15_iterators_n_genrators.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Iterators and Generators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_list = [1, 2, 3, 4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n",
      "3\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "for i in my_list:\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(my_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_iter = iter(my_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "ename": "StopIteration",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mStopIteration\u001b[0m                             Traceback (most recent call last)",
      "\u001b[1;32m/home/omkar/Omkar Pawar/Data Science/Python-For-Data-Science/iterators_n_genrators.ipynb Cell 6\u001b[0m line \u001b[0;36m1\n\u001b[0;32m----> <a href='vscode-notebook-cell:/home/omkar/Omkar%20Pawar/Data%20Science/Python-For-Data-Science/iterators_n_genrators.ipynb#X25sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mnext\u001b[39;49m(my_iter)\n",
      "\u001b[0;31mStopIteration\u001b[0m: "
     ]
    }
   ],
   "source": [
    "next(my_iter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__class__',\n",
       " '__delattr__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__iter__',\n",
       " '__le__',\n",
       " '__length_hint__',\n",
       " '__lt__',\n",
       " '__ne__',\n",
       " '__new__',\n",
       " '__next__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__setattr__',\n",
       " '__setstate__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__subclasshook__']"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(my_iter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "class MyIterator:\n",
    "    def __init__(self, data):\n",
    "        self.data = data\n",
    "        self.index = 0\n",
    "\n",
    "    def __iter__(self):\n",
    "        return self\n",
    "    \n",
    "    def __next__(self):\n",
    "        if self.index >= len(self.data):\n",
    "            raise StopIteration\n",
    "        \n",
    "        value = self.data[self.index]\n",
    "        self.index += 1\n",
    "        return value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_custom_iter = MyIterator(my_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<__main__.MyIterator at 0x7f09804e16f0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_custom_iter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "ename": "StopIteration",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mStopIteration\u001b[0m                             Traceback (most recent call last)",
      "\u001b[1;32m/home/omkar/Omkar Pawar/Data Science/Python-For-Data-Science/iterators_n_genrators.ipynb Cell 11\u001b[0m line \u001b[0;36m1\n\u001b[0;32m----> <a href='vscode-notebook-cell:/home/omkar/Omkar%20Pawar/Data%20Science/Python-For-Data-Science/iterators_n_genrators.ipynb#X34sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mnext\u001b[39;49m(my_custom_iter)\n",
      "\u001b[1;32m/home/omkar/Omkar Pawar/Data Science/Python-For-Data-Science/iterators_n_genrators.ipynb Cell 11\u001b[0m line \u001b[0;36m1\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/omkar/Omkar%20Pawar/Data%20Science/Python-For-Data-Science/iterators_n_genrators.ipynb#X34sZmlsZQ%3D%3D?line=8'>9</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__next__\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/omkar/Omkar%20Pawar/Data%20Science/Python-For-Data-Science/iterators_n_genrators.ipynb#X34sZmlsZQ%3D%3D?line=9'>10</a>\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mindex \u001b[39m>\u001b[39m\u001b[39m=\u001b[39m \u001b[39mlen\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdata):\n\u001b[0;32m---> <a href='vscode-notebook-cell:/home/omkar/Omkar%20Pawar/Data%20Science/Python-For-Data-Science/iterators_n_genrators.ipynb#X34sZmlsZQ%3D%3D?line=10'>11</a>\u001b[0m         \u001b[39mraise\u001b[39;00m \u001b[39mStopIteration\u001b[39;00m\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/omkar/Omkar%20Pawar/Data%20Science/Python-For-Data-Science/iterators_n_genrators.ipynb#X34sZmlsZQ%3D%3D?line=12'>13</a>\u001b[0m     value \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdata[\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mindex]\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/omkar/Omkar%20Pawar/Data%20Science/Python-For-Data-Science/iterators_n_genrators.ipynb#X34sZmlsZQ%3D%3D?line=13'>14</a>\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mindex \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m \u001b[39m1\u001b[39m\n",
      "\u001b[0;31mStopIteration\u001b[0m: "
     ]
    }
   ],
   "source": [
    "next(my_custom_iter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def my_gen(data):\n",
    "    for i in data:\n",
    "        yield i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<generator object my_gen at 0x7f09802f52a0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_gen(my_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "MyGEN = my_gen(my_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "ename": "StopIteration",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mStopIteration\u001b[0m                             Traceback (most recent call last)",
      "\u001b[1;32m/home/omkar/Omkar Pawar/Data Science/Python-For-Data-Science/iterators_n_genrators.ipynb Cell 15\u001b[0m line \u001b[0;36m1\n\u001b[0;32m----> <a href='vscode-notebook-cell:/home/omkar/Omkar%20Pawar/Data%20Science/Python-For-Data-Science/iterators_n_genrators.ipynb#X42sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mnext\u001b[39;49m(MyGEN)\n",
      "\u001b[0;31mStopIteration\u001b[0m: "
     ]
    }
   ],
   "source": [
    "next(MyGEN)"
   ]
  }
 ],
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