",
      " |        `sys.byteorder' as the byte order value.\n",
      " |      signed\n",
      " |        Indicates whether two's complement is used to represent the integer.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Static methods defined here:\n",
      " |  \n",
      " |  __new__(*args, **kwargs) from builtins.type\n",
      " |      Create and return a new object.  See help(type) for accurate signature.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors defined here:\n",
      " |  \n",
      " |  denominator\n",
      " |      the denominator of a rational number in lowest terms\n",
      " |  \n",
      " |  imag\n",
      " |      the imaginary part of a complex number\n",
      " |  \n",
      " |  numerator\n",
      " |      the numerator of a rational number in lowest terms\n",
      " |  \n",
      " |  real\n",
      " |      the real part of a complex number\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__abs__',\n",
       " '__add__',\n",
       " '__and__',\n",
       " '__bool__',\n",
       " '__ceil__',\n",
       " '__class__',\n",
       " '__delattr__',\n",
       " '__dir__',\n",
       " '__divmod__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__float__',\n",
       " '__floor__',\n",
       " '__floordiv__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__getnewargs__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__index__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__int__',\n",
       " '__invert__',\n",
       " '__le__',\n",
       " '__lshift__',\n",
       " '__lt__',\n",
       " '__mod__',\n",
       " '__mul__',\n",
       " '__ne__',\n",
       " '__neg__',\n",
       " '__new__',\n",
       " '__or__',\n",
       " '__pos__',\n",
       " '__pow__',\n",
       " '__radd__',\n",
       " '__rand__',\n",
       " '__rdivmod__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__rfloordiv__',\n",
       " '__rlshift__',\n",
       " '__rmod__',\n",
       " '__rmul__',\n",
       " '__ror__',\n",
       " '__round__',\n",
       " '__rpow__',\n",
       " '__rrshift__',\n",
       " '__rshift__',\n",
       " '__rsub__',\n",
       " '__rtruediv__',\n",
       " '__rxor__',\n",
       " '__setattr__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__sub__',\n",
       " '__subclasshook__',\n",
       " '__truediv__',\n",
       " '__trunc__',\n",
       " '__xor__',\n",
       " 'as_integer_ratio',\n",
       " 'bit_length',\n",
       " 'conjugate',\n",
       " 'denominator',\n",
       " 'from_bytes',\n",
       " 'imag',\n",
       " 'numerator',\n",
       " 'real',\n",
       " 'to_bytes']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Annotation',\n",
       " 'Arrow',\n",
       " 'Artist',\n",
       " 'AutoLocator',\n",
       " 'Axes',\n",
       " 'Button',\n",
       " 'Circle',\n",
       " 'Figure',\n",
       " 'FigureCanvasBase',\n",
       " 'FixedFormatter',\n",
       " 'FixedLocator',\n",
       " 'FormatStrFormatter',\n",
       " 'Formatter',\n",
       " 'FuncFormatter',\n",
       " 'GridSpec',\n",
       " 'IndexLocator',\n",
       " 'Line2D',\n",
       " 'LinearLocator',\n",
       " 'Locator',\n",
       " 'LogFormatter',\n",
       " 'LogFormatterExponent',\n",
       " 'LogFormatterMathtext',\n",
       " 'LogLocator',\n",
       " 'MaxNLocator',\n",
       " 'MouseButton',\n",
       " 'MultipleLocator',\n",
       " 'Normalize',\n",
       " 'NullFormatter',\n",
       " 'NullLocator',\n",
       " 'Number',\n",
       " 'PolarAxes',\n",
       " 'Polygon',\n",
       " 'Rectangle',\n",
       " 'ScalarFormatter',\n",
       " 'Slider',\n",
       " 'Subplot',\n",
       " 'SubplotSpec',\n",
       " 'Text',\n",
       " 'TickHelper',\n",
       " 'Widget',\n",
       " '_INSTALL_FIG_OBSERVER',\n",
       " '_IP_REGISTERED',\n",
       " '_IoffContext',\n",
       " '_IonContext',\n",
       " '__builtins__',\n",
       " '__cached__',\n",
       " '__doc__',\n",
       " '__file__',\n",
       " '__loader__',\n",
       " '__name__',\n",
       " '__package__',\n",
       " '__spec__',\n",
       " '_api',\n",
       " '_auto_draw_if_interactive',\n",
       " '_backend_mod',\n",
       " '_copy_docstring_and_deprecators',\n",
       " '_get_required_interactive_framework',\n",
       " '_interactive_bk',\n",
       " '_log',\n",
       " '_pylab_helpers',\n",
       " '_setup_pyplot_info_docstrings',\n",
       " '_warn_if_gui_out_of_main_thread',\n",
       " '_xkcd',\n",
       " 'acorr',\n",
       " 'angle_spectrum',\n",
       " 'annotate',\n",
       " 'arrow',\n",
       " 'autoscale',\n",
       " 'autumn',\n",
       " 'axes',\n",
       " 'axhline',\n",
       " 'axhspan',\n",
       " 'axis',\n",
       " 'axline',\n",
       " 'axvline',\n",
       " 'axvspan',\n",
       " 'bar',\n",
       " 'bar_label',\n",
       " 'barbs',\n",
       " 'barh',\n",
       " 'bone',\n",
       " 'box',\n",
       " 'boxplot',\n",
       " 'broken_barh',\n",
       " 'cbook',\n",
       " 'cla',\n",
       " 'clabel',\n",
       " 'clf',\n",
       " 'clim',\n",
       " 'close',\n",
       " 'cm',\n",
       " 'cohere',\n",
       " 'colorbar',\n",
       " 'colormaps',\n",
       " 'connect',\n",
       " 'contour',\n",
       " 'contourf',\n",
       " 'cool',\n",
       " 'copper',\n",
       " 'csd',\n",
       " 'cycler',\n",
       " 'delaxes',\n",
       " 'disconnect',\n",
       " 'docstring',\n",
       " 'draw',\n",
       " 'draw_all',\n",
       " 'draw_if_interactive',\n",
       " 'errorbar',\n",
       " 'eventplot',\n",
       " 'figaspect',\n",
       " 'figimage',\n",
       " 'figlegend',\n",
       " 'fignum_exists',\n",
       " 'figtext',\n",
       " 'figure',\n",
       " 'fill',\n",
       " 'fill_between',\n",
       " 'fill_betweenx',\n",
       " 'findobj',\n",
       " 'flag',\n",
       " 'functools',\n",
       " 'gca',\n",
       " 'gcf',\n",
       " 'gci',\n",
       " 'get',\n",
       " 'get_backend',\n",
       " 'get_cmap',\n",
       " 'get_current_fig_manager',\n",
       " 'get_figlabels',\n",
       " 'get_fignums',\n",
       " 'get_plot_commands',\n",
       " 'get_scale_names',\n",
       " 'getp',\n",
       " 'ginput',\n",
       " 'gray',\n",
       " 'grid',\n",
       " 'hexbin',\n",
       " 'hist',\n",
       " 'hist2d',\n",
       " 'hlines',\n",
       " 'hot',\n",
       " 'hsv',\n",
       " 'importlib',\n",
       " 'imread',\n",
       " 'imsave',\n",
       " 'imshow',\n",
       " 'inferno',\n",
       " 'inspect',\n",
       " 'install_repl_displayhook',\n",
       " 'interactive',\n",
       " 'ioff',\n",
       " 'ion',\n",
       " 'isinteractive',\n",
       " 'jet',\n",
       " 'legend',\n",
       " 'locator_params',\n",
       " 'logging',\n",
       " 'loglog',\n",
       " 'magma',\n",
       " 'magnitude_spectrum',\n",
       " 'margins',\n",
       " 'matplotlib',\n",
       " 'matshow',\n",
       " 'minorticks_off',\n",
       " 'minorticks_on',\n",
       " 'mlab',\n",
       " 'new_figure_manager',\n",
       " 'nipy_spectral',\n",
       " 'np',\n",
       " 'pause',\n",
       " 'pcolor',\n",
       " 'pcolormesh',\n",
       " 'phase_spectrum',\n",
       " 'pie',\n",
       " 'pink',\n",
       " 'plasma',\n",
       " 'plot',\n",
       " 'plot_date',\n",
       " 'plotting',\n",
       " 'polar',\n",
       " 'prism',\n",
       " 'psd',\n",
       " 'quiver',\n",
       " 'quiverkey',\n",
       " 'rc',\n",
       " 'rcParams',\n",
       " 'rcParamsDefault',\n",
       " 'rcParamsOrig',\n",
       " 'rc_context',\n",
       " 'rcdefaults',\n",
       " 'rcsetup',\n",
       " 're',\n",
       " 'register_cmap',\n",
       " 'rgrids',\n",
       " 'savefig',\n",
       " 'sca',\n",
       " 'scatter',\n",
       " 'sci',\n",
       " 'semilogx',\n",
       " 'semilogy',\n",
       " 'set_cmap',\n",
       " 'set_loglevel',\n",
       " 'setp',\n",
       " 'show',\n",
       " 'specgram',\n",
       " 'spring',\n",
       " 'spy',\n",
       " 'stackplot',\n",
       " 'stairs',\n",
       " 'stem',\n",
       " 'step',\n",
       " 'streamplot',\n",
       " 'style',\n",
       " 'subplot',\n",
       " 'subplot2grid',\n",
       " 'subplot_mosaic',\n",
       " 'subplot_tool',\n",
       " 'subplots',\n",
       " 'subplots_adjust',\n",
       " 'summer',\n",
       " 'suptitle',\n",
       " 'switch_backend',\n",
       " 'sys',\n",
       " 'table',\n",
       " 'text',\n",
       " 'thetagrids',\n",
       " 'threading',\n",
       " 'tick_params',\n",
       " 'ticklabel_format',\n",
       " 'tight_layout',\n",
       " 'time',\n",
       " 'title',\n",
       " 'tricontour',\n",
       " 'tricontourf',\n",
       " 'tripcolor',\n",
       " 'triplot',\n",
       " 'twinx',\n",
       " 'twiny',\n",
       " 'uninstall_repl_displayhook',\n",
       " 'violinplot',\n",
       " 'viridis',\n",
       " 'vlines',\n",
       " 'waitforbuttonpress',\n",
       " 'winter',\n",
       " 'xcorr',\n",
       " 'xkcd',\n",
       " 'xlabel',\n",
       " 'xlim',\n",
       " 'xscale',\n",
       " 'xticks',\n",
       " 'ylabel',\n",
       " 'ylim',\n",
       " 'yscale',\n",
       " 'yticks']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(plt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=np.linspace(0,10,100)   #gera 100 numeros entre 0 e 10. No matlab ==> x=0:0.1:10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.        ,  0.1010101 ,  0.2020202 ,  0.3030303 ,  0.4040404 ,\n",
       "        0.50505051,  0.60606061,  0.70707071,  0.80808081,  0.90909091,\n",
       "        1.01010101,  1.11111111,  1.21212121,  1.31313131,  1.41414141,\n",
       "        1.51515152,  1.61616162,  1.71717172,  1.81818182,  1.91919192,\n",
       "        2.02020202,  2.12121212,  2.22222222,  2.32323232,  2.42424242,\n",
       "        2.52525253,  2.62626263,  2.72727273,  2.82828283,  2.92929293,\n",
       "        3.03030303,  3.13131313,  3.23232323,  3.33333333,  3.43434343,\n",
       "        3.53535354,  3.63636364,  3.73737374,  3.83838384,  3.93939394,\n",
       "        4.04040404,  4.14141414,  4.24242424,  4.34343434,  4.44444444,\n",
       "        4.54545455,  4.64646465,  4.74747475,  4.84848485,  4.94949495,\n",
       "        5.05050505,  5.15151515,  5.25252525,  5.35353535,  5.45454545,\n",
       "        5.55555556,  5.65656566,  5.75757576,  5.85858586,  5.95959596,\n",
       "        6.06060606,  6.16161616,  6.26262626,  6.36363636,  6.46464646,\n",
       "        6.56565657,  6.66666667,  6.76767677,  6.86868687,  6.96969697,\n",
       "        7.07070707,  7.17171717,  7.27272727,  7.37373737,  7.47474747,\n",
       "        7.57575758,  7.67676768,  7.77777778,  7.87878788,  7.97979798,\n",
       "        8.08080808,  8.18181818,  8.28282828,  8.38383838,  8.48484848,\n",
       "        8.58585859,  8.68686869,  8.78787879,  8.88888889,  8.98989899,\n",
       "        9.09090909,  9.19191919,  9.29292929,  9.39393939,  9.49494949,\n",
       "        9.5959596 ,  9.6969697 ,  9.7979798 ,  9.8989899 , 10.        ])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0.          0.1010101   0.2020202   0.3030303   0.4040404   0.50505051\n",
      "  0.60606061  0.70707071  0.80808081  0.90909091  1.01010101  1.11111111\n",
      "  1.21212121  1.31313131  1.41414141  1.51515152  1.61616162  1.71717172\n",
      "  1.81818182  1.91919192  2.02020202  2.12121212  2.22222222  2.32323232\n",
      "  2.42424242  2.52525253  2.62626263  2.72727273  2.82828283  2.92929293\n",
      "  3.03030303  3.13131313  3.23232323  3.33333333  3.43434343  3.53535354\n",
      "  3.63636364  3.73737374  3.83838384  3.93939394  4.04040404  4.14141414\n",
      "  4.24242424  4.34343434  4.44444444  4.54545455  4.64646465  4.74747475\n",
      "  4.84848485  4.94949495  5.05050505  5.15151515  5.25252525  5.35353535\n",
      "  5.45454545  5.55555556  5.65656566  5.75757576  5.85858586  5.95959596\n",
      "  6.06060606  6.16161616  6.26262626  6.36363636  6.46464646  6.56565657\n",
      "  6.66666667  6.76767677  6.86868687  6.96969697  7.07070707  7.17171717\n",
      "  7.27272727  7.37373737  7.47474747  7.57575758  7.67676768  7.77777778\n",
      "  7.87878788  7.97979798  8.08080808  8.18181818  8.28282828  8.38383838\n",
      "  8.48484848  8.58585859  8.68686869  8.78787879  8.88888889  8.98989899\n",
      "  9.09090909  9.19191919  9.29292929  9.39393939  9.49494949  9.5959596\n",
      "  9.6969697   9.7979798   9.8989899  10.        ]\n"
     ]
    }
   ],
   "source": [
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ALLOW_THREADS',\n",
       " 'AxisError',\n",
       " 'BUFSIZE',\n",
       " 'Bytes0',\n",
       " 'CLIP',\n",
       " 'ComplexWarning',\n",
       " 'DataSource',\n",
       " 'Datetime64',\n",
       " 'ERR_CALL',\n",
       " 'ERR_DEFAULT',\n",
       " 'ERR_IGNORE',\n",
       " 'ERR_LOG',\n",
       " 'ERR_PRINT',\n",
       " 'ERR_RAISE',\n",
       " 'ERR_WARN',\n",
       " 'FLOATING_POINT_SUPPORT',\n",
       " 'FPE_DIVIDEBYZERO',\n",
       " 'FPE_INVALID',\n",
       " 'FPE_OVERFLOW',\n",
       " 'FPE_UNDERFLOW',\n",
       " 'False_',\n",
       " 'Inf',\n",
       " 'Infinity',\n",
       " 'MAXDIMS',\n",
       " 'MAY_SHARE_BOUNDS',\n",
       " 'MAY_SHARE_EXACT',\n",
       " 'MachAr',\n",
       " 'ModuleDeprecationWarning',\n",
       " 'NAN',\n",
       " 'NINF',\n",
       " 'NZERO',\n",
       " 'NaN',\n",
       " 'PINF',\n",
       " 'PZERO',\n",
       " 'RAISE',\n",
       " 'RankWarning',\n",
       " 'SHIFT_DIVIDEBYZERO',\n",
       " 'SHIFT_INVALID',\n",
       " 'SHIFT_OVERFLOW',\n",
       " 'SHIFT_UNDERFLOW',\n",
       " 'ScalarType',\n",
       " 'Str0',\n",
       " 'Tester',\n",
       " 'TooHardError',\n",
       " 'True_',\n",
       " 'UFUNC_BUFSIZE_DEFAULT',\n",
       " 'UFUNC_PYVALS_NAME',\n",
       " 'Uint64',\n",
       " 'VisibleDeprecationWarning',\n",
       " 'WRAP',\n",
       " '_NoValue',\n",
       " '_UFUNC_API',\n",
       " '__NUMPY_SETUP__',\n",
       " '__all__',\n",
       " '__builtins__',\n",
       " '__cached__',\n",
       " '__config__',\n",
       " '__deprecated_attrs__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__expired_functions__',\n",
       " '__file__',\n",
       " '__getattr__',\n",
       " '__git_version__',\n",
       " '__loader__',\n",
       " '__mkl_version__',\n",
       " '__name__',\n",
       " '__package__',\n",
       " '__path__',\n",
       " '__spec__',\n",
       " '__version__',\n",
       " '_add_newdoc_ufunc',\n",
       " '_distributor_init',\n",
       " '_financial_names',\n",
       " '_globals',\n",
       " '_mat',\n",
       " '_pytesttester',\n",
       " '_version',\n",
       " 'abs',\n",
       " 'absolute',\n",
       " 'add',\n",
       " 'add_docstring',\n",
       " 'add_newdoc',\n",
       " 'add_newdoc_ufunc',\n",
       " 'alen',\n",
       " 'all',\n",
       " 'allclose',\n",
       " 'alltrue',\n",
       " 'amax',\n",
       " 'amin',\n",
       " 'angle',\n",
       " 'any',\n",
       " 'append',\n",
       " 'apply_along_axis',\n",
       " 'apply_over_axes',\n",
       " 'arange',\n",
       " 'arccos',\n",
       " 'arccosh',\n",
       " 'arcsin',\n",
       " 'arcsinh',\n",
       " 'arctan',\n",
       " 'arctan2',\n",
       " 'arctanh',\n",
       " 'argmax',\n",
       " 'argmin',\n",
       " 'argpartition',\n",
       " 'argsort',\n",
       " 'argwhere',\n",
       " 'around',\n",
       " 'array',\n",
       " 'array2string',\n",
       " 'array_equal',\n",
       " 'array_equiv',\n",
       " 'array_repr',\n",
       " 'array_split',\n",
       " 'array_str',\n",
       " 'asanyarray',\n",
       " 'asarray',\n",
       " 'asarray_chkfinite',\n",
       " 'ascontiguousarray',\n",
       " 'asfarray',\n",
       " 'asfortranarray',\n",
       " 'asmatrix',\n",
       " 'asscalar',\n",
       " 'atleast_1d',\n",
       " 'atleast_2d',\n",
       " 'atleast_3d',\n",
       " 'average',\n",
       " 'bartlett',\n",
       " 'base_repr',\n",
       " 'binary_repr',\n",
       " 'bincount',\n",
       " 'bitwise_and',\n",
       " 'bitwise_not',\n",
       " 'bitwise_or',\n",
       " 'bitwise_xor',\n",
       " 'blackman',\n",
       " 'block',\n",
       " 'bmat',\n",
       " 'bool8',\n",
       " 'bool_',\n",
       " 'broadcast',\n",
       " 'broadcast_arrays',\n",
       " 'broadcast_shapes',\n",
       " 'broadcast_to',\n",
       " 'busday_count',\n",
       " 'busday_offset',\n",
       " 'busdaycalendar',\n",
       " 'byte',\n",
       " 'byte_bounds',\n",
       " 'bytes0',\n",
       " 'bytes_',\n",
       " 'c_',\n",
       " 'can_cast',\n",
       " 'cast',\n",
       " 'cbrt',\n",
       " 'cdouble',\n",
       " 'ceil',\n",
       " 'cfloat',\n",
       " 'char',\n",
       " 'character',\n",
       " 'chararray',\n",
       " 'choose',\n",
       " 'clip',\n",
       " 'clongdouble',\n",
       " 'clongfloat',\n",
       " 'column_stack',\n",
       " 'common_type',\n",
       " 'compare_chararrays',\n",
       " 'compat',\n",
       " 'complex128',\n",
       " 'complex256',\n",
       " 'complex64',\n",
       " 'complex_',\n",
       " 'complexfloating',\n",
       " 'compress',\n",
       " 'concatenate',\n",
       " 'conj',\n",
       " 'conjugate',\n",
       " 'convolve',\n",
       " 'copy',\n",
       " 'copysign',\n",
       " 'copyto',\n",
       " 'core',\n",
       " 'corrcoef',\n",
       " 'correlate',\n",
       " 'cos',\n",
       " 'cosh',\n",
       " 'count_nonzero',\n",
       " 'cov',\n",
       " 'cross',\n",
       " 'csingle',\n",
       " 'ctypeslib',\n",
       " 'cumprod',\n",
       " 'cumproduct',\n",
       " 'cumsum',\n",
       " 'datetime64',\n",
       " 'datetime_as_string',\n",
       " 'datetime_data',\n",
       " 'deg2rad',\n",
       " 'degrees',\n",
       " 'delete',\n",
       " 'deprecate',\n",
       " 'deprecate_with_doc',\n",
       " 'diag',\n",
       " 'diag_indices',\n",
       " 'diag_indices_from',\n",
       " 'diagflat',\n",
       " 'diagonal',\n",
       " 'diff',\n",
       " 'digitize',\n",
       " 'disp',\n",
       " 'divide',\n",
       " 'divmod',\n",
       " 'dot',\n",
       " 'double',\n",
       " 'dsplit',\n",
       " 'dstack',\n",
       " 'dtype',\n",
       " 'e',\n",
       " 'ediff1d',\n",
       " 'einsum',\n",
       " 'einsum_path',\n",
       " 'emath',\n",
       " 'empty',\n",
       " 'empty_like',\n",
       " 'equal',\n",
       " 'errstate',\n",
       " 'euler_gamma',\n",
       " 'exp',\n",
       " 'exp2',\n",
       " 'expand_dims',\n",
       " 'expm1',\n",
       " 'extract',\n",
       " 'eye',\n",
       " 'fabs',\n",
       " 'fastCopyAndTranspose',\n",
       " 'fft',\n",
       " 'fill_diagonal',\n",
       " 'find_common_type',\n",
       " 'finfo',\n",
       " 'fix',\n",
       " 'flatiter',\n",
       " 'flatnonzero',\n",
       " 'flexible',\n",
       " 'flip',\n",
       " 'fliplr',\n",
       " 'flipud',\n",
       " 'float128',\n",
       " 'float16',\n",
       " 'float32',\n",
       " 'float64',\n",
       " 'float_',\n",
       " 'float_power',\n",
       " 'floating',\n",
       " 'floor',\n",
       " 'floor_divide',\n",
       " 'fmax',\n",
       " 'fmin',\n",
       " 'fmod',\n",
       " 'format_float_positional',\n",
       " 'format_float_scientific',\n",
       " 'format_parser',\n",
       " 'frexp',\n",
       " 'frombuffer',\n",
       " 'fromfile',\n",
       " 'fromfunction',\n",
       " 'fromiter',\n",
       " 'frompyfunc',\n",
       " 'fromregex',\n",
       " 'fromstring',\n",
       " 'full',\n",
       " 'full_like',\n",
       " 'gcd',\n",
       " 'generic',\n",
       " 'genfromtxt',\n",
       " 'geomspace',\n",
       " 'get_array_wrap',\n",
       " 'get_include',\n",
       " 'get_printoptions',\n",
       " 'getbufsize',\n",
       " 'geterr',\n",
       " 'geterrcall',\n",
       " 'geterrobj',\n",
       " 'gradient',\n",
       " 'greater',\n",
       " 'greater_equal',\n",
       " 'half',\n",
       " 'hamming',\n",
       " 'hanning',\n",
       " 'heaviside',\n",
       " 'histogram',\n",
       " 'histogram2d',\n",
       " 'histogram_bin_edges',\n",
       " 'histogramdd',\n",
       " 'hsplit',\n",
       " 'hstack',\n",
       " 'hypot',\n",
       " 'i0',\n",
       " 'identity',\n",
       " 'iinfo',\n",
       " 'imag',\n",
       " 'in1d',\n",
       " 'index_exp',\n",
       " 'indices',\n",
       " 'inexact',\n",
       " 'inf',\n",
       " 'info',\n",
       " 'infty',\n",
       " 'inner',\n",
       " 'insert',\n",
       " 'int0',\n",
       " 'int16',\n",
       " 'int32',\n",
       " 'int64',\n",
       " 'int8',\n",
       " 'int_',\n",
       " 'intc',\n",
       " 'integer',\n",
       " 'interp',\n",
       " 'intersect1d',\n",
       " 'intp',\n",
       " 'invert',\n",
       " 'is_busday',\n",
       " 'isclose',\n",
       " 'iscomplex',\n",
       " 'iscomplexobj',\n",
       " 'isfinite',\n",
       " 'isfortran',\n",
       " 'isin',\n",
       " 'isinf',\n",
       " 'isnan',\n",
       " 'isnat',\n",
       " 'isneginf',\n",
       " 'isposinf',\n",
       " 'isreal',\n",
       " 'isrealobj',\n",
       " 'isscalar',\n",
       " 'issctype',\n",
       " 'issubclass_',\n",
       " 'issubdtype',\n",
       " 'issubsctype',\n",
       " 'iterable',\n",
       " 'ix_',\n",
       " 'kaiser',\n",
       " 'kernel_version',\n",
       " 'kron',\n",
       " 'lcm',\n",
       " 'ldexp',\n",
       " 'left_shift',\n",
       " 'less',\n",
       " 'less_equal',\n",
       " 'lexsort',\n",
       " 'lib',\n",
       " 'linalg',\n",
       " 'linspace',\n",
       " 'little_endian',\n",
       " 'load',\n",
       " 'loads',\n",
       " 'loadtxt',\n",
       " 'log',\n",
       " 'log10',\n",
       " 'log1p',\n",
       " 'log2',\n",
       " 'logaddexp',\n",
       " 'logaddexp2',\n",
       " 'logical_and',\n",
       " 'logical_not',\n",
       " 'logical_or',\n",
       " 'logical_xor',\n",
       " 'logspace',\n",
       " 'longcomplex',\n",
       " 'longdouble',\n",
       " 'longfloat',\n",
       " 'longlong',\n",
       " 'lookfor',\n",
       " 'ma',\n",
       " 'mafromtxt',\n",
       " 'mask_indices',\n",
       " 'mat',\n",
       " 'math',\n",
       " 'matmul',\n",
       " 'matrix',\n",
       " 'matrixlib',\n",
       " 'max',\n",
       " 'maximum',\n",
       " 'maximum_sctype',\n",
       " 'may_share_memory',\n",
       " 'mean',\n",
       " 'median',\n",
       " 'memmap',\n",
       " 'meshgrid',\n",
       " 'mgrid',\n",
       " 'min',\n",
       " 'min_scalar_type',\n",
       " 'minimum',\n",
       " 'mintypecode',\n",
       " 'mkl',\n",
       " 'mod',\n",
       " 'modf',\n",
       " 'moveaxis',\n",
       " 'msort',\n",
       " 'multiply',\n",
       " 'nan',\n",
       " 'nan_to_num',\n",
       " 'nanargmax',\n",
       " 'nanargmin',\n",
       " 'nancumprod',\n",
       " 'nancumsum',\n",
       " 'nanmax',\n",
       " 'nanmean',\n",
       " 'nanmedian',\n",
       " 'nanmin',\n",
       " 'nanpercentile',\n",
       " 'nanprod',\n",
       " 'nanquantile',\n",
       " 'nanstd',\n",
       " 'nansum',\n",
       " 'nanvar',\n",
       " 'nbytes',\n",
       " 'ndarray',\n",
       " 'ndenumerate',\n",
       " 'ndfromtxt',\n",
       " 'ndim',\n",
       " 'ndindex',\n",
       " 'nditer',\n",
       " 'negative',\n",
       " 'nested_iters',\n",
       " 'newaxis',\n",
       " 'nextafter',\n",
       " 'nonzero',\n",
       " 'not_equal',\n",
       " 'numarray',\n",
       " 'number',\n",
       " 'obj2sctype',\n",
       " 'object0',\n",
       " 'object_',\n",
       " 'ogrid',\n",
       " 'oldnumeric',\n",
       " 'ones',\n",
       " 'ones_like',\n",
       " 'os',\n",
       " 'outer',\n",
       " 'packbits',\n",
       " 'pad',\n",
       " 'partition',\n",
       " 'percentile',\n",
       " 'pi',\n",
       " 'piecewise',\n",
       " 'place',\n",
       " 'poly',\n",
       " 'poly1d',\n",
       " 'polyadd',\n",
       " 'polyder',\n",
       " 'polydiv',\n",
       " 'polyfit',\n",
       " 'polyint',\n",
       " 'polymul',\n",
       " 'polynomial',\n",
       " 'polysub',\n",
       " 'polyval',\n",
       " 'positive',\n",
       " 'power',\n",
       " 'printoptions',\n",
       " 'prod',\n",
       " 'product',\n",
       " 'promote_types',\n",
       " 'ptp',\n",
       " 'put',\n",
       " 'put_along_axis',\n",
       " 'putmask',\n",
       " 'quantile',\n",
       " 'r_',\n",
       " 'rad2deg',\n",
       " 'radians',\n",
       " 'random',\n",
       " 'ravel',\n",
       " 'ravel_multi_index',\n",
       " 'real',\n",
       " 'real_if_close',\n",
       " 'rec',\n",
       " 'recarray',\n",
       " 'recfromcsv',\n",
       " 'recfromtxt',\n",
       " 'reciprocal',\n",
       " 'record',\n",
       " 'remainder',\n",
       " 'repeat',\n",
       " 'require',\n",
       " 'reshape',\n",
       " 'resize',\n",
       " 'result_type',\n",
       " 'right_shift',\n",
       " 'rint',\n",
       " 'roll',\n",
       " 'rollaxis',\n",
       " 'roots',\n",
       " 'rot90',\n",
       " 'round',\n",
       " 'round_',\n",
       " 'row_stack',\n",
       " 's_',\n",
       " 'safe_eval',\n",
       " 'save',\n",
       " 'savetxt',\n",
       " 'savez',\n",
       " 'savez_compressed',\n",
       " 'sctype2char',\n",
       " 'sctypeDict',\n",
       " 'sctypes',\n",
       " 'searchsorted',\n",
       " 'select',\n",
       " 'set_numeric_ops',\n",
       " 'set_printoptions',\n",
       " 'set_string_function',\n",
       " 'setbufsize',\n",
       " 'setdiff1d',\n",
       " 'seterr',\n",
       " 'seterrcall',\n",
       " 'seterrobj',\n",
       " 'setxor1d',\n",
       " 'shape',\n",
       " 'shares_memory',\n",
       " 'short',\n",
       " 'show_config',\n",
       " 'sign',\n",
       " 'signbit',\n",
       " 'signedinteger',\n",
       " 'sin',\n",
       " 'sinc',\n",
       " 'single',\n",
       " 'singlecomplex',\n",
       " 'sinh',\n",
       " 'size',\n",
       " 'sometrue',\n",
       " 'sort',\n",
       " 'sort_complex',\n",
       " 'source',\n",
       " 'spacing',\n",
       " 'split',\n",
       " 'sqrt',\n",
       " 'square',\n",
       " 'squeeze',\n",
       " 'stack',\n",
       " 'std',\n",
       " 'str0',\n",
       " 'str_',\n",
       " 'string_',\n",
       " 'subtract',\n",
       " 'sum',\n",
       " 'swapaxes',\n",
       " 'sys',\n",
       " 'take',\n",
       " 'take_along_axis',\n",
       " 'tan',\n",
       " 'tanh',\n",
       " 'tensordot',\n",
       " 'test',\n",
       " 'testing',\n",
       " 'tile',\n",
       " 'timedelta64',\n",
       " 'trace',\n",
       " 'tracemalloc_domain',\n",
       " 'transpose',\n",
       " 'trapz',\n",
       " 'tri',\n",
       " 'tril',\n",
       " 'tril_indices',\n",
       " 'tril_indices_from',\n",
       " 'trim_zeros',\n",
       " 'triu',\n",
       " 'triu_indices',\n",
       " 'triu_indices_from',\n",
       " 'true_divide',\n",
       " 'trunc',\n",
       " 'typecodes',\n",
       " 'typename',\n",
       " 'ubyte',\n",
       " 'ufunc',\n",
       " 'uint',\n",
       " 'uint0',\n",
       " 'uint16',\n",
       " 'uint32',\n",
       " 'uint64',\n",
       " 'uint8',\n",
       " 'uintc',\n",
       " 'uintp',\n",
       " 'ulonglong',\n",
       " 'unicode_',\n",
       " 'union1d',\n",
       " 'unique',\n",
       " 'unpackbits',\n",
       " 'unravel_index',\n",
       " 'unsignedinteger',\n",
       " 'unwrap',\n",
       " 'use_hugepage',\n",
       " 'ushort',\n",
       " 'vander',\n",
       " 'var',\n",
       " 'vdot',\n",
       " 'vectorize',\n",
       " 'version',\n",
       " 'void',\n",
       " 'void0',\n",
       " 'vsplit',\n",
       " 'vstack',\n",
       " 'warnings',\n",
       " 'where',\n",
       " 'who',\n",
       " 'zeros',\n",
       " 'zeros_like']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(np)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "y=np.sin(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.        ,  0.10083842,  0.20064886,  0.2984138 ,  0.39313661,\n",
       "        0.48385164,  0.56963411,  0.64960951,  0.72296256,  0.78894546,\n",
       "        0.84688556,  0.8961922 ,  0.93636273,  0.96698762,  0.98775469,\n",
       "        0.99845223,  0.99897117,  0.98930624,  0.96955595,  0.93992165,\n",
       "        0.90070545,  0.85230712,  0.79522006,  0.73002623,  0.65739025,\n",
       "        0.57805259,  0.49282204,  0.40256749,  0.30820902,  0.21070855,\n",
       "        0.11106004,  0.01027934, -0.09060615, -0.19056796, -0.28858706,\n",
       "       -0.38366419, -0.47483011, -0.56115544, -0.64176014, -0.7158225 ,\n",
       "       -0.7825875 , -0.84137452, -0.89158426, -0.93270486, -0.96431712,\n",
       "       -0.98609877, -0.99782778, -0.99938456, -0.99075324, -0.97202182,\n",
       "       -0.94338126, -0.90512352, -0.85763861, -0.80141062, -0.73701276,\n",
       "       -0.66510151, -0.58640998, -0.50174037, -0.41195583, -0.31797166,\n",
       "       -0.22074597, -0.12126992, -0.0205576 ,  0.0803643 ,  0.18046693,\n",
       "        0.27872982,  0.37415123,  0.46575841,  0.55261747,  0.63384295,\n",
       "        0.7086068 ,  0.77614685,  0.83577457,  0.8868821 ,  0.92894843,\n",
       "        0.96154471,  0.98433866,  0.99709789,  0.99969234,  0.99209556,\n",
       "        0.97438499,  0.94674118,  0.90944594,  0.86287948,  0.8075165 ,\n",
       "        0.74392141,  0.6727425 ,  0.59470541,  0.51060568,  0.42130064,\n",
       "        0.32770071,  0.23076008,  0.13146699,  0.03083368, -0.07011396,\n",
       "       -0.17034683, -0.26884313, -0.36459873, -0.45663749, -0.54402111])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fd81ad54730>]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x,y,\"g.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function plot in module matplotlib.pyplot:\n",
      "\n",
      "plot(*args, scalex=True, scaley=True, data=None, **kwargs)\n",
      "    Plot y versus x as lines and/or markers.\n",
      "    \n",
      "    Call signatures::\n",
      "    \n",
      "        plot([x], y, [fmt], *, data=None, **kwargs)\n",
      "        plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)\n",
      "    \n",
      "    The coordinates of the points or line nodes are given by *x*, *y*.\n",
      "    \n",
      "    The optional parameter *fmt* is a convenient way for defining basic\n",
      "    formatting like color, marker and linestyle. It's a shortcut string\n",
      "    notation described in the *Notes* section below.\n",
      "    \n",
      "    >>> plot(x, y)        # plot x and y using default line style and color\n",
      "    >>> plot(x, y, 'bo')  # plot x and y using blue circle markers\n",
      "    >>> plot(y)           # plot y using x as index array 0..N-1\n",
      "    >>> plot(y, 'r+')     # ditto, but with red plusses\n",
      "    \n",
      "    You can use `.Line2D` properties as keyword arguments for more\n",
      "    control on the appearance. Line properties and *fmt* can be mixed.\n",
      "    The following two calls yield identical results:\n",
      "    \n",
      "    >>> plot(x, y, 'go--', linewidth=2, markersize=12)\n",
      "    >>> plot(x, y, color='green', marker='o', linestyle='dashed',\n",
      "    ...      linewidth=2, markersize=12)\n",
      "    \n",
      "    When conflicting with *fmt*, keyword arguments take precedence.\n",
      "    \n",
      "    \n",
      "    **Plotting labelled data**\n",
      "    \n",
      "    There's a convenient way for plotting objects with labelled data (i.e.\n",
      "    data that can be accessed by index ``obj['y']``). Instead of giving\n",
      "    the data in *x* and *y*, you can provide the object in the *data*\n",
      "    parameter and just give the labels for *x* and *y*::\n",
      "    \n",
      "    >>> plot('xlabel', 'ylabel', data=obj)\n",
      "    \n",
      "    All indexable objects are supported. This could e.g. be a `dict`, a\n",
      "    `pandas.DataFrame` or a structured numpy array.\n",
      "    \n",
      "    \n",
      "    **Plotting multiple sets of data**\n",
      "    \n",
      "    There are various ways to plot multiple sets of data.\n",
      "    \n",
      "    - The most straight forward way is just to call `plot` multiple times.\n",
      "      Example:\n",
      "    \n",
      "      >>> plot(x1, y1, 'bo')\n",
      "      >>> plot(x2, y2, 'go')\n",
      "    \n",
      "    - If *x* and/or *y* are 2D arrays a separate data set will be drawn\n",
      "      for every column. If both *x* and *y* are 2D, they must have the\n",
      "      same shape. If only one of them is 2D with shape (N, m) the other\n",
      "      must have length N and will be used for every data set m.\n",
      "    \n",
      "      Example:\n",
      "    \n",
      "      >>> x = [1, 2, 3]\n",
      "      >>> y = np.array([[1, 2], [3, 4], [5, 6]])\n",
      "      >>> plot(x, y)\n",
      "    \n",
      "      is equivalent to:\n",
      "    \n",
      "      >>> for col in range(y.shape[1]):\n",
      "      ...     plot(x, y[:, col])\n",
      "    \n",
      "    - The third way is to specify multiple sets of *[x]*, *y*, *[fmt]*\n",
      "      groups::\n",
      "    \n",
      "      >>> plot(x1, y1, 'g^', x2, y2, 'g-')\n",
      "    \n",
      "      In this case, any additional keyword argument applies to all\n",
      "      datasets. Also this syntax cannot be combined with the *data*\n",
      "      parameter.\n",
      "    \n",
      "    By default, each line is assigned a different style specified by a\n",
      "    'style cycle'. The *fmt* and line property parameters are only\n",
      "    necessary if you want explicit deviations from these defaults.\n",
      "    Alternatively, you can also change the style cycle using\n",
      "    :rc:`axes.prop_cycle`.\n",
      "    \n",
      "    \n",
      "    Parameters\n",
      "    ----------\n",
      "    x, y : array-like or scalar\n",
      "        The horizontal / vertical coordinates of the data points.\n",
      "        *x* values are optional and default to ``range(len(y))``.\n",
      "    \n",
      "        Commonly, these parameters are 1D arrays.\n",
      "    \n",
      "        They can also be scalars, or two-dimensional (in that case, the\n",
      "        columns represent separate data sets).\n",
      "    \n",
      "        These arguments cannot be passed as keywords.\n",
      "    \n",
      "    fmt : str, optional\n",
      "        A format string, e.g. 'ro' for red circles. See the *Notes*\n",
      "        section for a full description of the format strings.\n",
      "    \n",
      "        Format strings are just an abbreviation for quickly setting\n",
      "        basic line properties. All of these and more can also be\n",
      "        controlled by keyword arguments.\n",
      "    \n",
      "        This argument cannot be passed as keyword.\n",
      "    \n",
      "    data : indexable object, optional\n",
      "        An object with labelled data. If given, provide the label names to\n",
      "        plot in *x* and *y*.\n",
      "    \n",
      "        .. note::\n",
      "            Technically there's a slight ambiguity in calls where the\n",
      "            second label is a valid *fmt*. ``plot('n', 'o', data=obj)``\n",
      "            could be ``plt(x, y)`` or ``plt(y, fmt)``. In such cases,\n",
      "            the former interpretation is chosen, but a warning is issued.\n",
      "            You may suppress the warning by adding an empty format string\n",
      "            ``plot('n', 'o', '', data=obj)``.\n",
      "    \n",
      "    Returns\n",
      "    -------\n",
      "    list of `.Line2D`\n",
      "        A list of lines representing the plotted data.\n",
      "    \n",
      "    Other Parameters\n",
      "    ----------------\n",
      "    scalex, scaley : bool, default: True\n",
      "        These parameters determine if the view limits are adapted to the\n",
      "        data limits. The values are passed on to `autoscale_view`.\n",
      "    \n",
      "    **kwargs : `.Line2D` properties, optional\n",
      "        *kwargs* are used to specify properties like a line label (for\n",
      "        auto legends), linewidth, antialiasing, marker face color.\n",
      "        Example::\n",
      "    \n",
      "        >>> plot([1, 2, 3], [1, 2, 3], 'go-', label='line 1', linewidth=2)\n",
      "        >>> plot([1, 2, 3], [1, 4, 9], 'rs', label='line 2')\n",
      "    \n",
      "        If you specify multiple lines with one plot call, the kwargs apply\n",
      "        to all those lines. In case the label object is iterable, each\n",
      "        element is used as labels for each set of data.\n",
      "    \n",
      "        Here is a list of available `.Line2D` properties:\n",
      "    \n",
      "        Properties:\n",
      "        agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array\n",
      "        alpha: scalar or None\n",
      "        animated: bool\n",
      "        antialiased or aa: bool\n",
      "        clip_box: `.Bbox`\n",
      "        clip_on: bool\n",
      "        clip_path: Patch or (Path, Transform) or None\n",
      "        color or c: color\n",
      "        dash_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}\n",
      "        dash_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}\n",
      "        dashes: sequence of floats (on/off ink in points) or (None, None)\n",
      "        data: (2, N) array or two 1D arrays\n",
      "        drawstyle or ds: {'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'\n",
      "        figure: `.Figure`\n",
      "        fillstyle: {'full', 'left', 'right', 'bottom', 'top', 'none'}\n",
      "        gid: str\n",
      "        in_layout: bool\n",
      "        label: object\n",
      "        linestyle or ls: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}\n",
      "        linewidth or lw: float\n",
      "        marker: marker style string, `~.path.Path` or `~.markers.MarkerStyle`\n",
      "        markeredgecolor or mec: color\n",
      "        markeredgewidth or mew: float\n",
      "        markerfacecolor or mfc: color\n",
      "        markerfacecoloralt or mfcalt: color\n",
      "        markersize or ms: float\n",
      "        markevery: None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]\n",
      "        path_effects: `.AbstractPathEffect`\n",
      "        picker: float or callable[[Artist, Event], tuple[bool, dict]]\n",
      "        pickradius: float\n",
      "        rasterized: bool\n",
      "        sketch_params: (scale: float, length: float, randomness: float)\n",
      "        snap: bool or None\n",
      "        solid_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}\n",
      "        solid_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}\n",
      "        transform: unknown\n",
      "        url: str\n",
      "        visible: bool\n",
      "        xdata: 1D array\n",
      "        ydata: 1D array\n",
      "        zorder: float\n",
      "    \n",
      "    See Also\n",
      "    --------\n",
      "    scatter : XY scatter plot with markers of varying size and/or color (\n",
      "        sometimes also called bubble chart).\n",
      "    \n",
      "    Notes\n",
      "    -----\n",
      "    **Format Strings**\n",
      "    \n",
      "    A format string consists of a part for color, marker and line::\n",
      "    \n",
      "        fmt = '[marker][line][color]'\n",
      "    \n",
      "    Each of them is optional. If not provided, the value from the style\n",
      "    cycle is used. Exception: If ``line`` is given, but no ``marker``,\n",
      "    the data will be a line without markers.\n",
      "    \n",
      "    Other combinations such as ``[color][marker][line]`` are also\n",
      "    supported, but note that their parsing may be ambiguous.\n",
      "    \n",
      "    **Markers**\n",
      "    \n",
      "    =============   ===============================\n",
      "    character       description\n",
      "    =============   ===============================\n",
      "    ``'.'``         point marker\n",
      "    ``','``         pixel marker\n",
      "    ``'o'``         circle marker\n",
      "    ``'v'``         triangle_down marker\n",
      "    ``'^'``         triangle_up marker\n",
      "    ``'<'``         triangle_left marker\n",
      "    ``'>'``         triangle_right marker\n",
      "    ``'1'``         tri_down marker\n",
      "    ``'2'``         tri_up marker\n",
      "    ``'3'``         tri_left marker\n",
      "    ``'4'``         tri_right marker\n",
      "    ``'8'``         octagon marker\n",
      "    ``'s'``         square marker\n",
      "    ``'p'``         pentagon marker\n",
      "    ``'P'``         plus (filled) marker\n",
      "    ``'*'``         star marker\n",
      "    ``'h'``         hexagon1 marker\n",
      "    ``'H'``         hexagon2 marker\n",
      "    ``'+'``         plus marker\n",
      "    ``'x'``         x marker\n",
      "    ``'X'``         x (filled) marker\n",
      "    ``'D'``         diamond marker\n",
      "    ``'d'``         thin_diamond marker\n",
      "    ``'|'``         vline marker\n",
      "    ``'_'``         hline marker\n",
      "    =============   ===============================\n",
      "    \n",
      "    **Line Styles**\n",
      "    \n",
      "    =============    ===============================\n",
      "    character        description\n",
      "    =============    ===============================\n",
      "    ``'-'``          solid line style\n",
      "    ``'--'``         dashed line style\n",
      "    ``'-.'``         dash-dot line style\n",
      "    ``':'``          dotted line style\n",
      "    =============    ===============================\n",
      "    \n",
      "    Example format strings::\n",
      "    \n",
      "        'b'    # blue markers with default shape\n",
      "        'or'   # red circles\n",
      "        '-g'   # green solid line\n",
      "        '--'   # dashed line with default color\n",
      "        '^k:'  # black triangle_up markers connected by a dotted line\n",
      "    \n",
      "    **Colors**\n",
      "    \n",
      "    The supported color abbreviations are the single letter codes\n",
      "    \n",
      "    =============    ===============================\n",
      "    character        color\n",
      "    =============    ===============================\n",
      "    ``'b'``          blue\n",
      "    ``'g'``          green\n",
      "    ``'r'``          red\n",
      "    ``'c'``          cyan\n",
      "    ``'m'``          magenta\n",
      "    ``'y'``          yellow\n",
      "    ``'k'``          black\n",
      "    ``'w'``          white\n",
      "    =============    ===============================\n",
      "    \n",
      "    and the ``'CN'`` colors that index into the default property cycle.\n",
      "    \n",
      "    If the color is the only part of the format string, you can\n",
      "    additionally use any  `matplotlib.colors` spec, e.g. full names\n",
      "    (``'green'``) or hex strings (``'#008000'``).\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(plt.plot)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=3\n",
    "b=7\n",
    "a+b\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'brasilbrasilbrasilbrasil'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s=\"brasil\"\n",
    "4*s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'brasil acima de tudo'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s+\" acima de tudo\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Observe a tecla \"ENTER\"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "50"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k='Observe a tecla \"ENTER\"'\n",
    "print(k)\n",
    "\n",
    "s='45'\n",
    "int(s)+5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "nome1,nome2=\"João\",\"Maria\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'João'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nome1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "nome1,nome2=nome2,nome1 #troca"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Maria'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nome1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(nome1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "int"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "f=0.6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "float"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "f=10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "int"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Notação húngara"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### fltNumero, intNumero, strNome, cCode"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Listas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample = [1, [\"another\", \"list\"], (\"a\", \"tuple\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('a', 'tuple')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('a', 'tuple')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['another', 'list']"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample[-2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__add__',\n",
       " '__class__',\n",
       " '__class_getitem__',\n",
       " '__contains__',\n",
       " '__delattr__',\n",
       " '__delitem__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__getitem__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__iadd__',\n",
       " '__imul__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__iter__',\n",
       " '__le__',\n",
       " '__len__',\n",
       " '__lt__',\n",
       " '__mul__',\n",
       " '__ne__',\n",
       " '__new__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__reversed__',\n",
       " '__rmul__',\n",
       " '__setattr__',\n",
       " '__setitem__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__subclasshook__',\n",
       " 'append',\n",
       " 'clear',\n",
       " 'copy',\n",
       " 'count',\n",
       " 'extend',\n",
       " 'index',\n",
       " 'insert',\n",
       " 'pop',\n",
       " 'remove',\n",
       " 'reverse',\n",
       " 'sort']"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(sample)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on built-in function extend:\n",
      "\n",
      "extend(iterable, /) method of builtins.list instance\n",
      "    Extend list by appending elements from the iterable.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(sample.extend)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, ['another', 'list'], ('a', 'tuple')]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample.append(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, ['another', 'list'], ('a', 'tuple'), 1]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample.count(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample.pop()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, ['another', 'list'], ('a', 'tuple')]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "auxiliar=sample  #atenção"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "auxiliar.insert(2,\"Hello\") # insere na caixa onde auxiliar aponta no indice 2 o valor \"Hello\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, ['another', 'list'], 'Hello', ('a', 'tuple')]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "auxiliar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, ['another', 'list'], 'Hello', ('a', 'tuple')]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "auxiliar=sample.copy() #cria um novo objeto com os valores do objeto (lista) sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('a', 'tuple')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "auxiliar.pop()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, ['another', 'list'], 'Hello']"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "auxiliar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, ['another', 'list'], 'Hello', ('a', 'tuple')]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1,\n",
       " ['another', 'list'],\n",
       " 'Hello',\n",
       " ('a', 'tuple'),\n",
       " 1,\n",
       " ['another', 'list'],\n",
       " 'Hello',\n",
       " ('a', 'tuple')]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2*sample"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dicionário\n",
    "Composto por chaves e valor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "produto={\"sapato\": 90.50,\"banana\":5.00, \"camisa\": 95}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sapato': 90.5, 'banana': 5.0, 'camisa': 95}"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "produto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "90.5"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "produto[\"sapato\"]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['sapato', 'banana', 'camisa'])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "produto.keys() #mostra as chaves'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values([90.5, 5.0, 95])"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "produto.values()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### E se eu quisesse ver os valores dos produtos em ordem alfabética?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "lstdic=list(produto.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['sapato', 'banana', 'camisa']"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lstdic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "lstdic.sort() #ordenando a lista com o método sort"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['banana', 'camisa', 'sapato']"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lstdic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('banana', 5.0), ('camisa', 95), ('sapato', 90.5)]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[(NomeChave,produto[NomeChave]) for NomeChave in lstdic] #list comprehension"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "tupla=(0,\"plastico\", [\"minha\", \"lista\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 'plastico', ['minha', 'lista'])"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tupla"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'tuple' object has no attribute 'pop'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Input \u001b[0;32mIn [65]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mtupla\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpop\u001b[49m()\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'tuple' object has no attribute 'pop'"
     ]
    }
   ],
   "source": [
    "tupla.pop()   # dara erro, tupla não pode ser modificada"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lsttup=list(tupla)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Trabalhando com conjuntos (set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "S=set([0,'banana', 2, 'abacate'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "set"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(S)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0, 2, 'abacate', 'banana'}"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "S"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "A=set([0,4,\"banana\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0, 2, 4, 'abacate', 'banana'}"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.union(S) #união"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0, 2, 4, 'abacate', 'banana'}"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A|S"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0, 'banana'}"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A&S"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__and__',\n",
       " '__class__',\n",
       " '__class_getitem__',\n",
       " '__contains__',\n",
       " '__delattr__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__iand__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__ior__',\n",
       " '__isub__',\n",
       " '__iter__',\n",
       " '__ixor__',\n",
       " '__le__',\n",
       " '__len__',\n",
       " '__lt__',\n",
       " '__ne__',\n",
       " '__new__',\n",
       " '__or__',\n",
       " '__rand__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__ror__',\n",
       " '__rsub__',\n",
       " '__rxor__',\n",
       " '__setattr__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__sub__',\n",
       " '__subclasshook__',\n",
       " '__xor__',\n",
       " 'add',\n",
       " 'clear',\n",
       " 'copy',\n",
       " 'difference',\n",
       " 'difference_update',\n",
       " 'discard',\n",
       " 'intersection',\n",
       " 'intersection_update',\n",
       " 'isdisjoint',\n",
       " 'issubset',\n",
       " 'issuperset',\n",
       " 'pop',\n",
       " 'remove',\n",
       " 'symmetric_difference',\n",
       " 'symmetric_difference_update',\n",
       " 'union',\n",
       " 'update']"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(A)  #saber quais os métodos disponíveis, não sei o que fazem, mas pelo nome dá para ter uma ideia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on built-in function symmetric_difference:\n",
      "\n",
      "symmetric_difference(...) method of builtins.set instance\n",
      "    Return the symmetric difference of two sets as a new set.\n",
      "    \n",
      "    (i.e. all elements that are in exactly one of the sets.)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(A.symmetric_difference)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0, 'banana'}"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.intersection(S) #intersecção"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "tpset=tuple(S)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 2, 'banana', 'abacate')"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "A=list(A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 'banana', 4]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/ojacques/Dropbox/AULAS ON LINE/IA/NumericPython'"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "from PIL import Image, ImageDraw"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Para baixar no python se não tiver\n",
    "#### pip install pillow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ADAPTIVE',\n",
       " 'AFFINE',\n",
       " 'ANTIALIAS',\n",
       " 'BICUBIC',\n",
       " 'BILINEAR',\n",
       " 'BOX',\n",
       " 'CUBIC',\n",
       " 'Callable',\n",
       " 'DECODERS',\n",
       " 'DEFAULT_STRATEGY',\n",
       " 'DecompressionBombError',\n",
       " 'DecompressionBombWarning',\n",
       " 'ENCODERS',\n",
       " 'EXTENSION',\n",
       " 'EXTENT',\n",
       " 'ElementTree',\n",
       " 'Exif',\n",
       " 'FASTOCTREE',\n",
       " 'FILTERED',\n",
       " 'FIXED',\n",
       " 'FLIP_LEFT_RIGHT',\n",
       " 'FLIP_TOP_BOTTOM',\n",
       " 'FLOYDSTEINBERG',\n",
       " 'HAMMING',\n",
       " 'HUFFMAN_ONLY',\n",
       " 'ID',\n",
       " 'Image',\n",
       " 'ImageMode',\n",
       " 'ImagePointHandler',\n",
       " 'ImageTransformHandler',\n",
       " 'LANCZOS',\n",
       " 'LIBIMAGEQUANT',\n",
       " 'LINEAR',\n",
       " 'MAXCOVERAGE',\n",
       " 'MAX_IMAGE_PIXELS',\n",
       " 'MEDIANCUT',\n",
       " 'MESH',\n",
       " 'MIME',\n",
       " 'MODES',\n",
       " 'MutableMapping',\n",
       " 'NEAREST',\n",
       " 'NONE',\n",
       " 'OPEN',\n",
       " 'ORDERED',\n",
       " 'PERSPECTIVE',\n",
       " 'Path',\n",
       " 'QUAD',\n",
       " 'RASTERIZE',\n",
       " 'RLE',\n",
       " 'ROTATE_180',\n",
       " 'ROTATE_270',\n",
       " 'ROTATE_90',\n",
       " 'SAVE',\n",
       " 'SAVE_ALL',\n",
       " 'TRANSPOSE',\n",
       " 'TRANSVERSE',\n",
       " 'TiffTags',\n",
       " 'USE_CFFI_ACCESS',\n",
       " 'UnidentifiedImageError',\n",
       " 'WEB',\n",
       " '_E',\n",
       " '_ENDIAN',\n",
       " '_MAPMODES',\n",
       " '_MODE_CONV',\n",
       " '__builtins__',\n",
       " '__cached__',\n",
       " '__doc__',\n",
       " '__file__',\n",
       " '__getattr__',\n",
       " '__loader__',\n",
       " '__name__',\n",
       " '__package__',\n",
       " '__spec__',\n",
       " '__version__',\n",
       " '_apply_env_variables',\n",
       " '_check_size',\n",
       " '_conv_type_shape',\n",
       " '_decompression_bomb_check',\n",
       " '_filters_support',\n",
       " '_fromarray_typemap',\n",
       " '_getdecoder',\n",
       " '_getencoder',\n",
       " '_getscaleoffset',\n",
       " '_initialized',\n",
       " '_plugins',\n",
       " '_show',\n",
       " '_wedge',\n",
       " 'alpha_composite',\n",
       " 'atexit',\n",
       " 'blend',\n",
       " 'builtins',\n",
       " 'cffi',\n",
       " 'coerce_e',\n",
       " 'composite',\n",
       " 'core',\n",
       " 'deferred_error',\n",
       " 'effect_mandelbrot',\n",
       " 'effect_noise',\n",
       " 'eval',\n",
       " 'fromarray',\n",
       " 'frombuffer',\n",
       " 'frombytes',\n",
       " 'fromqimage',\n",
       " 'fromqpixmap',\n",
       " 'getmodebandnames',\n",
       " 'getmodebands',\n",
       " 'getmodebase',\n",
       " 'getmodetype',\n",
       " 'i32le',\n",
       " 'init',\n",
       " 'io',\n",
       " 'isImageType',\n",
       " 'isPath',\n",
       " 'linear_gradient',\n",
       " 'logger',\n",
       " 'logging',\n",
       " 'math',\n",
       " 'merge',\n",
       " 'new',\n",
       " 'numbers',\n",
       " 'open',\n",
       " 'os',\n",
       " 'preinit',\n",
       " 'radial_gradient',\n",
       " 're',\n",
       " 'register_decoder',\n",
       " 'register_encoder',\n",
       " 'register_extension',\n",
       " 'register_extensions',\n",
       " 'register_mime',\n",
       " 'register_open',\n",
       " 'register_save',\n",
       " 'register_save_all',\n",
       " 'registered_extensions',\n",
       " 'struct',\n",
       " 'sys',\n",
       " 'tempfile',\n",
       " 'warnings']"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(Image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=512x512 at 0x7FD81A98A8B0>"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image.open('lenna512x512.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Trabalhando com slices (pedaços) de lista"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### lista[inicial:final:passo] mostra os elementos\n",
    "#### desde o indice inicial ate o final-1 com determinado\n",
    "#### passo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "lista=list(range(0,11))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lista"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[3, 5, 7]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lista[3:8:2] #do indice 3 até 7 (8-1) de 2 em 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[3, 6]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lista[3:8:3] #do indice 3 até 7 (8-1) de 3 em 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 1, 2, 3, 4, 5, 6]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lista[:7]#não inclui o índice 7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[2, 3, 4, 5, 6, 7, 8, 9, 10]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lista[2:] #de 2 até o final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[2, 5, 8]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lista[2::3] #de 2 ate o final com passo 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0]"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lista[::-1] #imprimir reverso"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listateste=lista.copy()\n",
    "listateste.reverse()\n",
    "listateste"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[8, 7, 6, 5, 4, 3, 2, 1, 0]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lista[-3::-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[8, 7, 6, 5, 4, 3, 2, 1, 0]"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lista[-3:-12:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lista"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[8, 7, 6, 5, 4, 3, 2, 1, 0]"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lista[8::-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(lista) #tamanho da lista"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__add__',\n",
       " '__class__',\n",
       " '__class_getitem__',\n",
       " '__contains__',\n",
       " '__delattr__',\n",
       " '__delitem__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__getitem__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__iadd__',\n",
       " '__imul__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__iter__',\n",
       " '__le__',\n",
       " '__len__',\n",
       " '__lt__',\n",
       " '__mul__',\n",
       " '__ne__',\n",
       " '__new__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__reversed__',\n",
       " '__rmul__',\n",
       " '__setattr__',\n",
       " '__setitem__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__subclasshook__',\n",
       " 'append',\n",
       " 'clear',\n",
       " 'copy',\n",
       " 'count',\n",
       " 'extend',\n",
       " 'index',\n",
       " 'insert',\n",
       " 'pop',\n",
       " 'remove',\n",
       " 'reverse',\n",
       " 'sort']"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(lista)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "lista.reverse() #modifica a lista tornando reversa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lista"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "notSortList = [40,30,22, 67, 82, 100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[40, 30, 22, 67, 82, 100]"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "notSortList"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "notSortList.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[22, 30, 40, 67, 82, 100]"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "notSortList"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "notSortList.reverse()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[100, 82, 67, 40, 30, 22]"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "notSortList"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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