1.2. Types in Python.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#Типы данных в Python"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##1. Числовые"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###int"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n"
     ]
    }
   ],
   "source": [
    "print x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<type 'int'>\n"
     ]
    }
   ],
   "source": [
    "print type(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9 20 1\n"
     ]
    }
   ],
   "source": [
    "a = 4 + 5\n",
    "b = 4 * 5\n",
    "c = 5 / 4\n",
    "\n",
    "print a, b, c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-2\n"
     ]
    }
   ],
   "source": [
    "print -5 / 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-1\n"
     ]
    }
   ],
   "source": [
    "print -(5 / 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###long"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5000000000000000000000001\n",
      "<type 'long'>\n"
     ]
    }
   ],
   "source": [
    "x = 5 * 1000000 * 1000000 * 1000000 * 1000000 + 1\n",
    "print x\n",
    "print type(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<type 'int'>\n",
      "<type 'long'>\n"
     ]
    }
   ],
   "source": [
    "y = 5\n",
    "print type(y)\n",
    "y = x\n",
    "print type(y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###float"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y = 5.7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.7\n",
      "<type 'float'>\n"
     ]
    }
   ],
   "source": [
    "print y\n",
    "print type(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9.3 21.42 1.25\n"
     ]
    }
   ],
   "source": [
    "a = 4.2 + 5.1\n",
    "b = 4.2 * 5.1\n",
    "c = 5.0 / 4.0\n",
    "\n",
    "print a, b, c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.25\n"
     ]
    }
   ],
   "source": [
    "a = 5\n",
    "b = 4\n",
    "print float(a) / float(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.25\n",
      "1.25\n"
     ]
    }
   ],
   "source": [
    "print 5.0 / 4\n",
    "print 5 / 4.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.25\n"
     ]
    }
   ],
   "source": [
    "print float(a) / b"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###bool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "<type 'bool'>\n",
      "False\n",
      "<type 'bool'>\n"
     ]
    }
   ],
   "source": [
    "a = True\n",
    "b = False\n",
    "\n",
    "print a\n",
    "print type(a)\n",
    "\n",
    "print b\n",
    "print type(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n",
      "0\n"
     ]
    }
   ],
   "source": [
    "print a + b\n",
    "print a + a\n",
    "print b + b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 0\n"
     ]
    }
   ],
   "source": [
    "print int(a), int(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n",
      "True\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "print True and False\n",
    "print True and True\n",
    "print False and False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "print True or False\n",
    "print True or True\n",
    "print False or False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##2. None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n",
      "<type 'NoneType'>\n"
     ]
    }
   ],
   "source": [
    "z = None\n",
    "print z\n",
    "print type(z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "int() argument must be a string or a number, not 'NoneType'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-21-faf6fd86913f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mz\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: int() argument must be a string or a number, not 'NoneType'"
     ]
    }
   ],
   "source": [
    "print int(z)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##3. Строковые"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###str"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "abc\n",
      "<type 'str'>\n"
     ]
    }
   ],
   "source": [
    "x = \"abc\"\n",
    "print x\n",
    "print type(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ivan Ivanov\n"
     ]
    }
   ],
   "source": [
    "a = 'Ivan'\n",
    "b = \"Ivanov\"\n",
    "s = a + \" \" + b\n",
    "print s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IVAN\n",
      "ivan\n"
     ]
    }
   ],
   "source": [
    "print a.upper()\n",
    "print a.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n"
     ]
    }
   ],
   "source": [
    "print len(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "print bool(a)\n",
    "print bool(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "invalid literal for int() with base 10: 'Ivan'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-27-5f424ac5bb38>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m: invalid literal for int() with base 10: 'Ivan'"
     ]
    }
   ],
   "source": [
    "print int(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ivan\n",
      "I\n",
      "v\n",
      "Iva\n"
     ]
    }
   ],
   "source": [
    "print a\n",
    "print a[0]\n",
    "print a[1]\n",
    "print a[0:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ia\n"
     ]
    }
   ],
   "source": [
    "print a[0:4:2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###unicode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "abc\n",
      "<type 'unicode'>\n"
     ]
    }
   ],
   "source": [
    "x = u\"abc\"\n",
    "print x\n",
    "print type(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Элеонора Михайловна <type 'unicode'>\n",
      "Элеонора Михайловна <type 'str'>\n",
      "Элеонора Михайловна <type 'unicode'>\n",
      "Р­Р»РµРѕРЅРѕСЂР° РњРёС…Р°Р№Р»РѕРІРЅР° <type 'unicode'>\n"
     ]
    }
   ],
   "source": [
    "x = u'Элеонора Михайловна'\n",
    "print x, type(x)\n",
    "y = x.encode('utf-8')\n",
    "print y, type(y)\n",
    "z = y.decode('utf-8')\n",
    "print x, type(z)\n",
    "q = y.decode('cp1251')\n",
    "print q, type(q)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "UnicodeEncodeError",
     "evalue": "'ascii' codec can't encode characters in position 0-7: ordinal not in range(128)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mUnicodeEncodeError\u001b[0m                        Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-32-814029ae4c69>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mUnicodeEncodeError\u001b[0m: 'ascii' codec can't encode characters in position 0-7: ordinal not in range(128)"
     ]
    }
   ],
   "source": [
    "print str(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "�леонора Михайловна\n",
      "37 <type 'str'>\n",
      "19 <type 'unicode'>\n"
     ]
    }
   ],
   "source": [
    "print y[1:]\n",
    "print len(y), type(y)\n",
    "print len(x), type(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Иван Иванович\n"
     ]
    }
   ],
   "source": [
    "y = u'Иван Иванович'.encode('utf-8')\n",
    "print y.decode('utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "UnicodeDecodeError",
     "evalue": "'charmap' codec can't decode byte 0x98 in position 1: character maps to <undefined>",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mUnicodeDecodeError\u001b[0m                        Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-35-007dbaadc60e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'cp1251'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/Users/iris/Projects/ML/1.mathematics-and-python/lib/python2.7/encodings/cp1251.pyc\u001b[0m in \u001b[0;36mdecode\u001b[0;34m(self, input, errors)\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'strict'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mcodecs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcharmap_decode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mdecoding_table\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     16\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0mIncrementalEncoder\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcodecs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mIncrementalEncoder\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mUnicodeDecodeError\u001b[0m: 'charmap' codec can't decode byte 0x98 in position 1: character maps to <undefined>"
     ]
    }
   ],
   "source": [
    "print y.decode('cp1251')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Ivanov', 'Ivan', 'Ivanovich']\n"
     ]
    }
   ],
   "source": [
    "splitted_line = \"Ivanov Ivan Ivanovich\".split(' ')\n",
    "print splitted_line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<type 'list'>\n"
     ]
    }
   ],
   "source": [
    "print type(splitted_line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['\\xd0\\x98\\xd0\\xb2\\xd0\\xb0\\xd0\\xbd\\xd0\\xbe\\xd0\\xb2', '\\xd0\\x98\\xd0\\xb2\\xd0\\xb0\\xd0\\xbd', '\\xd0\\x98\\xd0\\xb2\\xd0\\xb0\\xd0\\xbd\\xd0\\xbe\\xd0\\xb2\\xd0\\xb8\\xd1\\x87']\n"
     ]
    }
   ],
   "source": [
    "print \"Иванов Иван Иванович\".split(\" \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "�\n"
     ]
    }
   ],
   "source": [
    "print \"\\x98\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[u'\\u0418\\u0432\\u0430\\u043d\\u043e\\u0432', u'\\u0418\\u0432\\u0430\\u043d', u'\\u0418\\u0432\\u0430\\u043d\\u043e\\u0432\\u0438\\u0447']\n"
     ]
    }
   ],
   "source": [
    "print u\"Иванов Иван Иванович\".split(\" \")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##3. Массивы"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[33450, 34010, 33990, 33200]\n",
      "<type 'list'>\n"
     ]
    }
   ],
   "source": [
    "saled_goods_count = [33450, 34010, 33990, 33200]\n",
    "print saled_goods_count\n",
    "print type(saled_goods_count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[u'\\u0412\\u044b\\u0441\\u043e\\u043a\\u0438\\u0439', u'\\u0421\\u0440\\u0435\\u0434\\u043d\\u0438\\u0439', u'\\u0412\\u044b\\u0441\\u043e\\u043a\\u0438\\u0439']\n",
      "[u'\\u042d\\u043b\\u0435\\u043e\\u043d\\u043e\\u0440\\u0430 \\u041c\\u0438\\u0445\\u0430\\u0439\\u043b\\u043e\\u0432\\u043d\\u0430', u'\\u0418\\u0432\\u0430\\u043d \\u0418\\u0432\\u0430\\u043d\\u043e\\u0432\\u0438\\u0447', u'\\u041c\\u0438\\u0445\\u0430\\u0438\\u043b \\u0410\\u0431\\u0440\\u0430\\u043c\\u043e\\u0432\\u0438\\u0447']\n"
     ]
    }
   ],
   "source": [
    "income = [u'Высокий', u'Средний', u'Высокий']\n",
    "names = [u'Элеонора Михайловна', u'Иван Иванович', u'Михаил Абрамович']\n",
    "\n",
    "print income\n",
    "print names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Высокий---Средний---Высокий\n"
     ]
    }
   ],
   "source": [
    "print \"---\".join(income)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Ivan Ivanovich', 'Medium', 500000, 12, True]\n"
     ]
    }
   ],
   "source": [
    "features = ['Ivan Ivanovich', 'Medium', 500000, 12, True]\n",
    "print features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ivan Ivanovich\n",
      "Medium\n",
      "12\n"
     ]
    }
   ],
   "source": [
    "print features[0]\n",
    "print features[1]\n",
    "print features[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Ivan Ivanovich', 'Medium', 500000, 12, True]\n"
     ]
    }
   ],
   "source": [
    "print features[0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Ivan Ivanovich', 'Medium', 500000, 12, True]\n"
     ]
    }
   ],
   "source": [
    "print features[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Medium', 500000, 12, True]\n"
     ]
    }
   ],
   "source": [
    "print features[1:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[500000, 12, True]\n"
     ]
    }
   ],
   "source": [
    "print features[2:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Ivan Ivanovich', 'Medium', 500000, 12]\n"
     ]
    }
   ],
   "source": [
    "print features[:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Ivan Ivanovich', 'Medium', 500000, 12, True, 'One more element in list']\n"
     ]
    }
   ],
   "source": [
    "features.append('One more element in list')\n",
    "print features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "del features[-2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Ivan Ivanovich', 'Medium', 500000, 12, 'One more element in list']\n"
     ]
    }
   ],
   "source": [
    "print features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###tuple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<type 'tuple'>\n"
     ]
    }
   ],
   "source": [
    "features_tuple = ('Ivan Ivanovich', 'Medium', 500000, 12, True)\n",
    "print type(features_tuple)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(500000, 12, True)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_tuple[2:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'tuple' object has no attribute 'append'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-56-ea16a6b56b87>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfeatures_tuple\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'one more element'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m: 'tuple' object has no attribute 'append'"
     ]
    }
   ],
   "source": [
    "features_tuple.append('one more element')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##4. Множества и словари"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "names = {'Ivan', 'Petr', 'Konstantin'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<type 'set'>\n"
     ]
    }
   ],
   "source": [
    "print type(names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "print 'Ivan' in names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n"
     ]
    }
   ],
   "source": [
    "print 'Mikhail' in names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "set(['Ivan', 'Mikhail', 'Konstantin', 'Petr'])\n"
     ]
    }
   ],
   "source": [
    "names.add('Mikhail')\n",
    "print names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "set(['Ivan', 'Mikhail', 'Konstantin', 'Petr'])\n"
     ]
    }
   ],
   "source": [
    "names.add('Mikhail')\n",
    "print names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "names.remove('Mikhail')\n",
    "print names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "names.add(['Vladimir', 'Vladimirovich'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "names.add(('Vladimir', 'Vladimirovich'))\n",
    "print names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = range(10000)\n",
    "b = range(10000)\n",
    "b = set(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "print a[:5]\n",
    "print a[-5:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%%time\n",
    "print 9999 in a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%%time\n",
    "print 9999 in b"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "words_frequencies = dict()\n",
    "words_frequencies['I'] = 1\n",
    "words_frequencies['am'] = 1\n",
    "words_frequencies['I'] += 1\n",
    "\n",
    "print words_frequencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "print words_frequencies['I']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "words_frequencies = {'I': 2, 'am': 1}\n",
    "print words_frequencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "yet_another_dict = {'abc': 3.4, 5: 7.8, u'123': None}\n",
    "print yet_another_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "yet_another_dict[(1,2,5)] = [4, 5, 7]\n",
    "print yet_another_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "yet_another_dict[[1,2,7]] = [4, 5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Где еще можно познакомиться с Python"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://www.coursera.org/courses?query=Python\n",
    "https://www.codeacademy.com\n",
    "https://www.pythontutor.ru\n",
    "https://www.learnpythonthehardway.org\n",
    "https://www.snakify.org\n",
    "https://www.checkio.org"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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