Basic data structure!.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction to Python\n",
    "\n",
    "Python is a popular programming language. It was created by Guido van Rossum, and released in 1991.\n",
    "\n",
    "It is used for:\n",
    "\n",
    "\n",
    "> web development (server-side),\n",
    "> software development,\n",
    "> mathematics,\n",
    "> system scripting.\n",
    "\n",
    "# What can Python do:\n",
    "\n",
    ">Python can be used on a server to create web applications.\n",
    ">Python can be used alongside software to create workflows.\n",
    ">Python can connect to database systems. It can also read and modify files.\n",
    ">Python can be used to handle big data and perform complex mathematics.\n",
    ">Python can be used for rapid prototyping, or for production-ready software development.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Python Syntax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World!\n"
     ]
    }
   ],
   "source": [
    "print(\"Hello World!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Five is less than ten\n"
     ]
    }
   ],
   "source": [
    "if 5 < 10 :\n",
    "  print(\"Five is less than ten\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "python\n",
      "2\n"
     ]
    }
   ],
   "source": [
    "x = 2\n",
    "y = \"python\"\n",
    "print(y)\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dear Friend\n"
     ]
    }
   ],
   "source": [
    "#print(\"Hello World!!\")\n",
    "print(\"Dear Friend\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Daya Ram Sharma is DR Sharma\n"
     ]
    }
   ],
   "source": [
    "# this is just a comment\n",
    "print(\"Daya Ram Sharma is DR Sharma\")    #comment starts with # and python will ignore them. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Python Variables\n",
    "#Legal variable names:\n",
    "myvar = \"DRS\"\n",
    "my_var = \"DRS\"\n",
    "_my_var = \"DRS\"\n",
    "myVar = \"DRS\"\n",
    "MYVAR = \"DRS\"\n",
    "myvar2 = \"DRS\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Orange\n",
      "Banana\n",
      "Cherry\n"
     ]
    }
   ],
   "source": [
    "#assign value to multiple variables\n",
    "x, y, z = \"Orange\", \"Banana\", \"Cherry\"\n",
    "print(x)\n",
    "print(y)\n",
    "print(z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Orange\n",
      "Orange\n",
      "Orange\n"
     ]
    }
   ],
   "source": [
    "x = y = z = \"Orange\"\n",
    "\n",
    "print(x)\n",
    "print(y)\n",
    "print(z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1, 2, 3, 4, 5, 6, 7, 8}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###This is a set###\n",
    "L = {1, 2, 3, 4 , 5, 6, 7, 8,}\n",
    "L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "L=[1,2,3,4,5,6,7,8,9]\n",
    "\n",
    "L.append (10)\n",
    "L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=\"DRS\" #is same as\n",
    "x='DRS'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python is awesome\n"
     ]
    }
   ],
   "source": [
    "# Output Variables\n",
    "m=\"awesome\"\n",
    "print(\"Python is \"+ m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python is awesome\n"
     ]
    }
   ],
   "source": [
    "x = \"Python is \"\n",
    "y = \"awesome\"\n",
    "z =  x + y\n",
    "print(z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15\n"
     ]
    }
   ],
   "source": [
    "x = 5\n",
    "y = 10\n",
    "print(x + y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### If you try to combine a string and a number, Python will give you an error:\n",
    "   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "unsupported operand type(s) for +: 'int' and 'str'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-25-1d1183d2e68c>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m5\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"Upendra\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'int' and 'str'"
     ]
    }
   ],
   "source": [
    "x = 5\n",
    "y = \"Upendra\"\n",
    "print(x + y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Global Variables\n",
    "Variables that are created outside of a function are known as global variables. Global variables can be used by everyone, both inside of functions and outside."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python is awesome.\n"
     ]
    }
   ],
   "source": [
    "x = \"awesome.\"\n",
    "\n",
    "def myfunc():\n",
    "  print(\"Python is \" + x)\n",
    "\n",
    "myfunc()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python is fantastic.\n",
      "Python is awesome.\n"
     ]
    }
   ],
   "source": [
    "x = \"awesome.\"\n",
    "\n",
    "def myfunc():\n",
    "  x = \"fantastic.\"\n",
    "  print(\"Python is \" + x)\n",
    "\n",
    "myfunc()\n",
    "\n",
    "print(\"Python is \" + x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The global Keyword\n",
    "Normally, when you create a variable inside a function, that variable is local, and can only be used inside that function.To create a global variable inside a function, you can use the global keyword."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python is fantastic.\n"
     ]
    }
   ],
   "source": [
    "def myfunc():\n",
    "  global x\n",
    "  x = \"fantastic.\"\n",
    "\n",
    "myfunc()\n",
    "\n",
    "print(\"Python is \" + x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python is fantastic!!\n"
     ]
    }
   ],
   "source": [
    "x = \"awesome\"\n",
    "\n",
    "def myfunc():\n",
    "  global x\n",
    "  x = \"fantastic!!\"\n",
    "\n",
    "myfunc()\n",
    "\n",
    "print(\"Python is \" + x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Python Data Types"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Built-in Data Types\n",
    "    In programming, data type is an important concept.\n",
    "\n",
    "    Variables can store data of different types, and different types can do different things.\n",
    "\n",
    "    Python has the following data types built-in by default, in these categories:\n",
    "\n",
    "      Text Type:\tstr\n",
    "      Numeric Types:\tint, float, complex\n",
    "      Sequence Types:\tlist, tuple, range\n",
    "      Mapping Type:\tdict\n",
    "      Set Types:\tset, frozenset\n",
    "      Boolean Type:\tbool\n",
    "      Binary Types:\tbytes, bytearray, memoryview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'int'>\n",
      "<class 'str'>\n",
      "<class 'float'>\n",
      "<class 'complex'>\n"
     ]
    }
   ],
   "source": [
    "x=4 #here x is integer(int)\n",
    "print(type(x))\n",
    "x=\"Syllabi\" #now x is a string(str)\n",
    "print(type(x))\n",
    "x=3.2    #x is a float\n",
    "print(type(x))\n",
    "x=5j    #x is complex\n",
    "print(type(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['apple', 'banana', 'cherry']\n",
      "<class 'list'>\n"
     ]
    }
   ],
   "source": [
    "x = [\"apple\", \"banana\", \"cherry\"]\n",
    "\n",
    "print(x)\n",
    "\n",
    "print(type(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('apple', 'banana', 'cherry')\n",
      "<class 'tuple'>\n"
     ]
    }
   ],
   "source": [
    "x = (\"apple\", \"banana\", \"cherry\")\n",
    "\n",
    "print(x)\n",
    "\n",
    "print(type(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "range(0, 7)\n",
      "<class 'range'>\n"
     ]
    }
   ],
   "source": [
    "x = range(7)\n",
    "print(x)\n",
    "print(type(x)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'name': 'DRS', 'age': 37}\n",
      "<class 'dict'>\n"
     ]
    }
   ],
   "source": [
    "x = {\"name\" : \"DRS\", \"age\" : 37}\n",
    "\n",
    "print(x)\n",
    "\n",
    "print(type(x)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'apple', 'banana', 'cherry'}\n",
      "<class 'set'>\n"
     ]
    }
   ],
   "source": [
    "x = {\"apple\", \"banana\", \"cherry\"}\n",
    "\n",
    "\n",
    "print(x)\n",
    "\n",
    "print(type(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "frozenset({'apple', 'banana', 'cherry'})\n",
      "<class 'frozenset'>\n"
     ]
    }
   ],
   "source": [
    "x = frozenset({\"apple\", \"banana\", \"cherry\"})\n",
    "\n",
    "print(x)\n",
    "\n",
    "print(type(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "<class 'bool'>\n"
     ]
    }
   ],
   "source": [
    "x = True\n",
    "\n",
    "\n",
    "print(x)\n",
    "\n",
    "print(type(x)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b'Hello'\n",
      "<class 'bytes'>\n"
     ]
    }
   ],
   "source": [
    "x = b\"Hello\"\n",
    "\n",
    "print(x)\n",
    "\n",
    "print(type(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bytearray(b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00')\n",
      "<class 'bytearray'>\n"
     ]
    }
   ],
   "source": [
    "x = bytearray(17)\n",
    "\n",
    "print(x)\n",
    "\n",
    "print(type(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bytearray(b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00')\n",
      "<class 'bytearray'>\n"
     ]
    }
   ],
   "source": [
    "m=bytearray(77)\n",
    "print(m)\n",
    "print(type(m))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "<class 'bytearray'>\n"
     ]
    }
   ],
   "source": [
    "o=bytearray(7077)\n",
    "print(o)\n",
    "print(type(o))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<memory at 0x000001B49958DAC8>\n",
      "<class 'memoryview'>\n"
     ]
    }
   ],
   "source": [
    "x = memoryview(bytes(7))\n",
    "\n",
    "print(x)\n",
    "\n",
    "print(type(x))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting the Specific Data Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World\n",
      "<class 'str'>\n"
     ]
    }
   ],
   "source": [
    "x = str(\"Hello World\")\n",
    "\n",
    "print(x)\n",
    "\n",
    "print(type(x)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "21\n",
      "<class 'int'>\n"
     ]
    }
   ],
   "source": [
    "a=int(21)\n",
    "print(a)\n",
    "print(type(a))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'float'>\n"
     ]
    }
   ],
   "source": [
    "m=float(7.9)\n",
    "print(type(m))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'apple', 'mango', 'banana', 'orange'}\n",
      "<class 'set'>\n"
     ]
    }
   ],
   "source": [
    "S=set((\"apple\", \"mango\", \"banana\", \"orange\"))\n",
    "print(S)\n",
    "print(type(S))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00'\n",
      "<class 'bytes'>\n"
     ]
    }
   ],
   "source": [
    "y=bytes(700)\n",
    "print(y)\n",
    "print(type(y))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Random Numbers: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "370\n"
     ]
    }
   ],
   "source": [
    "import random as rn\n",
    "print(rn.randrange(290,448))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Strings are Arrays\n",
    "Like many other popular programming languages, strings in Python are arrays of bytes representing unicode characters.\n",
    "\n",
    "However, Python does not have a character data type, a single character is simply a string with a length of 1.\n",
    "\n",
    "Square brackets can be used to access elements of the string."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "W\n"
     ]
    }
   ],
   "source": [
    "a = \"Hello,World!\"\n",
    "print(a[6])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "llo W\n"
     ]
    }
   ],
   "source": [
    "b = \"Hello World!\"\n",
    "print(b[2:7])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "orl\n"
     ]
    }
   ],
   "source": [
    "b = \"Hello, World!\"\n",
    "print(b[-5:-2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### String Length\n",
    "\n",
    "To get the length of a string, use the len() function.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "28\n"
     ]
    }
   ],
   "source": [
    "a = \"Hello, World! How do you do?\"\n",
    "print(len(a))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### String Methods\n",
    "Python has a set of built-in methods that you can use on strings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello, World!\n"
     ]
    }
   ],
   "source": [
    "m = \" Hello, World! \"\n",
    "print(m.strip())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello, world!\n"
     ]
    }
   ],
   "source": [
    "a = \"Hello, World!\"\n",
    "print(a.lower())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "HELLO, WORLD!\n"
     ]
    }
   ],
   "source": [
    "a = \"Hello, World!\"\n",
    "print(a.upper())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Jailor Bros!\n"
     ]
    }
   ],
   "source": [
    "a = \"Tailor Bros!\"\n",
    "print(a.replace(\"T\", \"J\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Funky', ' World!']\n"
     ]
    }
   ],
   "source": [
    "a = \"Funky, World!\"\n",
    "b = a.split(\",\")\n",
    "print(b)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check String\n",
    "To check if a certain phrase or character is present in a string, we can use the keywords in or not in."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "False\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "txt = \"The rain in Nepal stays mainly in the Hill.\"\n",
    "x = \"ain\" in txt\n",
    "print(x)\n",
    "y=\"ram\" in txt\n",
    "print(y)\n",
    "z = \"ram\" not in txt\n",
    "print(z)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### String Concatenation\n",
    "To concatenate, or combine, two strings you can use the + operator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello Brother! Where do you go?\n"
     ]
    }
   ],
   "source": [
    "a = \"Hello\"\n",
    "b = \"Brother!\"\n",
    "m = \"Where do you go?\"\n",
    "c = a +\" \"+ b +\" \"+ m\n",
    "print(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## String Format\n",
    "As we learned in the Python Variables chapter, we cannot combine strings and numbers like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "can only concatenate str (not \"int\") to str",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-125-50b2113f28ca>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m37\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mtxt\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"My name is Upen, I am \"\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mage\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtxt\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: can only concatenate str (not \"int\") to str"
     ]
    }
   ],
   "source": [
    "\n",
    "age = 37\n",
    "txt = \"My name is Upen, I am \" + age \n",
    "print(txt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### But we can combine strings and numbers by using the format() method!\n",
    "\n",
    "The format() method takes the passed arguments, formats them, and places them in the string where the placeholders {} are:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "My name is Upen, and I am 37\n"
     ]
    }
   ],
   "source": [
    "age = 37\n",
    "txt = \"My name is Upen, and I am {}\"\n",
    "print(txt.format(age))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The format() method takes unlimited number of arguments, and are placed into the respective placeholders:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I want 3 pieces of item 567 for 49.95 dollars.\n"
     ]
    }
   ],
   "source": [
    "quantity = 3\n",
    "itemno = 567\n",
    "price = 49.95\n",
    "myorder = \"I want {} pieces of item {} for {} dollars.\"\n",
    "print(myorder.format(quantity, itemno, price))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I want 2 kilograms of organic Pepper for 23.23 dollors.\n"
     ]
    }
   ],
   "source": [
    "quality = \"organic\" \n",
    "vegetable = \"Pepper\"\n",
    "amount = 2\n",
    "price = 23.23\n",
    "myorder = \"I want {} kilograms of {} {} for {} dollors.\"\n",
    "print(myorder.format(amount, quality, vegetable, price))\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### You can use index numbers {0} to be sure the arguments are placed in the correct placeholders:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I want 5 kilograms of organic Pepper for 23.23 dollors.\n"
     ]
    }
   ],
   "source": [
    "\n",
    "quality = \"organic\" \n",
    "vegetable = \"Pepper\"\n",
    "amount = 5\n",
    "price = 23.23\n",
    "myorder = \"I want {2} kilograms of {0} {1} for {3} dollors.\"\n",
    "print(myorder.format( quality, vegetable, amount, price))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Escape Character\n",
    "To insert characters that are illegal in a string, use an escape character. An escape character is a backslash \\ followed by the character you want to insert. An example of an illegal character is a double quote inside a string that is surrounded by double quotes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-142-160b156b329c>, line 3)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-142-160b156b329c>\"\u001b[1;36m, line \u001b[1;32m3\u001b[0m\n\u001b[1;33m    txt = \"We are the so-called \"Vikings\" from the north.\"\u001b[0m\n\u001b[1;37m                                       ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "# You will get an error if you use double quotes inside a string that is surrounded by double quotes:\n",
    "\n",
    "txt = \"We are the so-called \"Vikings\" from the north.\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We are the so-called \"Vikings\" from the north.\n"
     ]
    }
   ],
   "source": [
    "# To fix this problem, use the escape character \\\":\n",
    "txt = \"We are the so-called \\\"Vikings\\\" from the north.\"\n",
    "print(txt) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Other escape characters used in Python:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "It's alright.\n"
     ]
    }
   ],
   "source": [
    "txt = 'It\\'s alright.'\n",
    "print(txt) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This will insert one \\ (backslash).\n"
     ]
    }
   ],
   "source": [
    "txt = \"This will insert one \\\\ (backslash).\"\n",
    "print(txt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello\n",
      "World!\n"
     ]
    }
   ],
   "source": [
    "txt = \"Hello\\nWorld!\"\n",
    "print(txt) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello\r",
      "World!\n"
     ]
    }
   ],
   "source": [
    "txt = \"Hello\\rWorld!\"\n",
    "print(txt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello\tWorld!\n"
     ]
    }
   ],
   "source": [
    "txt = \"Hello\\tWorld!\"\n",
    "print(txt) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello \bWorld!\n"
     ]
    }
   ],
   "source": [
    "#This example erases one character (backspace):\n",
    "txt = \"Hello \\bWorld!\"\n",
    "print(txt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello\n"
     ]
    }
   ],
   "source": [
    "#A backslash followed by three integers will result in a octal value:\n",
    "txt = \"\\110\\145\\154\\154\\157\"\n",
    "print(txt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello\n"
     ]
    }
   ],
   "source": [
    "#A backslash followed by an 'x' and a hex number represents a hex value:\n",
    "txt = \"\\x48\\x65\\x6c\\x6c\\x6f\"\n",
    "print(txt) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Boolean Values\n",
    "In programming you often need to know if an expression is True or False.\n",
    "\n",
    "You can evaluate any expression in Python, and get one of two answers, True or False.\n",
    "\n",
    "When you compare two values, the expression is evaluated and Python returns the Boolean answer:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "False\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "print(10 > 9)\n",
    "print(10 == 9)\n",
    "print(10 < 9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Print a message based on whether the condition is True or False:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b is not greater than a\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "a = 200\n",
    "b = 33\n",
    "\n",
    "if b > a:\n",
    "  print(\"b is greater than a\")\n",
    "else:\n",
    "  print(\"b is not greater than a\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "print(bool(\"Hello\"))\n",
    "print(bool(15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "x = \"Hello\"\n",
    "y = 15\n",
    "\n",
    "print(bool(x))\n",
    "print(bool(y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "print(bool(\"abc\"))\n",
    "print(bool(123))\n",
    "print(bool([\"apple\", \"cherry\", \"banana\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "print(bool(False))\n",
    "print(bool(None))\n",
    "print(bool(0))\n",
    "print(bool(\"\"))\n",
    "print(bool(()))\n",
    "print(bool([]))\n",
    "print(bool({}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n"
     ]
    }
   ],
   "source": [
    "class myclass():\n",
    "  def __len__(self):\n",
    "    return 0\n",
    "\n",
    "myobj = myclass()\n",
    "print(bool(myobj))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Functions can Return a Boolean\n",
    "You can create functions that returns a Boolean Value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "def myFunction() :\n",
    "  return True\n",
    "\n",
    "print(myFunction())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Print \"YES!\" if the function returns True, otherwise print \"NO!\":"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "YES!\n"
     ]
    }
   ],
   "source": [
    "def myFunction() :\n",
    "  return True\n",
    "\n",
    "if myFunction():\n",
    "  print(\"YES!\")\n",
    "else:\n",
    "  print(\"NO!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Python also has many built-in functions that returns a boolean value, like the isinstance() function, which can be used to determine if an object is of a certain data type:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check if an object is an integer or not:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "x = 200\n",
    "print(isinstance(x, int))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Python Operators: "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Modulus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "x = 5\n",
    "y = 2\n",
    "\n",
    "print(x % y)  # % is called the modulus and gives the remainder when first is divided by the second."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exponentiation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "64\n"
     ]
    }
   ],
   "source": [
    "a=4\n",
    "b=3\n",
    "print(a**b) #same as 4*4*4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Floor Division"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "m=7\n",
    "n=4\n",
    "print(m//n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10\n"
     ]
    }
   ],
   "source": [
    "a=7\n",
    "a+=3\n",
    "print(a)     # +=3 means a+3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n"
     ]
    }
   ],
   "source": [
    "y=9\n",
    "y-=5\n",
    "print(y) # y-= means y-5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25\n"
     ]
    }
   ],
   "source": [
    "a=5\n",
    "a*=5\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n"
     ]
    }
   ],
   "source": [
    "a=4\n",
    "a/=4\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    }
   ],
   "source": [
    "x=8\n",
    "x%=3\n",
    "print(x) # gives the remainder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y=62\n",
    "y//=5\n",
    "y       #gives the lowest round nuber remainder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7776"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y=6\n",
    "y**=5\n",
    "y     #gives 6**5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y=6\n",
    "y&=5\n",
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "x = 5\n",
    "\n",
    "x &= 3\n",
    "\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x=8\n",
    "x|=2\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x=9\n",
    "x|7\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x=4\n",
    "x^=2\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x=9\n",
    "x>>=3\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "28"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x=7\n",
    "x<<=2\n",
    "x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### PYTHON List:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "banana\n"
     ]
    }
   ],
   "source": [
    "list=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "print(list[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cherry\n"
     ]
    }
   ],
   "source": [
    "list=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "print(list[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['apple', 'banana', 'orange']\n"
     ]
    }
   ],
   "source": [
    "list=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "print(list[:3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['banana', 'orange']\n"
     ]
    }
   ],
   "source": [
    "list=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "print(list[1:3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['orange']\n"
     ]
    }
   ],
   "source": [
    "list=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "print(list[-2:-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['banana', 'orange', 'cherry']\n"
     ]
    }
   ],
   "source": [
    "list=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "print(list[1:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Change Item Value\n",
    "To change the value of a specific item, refer to the index number:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['apple', 'banana', 'pomegrenate', 'cherry']\n"
     ]
    }
   ],
   "source": [
    "L=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "L[2]=\"pomegrenate\"\n",
    "print(L)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "apple\n",
      "banana\n",
      "orange\n",
      "cherry\n"
     ]
    }
   ],
   "source": [
    "L=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "for x in L:\n",
    "    print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Yes\n"
     ]
    }
   ],
   "source": [
    "L=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "if \"orange\" in L:\n",
    "    print (\"Yes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n"
     ]
    }
   ],
   "source": [
    "L=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "print(len(L))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['apple', 'banana', 'orange', 'cherry', 'grapes']"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "L=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "L.append(\"grapes\")\n",
    "L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['apple', 'banana', 'pumpkin', 'orange', 'cherry']"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "L=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "L.insert(2, \"pumpkin\")\n",
    "L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['apple', 'banana', 'cherry']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "L=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "L.remove(\"orange\")\n",
    "L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['apple', 'banana', 'orange']"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "L=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "L.pop()\n",
    "L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['apple', 'orange', 'cherry']"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "L=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "del L[1]\n",
    "L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'thislist' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-17-76bb39d06e26>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mthislist\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"apple\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"banana\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"orange\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"cherry\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mdel\u001b[0m \u001b[0mthislist\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mthislist\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m  \u001b[1;31m#this will cause an error because you have succsesfully deleted \"thislist\".\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'thislist' is not defined"
     ]
    }
   ],
   "source": [
    "thislist=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "del thislist\n",
    "print(thislist)\n",
    "\n",
    " #this will cause an error because you have succsesfully deleted \"thislist\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "L=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "L.clear()\n",
    "L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['apple', 'banana', 'orange', 'cherry']\n"
     ]
    }
   ],
   "source": [
    "L=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "mylist= L.copy()\n",
    "print(mylist)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Another way to make a copy is to use the built-in method list()."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['apple', 'banana', 'orange', 'cherry']\n"
     ]
    }
   ],
   "source": [
    "L=[\"apple\", \"banana\", \"orange\", \"cherry\"]\n",
    "mylist = list(L)\n",
    "print(mylist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['apple', 'banana', 'cherry']\n"
     ]
    }
   ],
   "source": [
    "thislist = [\"apple\", \"banana\", \"cherry\"]\n",
    "mylist = list(thislist)\n",
    "print(mylist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a', 'b', 'c', 1, 2, 3]\n"
     ]
    }
   ],
   "source": [
    "list1 = [\"a\", \"b\" , \"c\"]\n",
    "list2 = [1, 2, 3]\n",
    "\n",
    "list3 = list1 + list2\n",
    "print(list3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a', 'b', 'c', 1, 2, 3]\n"
     ]
    }
   ],
   "source": [
    "list1 = [\"a\", \"b\" , \"c\"]\n",
    "list2 = [1, 2, 3]\n",
    "\n",
    "for x in list2:\n",
    "  list1.append(x)\n",
    "\n",
    "print(list1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a', 'b', 'c', 1, 2, 3]\n"
     ]
    }
   ],
   "source": [
    "list1 = [\"a\", \"b\" , \"c\"]\n",
    "list2 = [1, 2, 3]\n",
    "\n",
    "list1.extend(list2)\n",
    "print(list1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tuple\n",
    "A tuple is a collection which is ordered and unchangeable. In Python tuples are written with round brackets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('apple', 'banana', 'cherry')\n"
     ]
    }
   ],
   "source": [
    "thistuple = (\"apple\", \"banana\", \"cherry\")\n",
    "print(thistuple)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "banana\n"
     ]
    }
   ],
   "source": [
    "thistuple = (\"apple\", \"banana\", \"cherry\")\n",
    "print(thistuple[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cherry\n"
     ]
    }
   ],
   "source": [
    "thistuple = (\"apple\", \"banana\", \"cherry\")\n",
    "print(thistuple[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('cherry', 'orange', 'kiwi')\n"
     ]
    }
   ],
   "source": [
    "thistuple = (\"apple\", \"banana\", \"cherry\", \"orange\", \"kiwi\", \"melon\", \"mango\")\n",
    "print(thistuple[2:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('orange', 'kiwi', 'melon')\n"
     ]
    }
   ],
   "source": [
    "thistuple = (\"apple\", \"banana\", \"cherry\", \"orange\", \"kiwi\", \"melon\", \"mango\")\n",
    "print(thistuple[-4:-1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Change Tuple Values\n",
    "Once a tuple is created, you cannot change its values. Tuples are unchangeable, or immutable as it also is called.\n",
    "\n",
    "But there is a workaround. You can convert the tuple into a list, change the list, and convert the list back into a tuple."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('apple', 'kiwi', 'cherry')\n"
     ]
    }
   ],
   "source": [
    "x = (\"apple\", \"banana\", \"cherry\")\n",
    "y = list(x)\n",
    "y[1] = \"kiwi\"\n",
    "x = tuple(y)\n",
    "\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loop Through a Tuple\n",
    "You can loop through the tuple items by using a for loop."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "apple\n",
      "banana\n",
      "cherry\n"
     ]
    }
   ],
   "source": [
    "thistuple = (\"apple\", \"banana\", \"cherry\")\n",
    "for x in thistuple:\n",
    "  print(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add Items\n",
    "Once a tuple is created, you cannot add items to it. Tuples are unchangeable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'tuple' object does not support item assignment",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-3-fe88f2910dbf>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mthistuple\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;34m\"apple\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"banana\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"cherry\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mthistuple\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"orange\"\u001b[0m \u001b[1;31m# This will raise an error\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mthistuple\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: 'tuple' object does not support item assignment"
     ]
    }
   ],
   "source": [
    "thistuple = (\"apple\", \"banana\", \"cherry\")\n",
    "thistuple[3] = \"orange\" # This will raise an error\n",
    "print(thistuple)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Tuple With One Item\n",
    "To create a tuple with only one item,we have to add a comma after the item, otherwise Python will not recognize it as a tuple."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'tuple'>\n",
      "<class 'str'>\n"
     ]
    }
   ],
   "source": [
    "thistuple = (\"apple\",)\n",
    "print(type(thistuple))\n",
    "\n",
    "#NOT a tuple\n",
    "thistuple = (\"apple\")\n",
    "print(type(thistuple))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Join two tuples: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('a', 'b', 'c', 1, 2, 3)\n"
     ]
    }
   ],
   "source": [
    "tuple1 = (\"a\", \"b\" , \"c\")\n",
    "tuple2 = (1, 2, 3)\n",
    "\n",
    "tuple3 = tuple1 + tuple2\n",
    "print(tuple3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The tuple() Constructor\n",
    "It is also possible to use the tuple() constructor to make a tuple."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('apple', 'banana', 'cherry')\n"
     ]
    }
   ],
   "source": [
    "thistuple = tuple((\"apple\", \"banana\", \"cherry\")) # note the double round-brackets\n",
    "print(thistuple)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set\n",
    "A set is a collection which is unordered and unindexed. In Python sets are written with curly brackets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'pants', 'shirt', 'shoes', 'shocks'}\n"
     ]
    }
   ],
   "source": [
    "thisset={\"shirt\", \"pants\", \"shoes\", \"shocks\"}\n",
    "print(thisset)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pants\n",
      "shirt\n",
      "shoes\n",
      "shocks\n"
     ]
    }
   ],
   "source": [
    "thisset={\"shirt\", \"pants\", \"shoes\", \"shocks\"}\n",
    "for x in thisset: \n",
    "    print(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add items"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'tie', 'shoes', 'shirt', 'shocks', 'pants'}\n"
     ]
    }
   ],
   "source": [
    "thisset={\"shirt\", \"pants\", \"shoes\", \"shocks\"}\n",
    "thisset.add(\"tie\")\n",
    "print(thisset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'tie', 'cap', 'shoes', 'glass', 'shirt', 'shocks', 'pants'}\n",
      "7\n"
     ]
    }
   ],
   "source": [
    "thisset={\"shirt\", \"pants\", \"shoes\", \"shocks\"}\n",
    "thisset.update([\"tie\", \"cap\", \"glass\"])\n",
    "print(thisset)\n",
    "print(len(thisset))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove Item\n",
    "To remove an item in a set, use the remove(), or the discard() method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'shirt', 'shoes', 'shocks'}\n"
     ]
    }
   ],
   "source": [
    "thisset={\"shirt\", \"pants\", \"shoes\", \"shocks\"}\n",
    "thisset.remove(\"pants\")\n",
    "print(thisset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "thisset={\"shirt\", \"pants\", \"shoes\", \"shocks\"}\n",
    "thisset.discard(\"shocks\")\n",
    "print(thisset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pants\n",
      "{'shirt', 'shoes', 'shocks'}\n"
     ]
    }
   ],
   "source": [
    "thisset={\"shirt\", \"pants\", \"shoes\", \"shocks\"}\n",
    "x=thisset.pop()\n",
    "print(x)\n",
    "print(thisset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'thisset' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-19-7d3ba5a10d87>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mthisset\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m{\u001b[0m\u001b[1;34m\"shirt\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"pants\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"shoes\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"shocks\"\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mdel\u001b[0m \u001b[0mthisset\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mthisset\u001b[0m\u001b[1;33m)\u001b[0m    \u001b[1;31m#this will raise an error because the set no longer exists\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'thisset' is not defined"
     ]
    }
   ],
   "source": [
    "thisset={\"shirt\", \"pants\", \"shoes\", \"shocks\"}\n",
    "del thisset\n",
    "print(thisset)    #this will raise an error because the set no longer exists"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Join Two Sets\n",
    "There are several ways to join two or more sets in Python. You can use the ## union() method that returns a new set containing all items from both sets, or the ## update() method that inserts all the items from one set into another:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'b', 'c', 1, 2, 3, 'a'}\n"
     ]
    }
   ],
   "source": [
    "set1 = {\"a\", \"b\" , \"c\"}\n",
    "set2 = {1, 2, 3}\n",
    "\n",
    "set3 = set1.union(set2)\n",
    "print(set3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'b', 'c', 1, 2, 3, 'a'}\n"
     ]
    }
   ],
   "source": [
    "set1 = {\"a\", \"b\" , \"c\"}\n",
    "set2 = {1, 2, 3}\n",
    "\n",
    "set1.update(set2)\n",
    "print(set1)        #The update() method inserts the items in set2 into set1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The set() Constructor\n",
    "It is also possible to use the set() constructor to make a set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'cherry', 'banana', 'apple'}\n"
     ]
    }
   ],
   "source": [
    "thisset = set((\"apple\", \"banana\", \"cherry\"))               # note the double round-brackets\n",
    "print(thisset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Intersection of sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'pants'}\n"
     ]
    }
   ],
   "source": [
    "A={\"shirt\", \"pants\", \"shoes\", \"shocks\"}\n",
    "B={\"pants\", \"tie\"}\n",
    "C=A.intersection(B)\n",
    "print(C)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'c'}\n"
     ]
    }
   ],
   "source": [
    "x = {\"a\", \"b\", \"c\"}\n",
    "y = {\"c\", \"d\", \"e\"}\n",
    "z = {\"f\", \"g\", \"c\"}\n",
    "\n",
    "result = x.intersection(y, z)\n",
    "\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'jacket', 'pants'}\n"
     ]
    }
   ],
   "source": [
    "A={\"shirt\", \"pants\",\"jacket\", \"shoes\", \"shocks\"}\n",
    "B={\"pants\", \"tie\", \"jacket\"}\n",
    "A.intersection_update(B) #The intersection_update() method removes the items that is not present in both sets.\n",
    "print(A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Python Set isdisjoint() Method\n",
    "The isdisjoint() method returns True if none of the items are present in both sets, otherwise it returns False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n"
     ]
    }
   ],
   "source": [
    "A={\"shirt\", \"pants\",\"jacket\", \"shoes\", \"shocks\"}\n",
    "B={\"pants\", \"tie\", \"jacket\"}\n",
    "C=A.isdisjoint(B)\n",
    "print(C)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "A={\"shirt\", \"pants\",\"jacket\", \"shoes\", \"shocks\"}\n",
    "B={\"apple\", \"google\", \"microsoft\"}\n",
    "C=A.isdisjoint(B)\n",
    "print(C)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Subset of a set in Python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n"
     ]
    }
   ],
   "source": [
    "A={\"shirt\", \"pants\",\"jacket\", \"shoes\", \"shocks\"}\n",
    "B={\"pants\", \"tie\", \"jacket\"}\n",
    "C=A.issubset(B)\n",
    "print(C)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "B={\"shirt\", \"pants\",\"jacket\", \"shoes\", \"shocks\"}\n",
    "A={\"pants\", \"jacket\"}\n",
    "Z=A.issubset(B)\n",
    "print(Z)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Superset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n"
     ]
    }
   ],
   "source": [
    "A={\"shirt\", \"pants\",\"jacket\", \"shoes\", \"shocks\"}\n",
    "B={\"pants\", \"tie\", \"jacket\"}\n",
    "Z=A.issuperset(B)\n",
    "print(Z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "A={\"shirt\", \"pants\",\"jacket\", \"shoes\", \"shocks\"}\n",
    "B={\"pants\", \"jacket\"}\n",
    "Z=A.issuperset(B)\n",
    "print(Z)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Python Set symmetric_difference() Method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'shocks', 'shirt', 'shoes'}\n"
     ]
    }
   ],
   "source": [
    "# Return a set that contains all items from both sets, except items that are present in both sets:\n",
    "A={\"shirt\", \"pants\",\"jacket\", \"shoes\", \"shocks\"}\n",
    "B={\"pants\", \"jacket\"}\n",
    "Z=A.symmetric_difference(B)\n",
    "print(Z)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Python Set symmetric_difference_update() Method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'shocks', 'shirt', 'tie', 'shoes'}\n"
     ]
    }
   ],
   "source": [
    "#Remove the items that are present in both sets, AND insert the items that is not present in both sets:\n",
    "A={\"shirt\", \"pants\",\"jacket\", \"shoes\", \"shocks\"}\n",
    "B={\"pants\", \"jacket\", \"tie\"}\n",
    "A.symmetric_difference_update(B)\n",
    "print(A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Python Set union() Method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'shirt', 'jacket', 'shoes', 'shocks', 'pants'}\n"
     ]
    }
   ],
   "source": [
    "# Return a set that contains all items from both sets, duplicates are excluded:\n",
    "A={\"shirt\", \"pants\",\"jacket\", \"shoes\", \"shocks\"}\n",
    "B={\"pants\", \"jacket\"}\n",
    "Z=A.union(B)\n",
    "print(Z)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Python Set update() Method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'jacket', 'shocks', 'shirt', 'tie', 'shoes', 'pants'}\n"
     ]
    }
   ],
   "source": [
    "#insert the items from set A into set B:\n",
    "A={\"shirt\", \"pants\",\"jacket\", \"shoes\", \"shocks\"}\n",
    "B={\"pants\", \"jacket\", \"tie\"}\n",
    "A.update(B)\n",
    "print(A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Python Dictionaries\n",
    "A dictionary is a collection which is unordered, changeable and indexed. In Python dictionaries are written with curly brackets, and they have keys and values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1166\n",
      "{'brand': 'Springer', 'model': 'Shine', 'year': 1166}\n",
      "Shine\n",
      "{'brand': 'Springer', 'model': 'Honda', 'year': 1166}\n",
      "brand\n",
      "Springer\n",
      "Honda\n",
      "1166\n",
      "model\n",
      "Springer\n",
      "Honda\n",
      "1166\n",
      "year\n",
      "Springer\n",
      "Honda\n",
      "1166\n"
     ]
    }
   ],
   "source": [
    "thisdict = {\n",
    "  \"brand\": \"Springer\",\n",
    "  \"model\": \"Shine\",\n",
    "  \"year\": 1166\n",
    "}\n",
    "x=thisdict[\"year\"]\n",
    "print(x)\n",
    "print(thisdict)\n",
    "y=thisdict.get(\"model\")\n",
    "print(y)\n",
    "thisdict[\"model\"]=\"Honda\"\n",
    "print(thisdict)\n",
    "for a in thisdict:\n",
    "    print(a)\n",
    "    for a in thisdict.values():\n",
    "        print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'brand': 'Springer', 'model': 'Shine', 'year': 1166, 'color': 'red'}\n"
     ]
    }
   ],
   "source": [
    "thisdict = {\n",
    "  \"brand\": \"Springer\",\n",
    "  \"model\": \"Shine\",\n",
    "  \"year\": 1166\n",
    "}\n",
    "thisdict[\"color\"]=\"red\"\n",
    "print(thisdict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0]\n",
      "[0, 4]\n",
      "[0, 4, 8]\n",
      "[0, 4, 8, 12]\n",
      "[0, 4, 8, 12, 16]\n",
      "[0, 4, 8, 12, 16, 20]\n",
      "[0, 4, 8, 12, 16, 20, 24]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244, 248]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244, 248, 252]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244, 248, 252, 256]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244, 248, 252, 256, 260]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244, 248, 252, 256, 260, 264]\n",
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      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244, 248, 252, 256, 260, 264, 268, 272, 276, 280, 284, 288, 292, 296, 300, 304, 308, 312, 316, 320, 324, 328, 332, 336, 340, 344, 348, 352, 356, 360, 364, 368, 372, 376, 380, 384, 388, 392, 396, 400, 404, 408, 412, 416, 420, 424, 428, 432, 436, 440, 444, 448, 452, 456, 460, 464, 468, 472, 476, 480, 484, 488, 492, 496, 500, 504, 508, 512, 516, 520, 524, 528, 532, 536, 540, 544, 548, 552, 556, 560, 564, 568, 572, 576, 580, 584, 588, 592, 596, 600, 604, 608, 612, 616, 620, 624, 628, 632, 636, 640, 644, 648, 652, 656, 660, 664, 668, 672, 676, 680, 684, 688, 692, 696, 700, 704, 708, 712, 716, 720, 724, 728, 732, 736, 740, 744, 748, 752, 756, 760, 764, 768, 772, 776, 780, 784, 788, 792, 796, 800, 804, 808, 812, 816, 820, 824, 828, 832, 836, 840, 844, 848, 852, 856, 860, 864, 868, 872, 876, 880, 884, 888, 892, 896, 900, 904, 908, 912, 916, 920, 924, 928, 932, 936, 940, 944, 948, 952, 956, 960, 964, 968]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244, 248, 252, 256, 260, 264, 268, 272, 276, 280, 284, 288, 292, 296, 300, 304, 308, 312, 316, 320, 324, 328, 332, 336, 340, 344, 348, 352, 356, 360, 364, 368, 372, 376, 380, 384, 388, 392, 396, 400, 404, 408, 412, 416, 420, 424, 428, 432, 436, 440, 444, 448, 452, 456, 460, 464, 468, 472, 476, 480, 484, 488, 492, 496, 500, 504, 508, 512, 516, 520, 524, 528, 532, 536, 540, 544, 548, 552, 556, 560, 564, 568, 572, 576, 580, 584, 588, 592, 596, 600, 604, 608, 612, 616, 620, 624, 628, 632, 636, 640, 644, 648, 652, 656, 660, 664, 668, 672, 676, 680, 684, 688, 692, 696, 700, 704, 708, 712, 716, 720, 724, 728, 732, 736, 740, 744, 748, 752, 756, 760, 764, 768, 772, 776, 780, 784, 788, 792, 796, 800, 804, 808, 812, 816, 820, 824, 828, 832, 836, 840, 844, 848, 852, 856, 860, 864, 868, 872, 876, 880, 884, 888, 892, 896, 900, 904, 908, 912, 916, 920, 924, 928, 932, 936, 940, 944, 948, 952, 956, 960, 964, 968, 972]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244, 248, 252, 256, 260, 264, 268, 272, 276, 280, 284, 288, 292, 296, 300, 304, 308, 312, 316, 320, 324, 328, 332, 336, 340, 344, 348, 352, 356, 360, 364, 368, 372, 376, 380, 384, 388, 392, 396, 400, 404, 408, 412, 416, 420, 424, 428, 432, 436, 440, 444, 448, 452, 456, 460, 464, 468, 472, 476, 480, 484, 488, 492, 496, 500, 504, 508, 512, 516, 520, 524, 528, 532, 536, 540, 544, 548, 552, 556, 560, 564, 568, 572, 576, 580, 584, 588, 592, 596, 600, 604, 608, 612, 616, 620, 624, 628, 632, 636, 640, 644, 648, 652, 656, 660, 664, 668, 672, 676, 680, 684, 688, 692, 696, 700, 704, 708, 712, 716, 720, 724, 728, 732, 736, 740, 744, 748, 752, 756, 760, 764, 768, 772, 776, 780, 784, 788, 792, 796, 800, 804, 808, 812, 816, 820, 824, 828, 832, 836, 840, 844, 848, 852, 856, 860, 864, 868, 872, 876, 880, 884, 888, 892, 896, 900, 904, 908, 912, 916, 920, 924, 928, 932, 936, 940, 944, 948, 952, 956, 960, 964, 968, 972, 976]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244, 248, 252, 256, 260, 264, 268, 272, 276, 280, 284, 288, 292, 296, 300, 304, 308, 312, 316, 320, 324, 328, 332, 336, 340, 344, 348, 352, 356, 360, 364, 368, 372, 376, 380, 384, 388, 392, 396, 400, 404, 408, 412, 416, 420, 424, 428, 432, 436, 440, 444, 448, 452, 456, 460, 464, 468, 472, 476, 480, 484, 488, 492, 496, 500, 504, 508, 512, 516, 520, 524, 528, 532, 536, 540, 544, 548, 552, 556, 560, 564, 568, 572, 576, 580, 584, 588, 592, 596, 600, 604, 608, 612, 616, 620, 624, 628, 632, 636, 640, 644, 648, 652, 656, 660, 664, 668, 672, 676, 680, 684, 688, 692, 696, 700, 704, 708, 712, 716, 720, 724, 728, 732, 736, 740, 744, 748, 752, 756, 760, 764, 768, 772, 776, 780, 784, 788, 792, 796, 800, 804, 808, 812, 816, 820, 824, 828, 832, 836, 840, 844, 848, 852, 856, 860, 864, 868, 872, 876, 880, 884, 888, 892, 896, 900, 904, 908, 912, 916, 920, 924, 928, 932, 936, 940, 944, 948, 952, 956, 960, 964, 968, 972, 976, 980]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244, 248, 252, 256, 260, 264, 268, 272, 276, 280, 284, 288, 292, 296, 300, 304, 308, 312, 316, 320, 324, 328, 332, 336, 340, 344, 348, 352, 356, 360, 364, 368, 372, 376, 380, 384, 388, 392, 396, 400, 404, 408, 412, 416, 420, 424, 428, 432, 436, 440, 444, 448, 452, 456, 460, 464, 468, 472, 476, 480, 484, 488, 492, 496, 500, 504, 508, 512, 516, 520, 524, 528, 532, 536, 540, 544, 548, 552, 556, 560, 564, 568, 572, 576, 580, 584, 588, 592, 596, 600, 604, 608, 612, 616, 620, 624, 628, 632, 636, 640, 644, 648, 652, 656, 660, 664, 668, 672, 676, 680, 684, 688, 692, 696, 700, 704, 708, 712, 716, 720, 724, 728, 732, 736, 740, 744, 748, 752, 756, 760, 764, 768, 772, 776, 780, 784, 788, 792, 796, 800, 804, 808, 812, 816, 820, 824, 828, 832, 836, 840, 844, 848, 852, 856, 860, 864, 868, 872, 876, 880, 884, 888, 892, 896, 900, 904, 908, 912, 916, 920, 924, 928, 932, 936, 940, 944, 948, 952, 956, 960, 964, 968, 972, 976, 980, 984]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244, 248, 252, 256, 260, 264, 268, 272, 276, 280, 284, 288, 292, 296, 300, 304, 308, 312, 316, 320, 324, 328, 332, 336, 340, 344, 348, 352, 356, 360, 364, 368, 372, 376, 380, 384, 388, 392, 396, 400, 404, 408, 412, 416, 420, 424, 428, 432, 436, 440, 444, 448, 452, 456, 460, 464, 468, 472, 476, 480, 484, 488, 492, 496, 500, 504, 508, 512, 516, 520, 524, 528, 532, 536, 540, 544, 548, 552, 556, 560, 564, 568, 572, 576, 580, 584, 588, 592, 596, 600, 604, 608, 612, 616, 620, 624, 628, 632, 636, 640, 644, 648, 652, 656, 660, 664, 668, 672, 676, 680, 684, 688, 692, 696, 700, 704, 708, 712, 716, 720, 724, 728, 732, 736, 740, 744, 748, 752, 756, 760, 764, 768, 772, 776, 780, 784, 788, 792, 796, 800, 804, 808, 812, 816, 820, 824, 828, 832, 836, 840, 844, 848, 852, 856, 860, 864, 868, 872, 876, 880, 884, 888, 892, 896, 900, 904, 908, 912, 916, 920, 924, 928, 932, 936, 940, 944, 948, 952, 956, 960, 964, 968, 972, 976, 980, 984, 988]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244, 248, 252, 256, 260, 264, 268, 272, 276, 280, 284, 288, 292, 296, 300, 304, 308, 312, 316, 320, 324, 328, 332, 336, 340, 344, 348, 352, 356, 360, 364, 368, 372, 376, 380, 384, 388, 392, 396, 400, 404, 408, 412, 416, 420, 424, 428, 432, 436, 440, 444, 448, 452, 456, 460, 464, 468, 472, 476, 480, 484, 488, 492, 496, 500, 504, 508, 512, 516, 520, 524, 528, 532, 536, 540, 544, 548, 552, 556, 560, 564, 568, 572, 576, 580, 584, 588, 592, 596, 600, 604, 608, 612, 616, 620, 624, 628, 632, 636, 640, 644, 648, 652, 656, 660, 664, 668, 672, 676, 680, 684, 688, 692, 696, 700, 704, 708, 712, 716, 720, 724, 728, 732, 736, 740, 744, 748, 752, 756, 760, 764, 768, 772, 776, 780, 784, 788, 792, 796, 800, 804, 808, 812, 816, 820, 824, 828, 832, 836, 840, 844, 848, 852, 856, 860, 864, 868, 872, 876, 880, 884, 888, 892, 896, 900, 904, 908, 912, 916, 920, 924, 928, 932, 936, 940, 944, 948, 952, 956, 960, 964, 968, 972, 976, 980, 984, 988, 992]\n",
      "[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164, 168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216, 220, 224, 228, 232, 236, 240, 244, 248, 252, 256, 260, 264, 268, 272, 276, 280, 284, 288, 292, 296, 300, 304, 308, 312, 316, 320, 324, 328, 332, 336, 340, 344, 348, 352, 356, 360, 364, 368, 372, 376, 380, 384, 388, 392, 396, 400, 404, 408, 412, 416, 420, 424, 428, 432, 436, 440, 444, 448, 452, 456, 460, 464, 468, 472, 476, 480, 484, 488, 492, 496, 500, 504, 508, 512, 516, 520, 524, 528, 532, 536, 540, 544, 548, 552, 556, 560, 564, 568, 572, 576, 580, 584, 588, 592, 596, 600, 604, 608, 612, 616, 620, 624, 628, 632, 636, 640, 644, 648, 652, 656, 660, 664, 668, 672, 676, 680, 684, 688, 692, 696, 700, 704, 708, 712, 716, 720, 724, 728, 732, 736, 740, 744, 748, 752, 756, 760, 764, 768, 772, 776, 780, 784, 788, 792, 796, 800, 804, 808, 812, 816, 820, 824, 828, 832, 836, 840, 844, 848, 852, 856, 860, 864, 868, 872, 876, 880, 884, 888, 892, 896, 900, 904, 908, 912, 916, 920, 924, 928, 932, 936, 940, 944, 948, 952, 956, 960, 964, 968, 972, 976, 980, 984, 988, 992, 996]\n"
     ]
    }
   ],
   "source": [
    "thislist=[]\n",
    "for a in range(0,1000,4):\n",
    "    thislist.append(a)\n",
    "    print(thislist)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remember: the indentation only has given the different result. Check below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99]\n"
     ]
    }
   ],
   "source": [
    "thislist=[]\n",
    "for m in range(100):\n",
    " thislist.append(m)\n",
    "print(thislist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
      "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n"
     ]
    }
   ],
   "source": [
    "thislist=[]\n",
    "for i in range(10):\n",
    " thislist.append(i)\n",
    "print(thislist)\n",
    "    \n",
    "for m in range(15):\n",
    " thislist.append(m)\n",
    "print(thislist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 8, 16, 24, 4, 12, 20, 28, 8, 16, 24, 32, 12, 20, 28, 36, 16, 24, 32, 40]\n"
     ]
    }
   ],
   "source": [
    "thislist=[]\n",
    "for a in range(0,20,4):\n",
    " for b in range(0,15,4):\n",
    "  thislist.append(a+2*b)\n",
    "print(thislist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "120"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "S=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]\n",
    "sum(S)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'ipython-h'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'ipython-h'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'callable_ob' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-5-232bb1c6c197>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mcallable_ob\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0marg1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0marg2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0marg3\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'callable_ob' is not defined"
     ]
    }
   ],
   "source": [
    "callable_ob (arg1, arg2, arg3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'__name__': '__main__',\n",
       " '__doc__': 'Automatically created module for IPython interactive environment',\n",
       " '__package__': None,\n",
       " '__loader__': None,\n",
       " '__spec__': None,\n",
       " '__builtin__': <module 'builtins' (built-in)>,\n",
       " '__builtins__': <module 'builtins' (built-in)>,\n",
       " '_ih': ['',\n",
       "  'a=4\\na/=4\\nprint(a)',\n",
       "  \"'ipython-h'\",\n",
       "  'callable arg1, arg2, arg3',\n",
       "  'callable_ob arg1, arg2, arg3',\n",
       "  'callable_ob (arg1, arg2, arg3)',\n",
       "  'globals()'],\n",
       " '_oh': {2: 'ipython-h'},\n",
       " '_dh': ['C:\\\\Users\\\\dr sHARMA'],\n",
       " 'In': ['',\n",
       "  'a=4\\na/=4\\nprint(a)',\n",
       "  \"'ipython-h'\",\n",
       "  'callable arg1, arg2, arg3',\n",
       "  'callable_ob arg1, arg2, arg3',\n",
       "  'callable_ob (arg1, arg2, arg3)',\n",
       "  'globals()'],\n",
       " 'Out': {2: 'ipython-h'},\n",
       " 'get_ipython': <bound method InteractiveShell.get_ipython of <ipykernel.zmqshell.ZMQInteractiveShell object at 0x000002606E92A848>>,\n",
       " 'exit': <IPython.core.autocall.ZMQExitAutocall at 0x2606e9a8a08>,\n",
       " 'quit': <IPython.core.autocall.ZMQExitAutocall at 0x2606e9a8a08>,\n",
       " '_': 'ipython-h',\n",
       " '__': '',\n",
       " '___': '',\n",
       " '_i': 'callable_ob (arg1, arg2, arg3)',\n",
       " '_ii': 'callable_ob arg1, arg2, arg3',\n",
       " '_iii': 'callable arg1, arg2, arg3',\n",
       " '_i1': 'a=4\\na/=4\\nprint(a)',\n",
       " 'a': 1.0,\n",
       " '_i2': \"'ipython-h'\",\n",
       " '_2': 'ipython-h',\n",
       " '_i3': 'callable arg1, arg2, arg3',\n",
       " '_i4': 'callable_ob arg1, arg2, arg3',\n",
       " '_i5': 'callable_ob (arg1, arg2, arg3)',\n",
       " '_i6': '/globals'}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "/globals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(1, 2, 3), (4, 5, 6)]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[(1,2,3),(4,5,6)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "callable (list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-13-ff100e7d0169>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-13-ff100e7d0169>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m    my_function(\"(\"/home/me\")\")\u001b[0m\n\u001b[1;37m                             ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    ",my_function (\"/home/me\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'globals()'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'globals()'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "S=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]\n",
    "S.reverse()\n",
    "S"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "S.sort(reverse=True)\n",
    "S"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['VW', 'BMW', 'Ford', 'Mitsubishi']\n"
     ]
    }
   ],
   "source": [
    "def my_function(L): \n",
    "    return len(L)\n",
    "S=['Ford', 'Mitsubishi', 'BMW', 'VW']\n",
    "S.sort(key=my_function)  #arranges words with small number of letters to large.\n",
    "print(S)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'car': 'Mitsubishi', 'year': 2000}, {'car': 'Ford', 'year': 2005}, {'car': 'VW', 'year': 2011}, {'car': 'BMW', 'year': 2019}]\n"
     ]
    }
   ],
   "source": [
    "def myFunc(e):\n",
    "  return e['year']\n",
    "\n",
    "cars = [\n",
    "  {'car': 'Ford', 'year': 2005},\n",
    "  {'car': 'Mitsubishi', 'year': 2000},\n",
    "  {'car': 'BMW', 'year': 2019},\n",
    "  {'car': 'VW', 'year': 2011}\n",
    "]\n",
    "\n",
    "cars.sort(key=myFunc) #rearranges year in order from smaller to bigger.\n",
    "\n",
    "print(cars)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Mitsubishi', 'Ford', 'BMW', 'VW']\n"
     ]
    }
   ],
   "source": [
    "#Sort the list by the length of the values and reversed:\n",
    "\n",
    "                # A function that returns the length of the value:\n",
    "def myFunc(e):\n",
    "  return len(e)\n",
    "\n",
    "cars = ['Ford', 'Mitsubishi', 'BMW', 'VW']\n",
    "\n",
    "cars.sort(reverse=True, key=myFunc)\n",
    "print(cars)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Daya Ram Sharma/Paudel\n",
      "Upendra Sharma/Paudel\n",
      "Narayan Sharma/Paudel\n"
     ]
    }
   ],
   "source": [
    "def my_function(fname):\n",
    "  print(fname + \" \" + \"Sharma/Paudel\")\n",
    "\n",
    "my_function(\"Daya Ram\")\n",
    "my_function(\"Upendra\")\n",
    "my_function(\"Narayan\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The sweetest name is Upendra Paudel\n"
     ]
    }
   ],
   "source": [
    "def My_function(*Names):\n",
    "    print(\"The sweetest name is\"+ \" \"+ Names[1])\n",
    "\n",
    "My_function(\"Daya Ram Sharma\", \"Upendra Paudel\", \"Narayan Sharma\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "His last name is Paudel\n"
     ]
    }
   ],
   "source": [
    "# If the number of keyword arguments is unknown, add a double ** before the parameter name:\n",
    "\n",
    "def my_function(**Name):\n",
    "  print(\"His last name is \" + Name[\"lname\"])\n",
    "\n",
    "my_function(fname = \"Upendra\", lname = \"Paudel\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I am from Sweden\n",
      "I am from Nepal\n",
      "I am from Norway\n",
      "I am from Brazil\n"
     ]
    }
   ],
   "source": [
    "def my_function(country = \"Norway\"): #If we call the function without argument, it uses the default value.\n",
    "  print(\"I am from \" + country)\n",
    "\n",
    "my_function(\"Sweden\")\n",
    "my_function(\"Nepal\")\n",
    "my_function()\n",
    "my_function(\"Brazil\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cabbage\n",
      "brocoli\n",
      "pepper\n"
     ]
    }
   ],
   "source": [
    "# if you send a List as an argument, it will still be a List when it reaches the function:\n",
    "def my_function(food):\n",
    "  for x in food:\n",
    "    print(x)\n",
    "\n",
    "vegetables = [\"cabbage\", \"brocoli\", \"pepper\"]\n",
    "\n",
    "my_function(vegetables)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14\n",
      "28\n",
      "42\n"
     ]
    }
   ],
   "source": [
    "def myfunction(x):\n",
    "    return 7*x\n",
    "print(myfunction(2))\n",
    "print(myfunction(4))\n",
    "print(myfunction(6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Recursion\n",
    "Python also accepts function recursion, which means a defined function can call itself.\n",
    "Recursion is a common mathematical and programming concept. It means that a function calls itself. This has the benefit of meaning that you can loop through data to reach a result.\n",
    "\n",
    "The developer should be very careful with recursion as it can be quite easy to slip into writing a function which never terminates, or one that uses excess amounts of memory or processor power. However, when written correctly recursion can be a very efficient and mathematically-elegant approach to programming.\n",
    "\n",
    "In this example, tri_recursion() is a function that we have defined to call itself (\"recurse\"). We use the k variable as the data, which decrements (-1) every time we recurse. The recursion ends when the condition is not greater than 0 (i.e. when it is 0).\n",
    "To a new developer it can take some time to work out how exactly this works, best way to find out is by testing and modifying it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Recursion Example Results\n",
      "1\n",
      "3\n",
      "6\n",
      "10\n",
      "15\n",
      "21\n",
      "28\n",
      "36\n",
      "45\n",
      "55\n",
      "66\n",
      "78\n",
      "91\n",
      "105\n",
      "120\n",
      "136\n",
      "153\n",
      "171\n",
      "190\n",
      "210\n",
      "231\n",
      "253\n",
      "276\n",
      "300\n",
      "325\n",
      "351\n",
      "378\n",
      "406\n",
      "435\n",
      "465\n",
      "496\n",
      "528\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "528"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def tri_recursion(k):\n",
    "  if(k > 0):\n",
    "    result = k + tri_recursion(k - 1)   #as much as I know the result is K+(k-1)+(k-2)+...+2+1\n",
    "    print(result)\n",
    "  else:\n",
    "    result = 0\n",
    "  return result\n",
    "\n",
    "print(\"\\n\\nRecursion Example Results\")\n",
    "tri_recursion(32)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lambda Function: \n",
    "    Why Use Lambda Functions?\n",
    "The power of lambda is better shown when you use them as an anonymous function inside another function.\n",
    "\n",
    "Say you have a function definition that takes one argument, and that argument will be multiplied with an unknown number:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22\n"
     ]
    }
   ],
   "source": [
    "# Use that function definition to make a function that always doubles the number you send in\n",
    "def myfunc(n):\n",
    "  return lambda a : a * n\n",
    "\n",
    "mydoubler = myfunc(2)\n",
    "\n",
    "print(mydoubler(11))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "24\n",
      "44\n"
     ]
    }
   ],
   "source": [
    "def myfunction(A):\n",
    "    return lambda x:x*A\n",
    "\n",
    "mytripler=myfunction(3)\n",
    "myquadrupler=myfunction(4)\n",
    "\n",
    "print(mytripler(8))\n",
    "print(myquadrupler(11))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Arrays\n",
    "This page shows you how to use LISTS as ARRAYS, however, to work with arrays in Python you will have to import a library, like the NumPy library.\n",
    "### What is an Array?\n",
    "An array is a special variable, which can hold more than one value at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['cabbage', 'brocoli', 'pepper']\n",
      "2\n",
      "pepper\n",
      "['cabbage', 'brocoli', 'pumpkin']\n",
      "3\n",
      "['pumpkin', 'brocoli', 'cabbage']\n",
      "pumpkin\n",
      "brocoli\n",
      "cabbage\n",
      "['pumpkin', 'brocoli', 'cabbage', 'zuchini']\n",
      "['pumpkin', 'cabbage', 'zuchini']\n",
      "['pumpkin', 'zuchini']\n",
      "['zuchini', 'pumpkin']\n"
     ]
    }
   ],
   "source": [
    "vegetables = [\"cabbage\", \"brocoli\", \"pepper\"]\n",
    "\n",
    "print(vegetables)\n",
    "\n",
    "y=vegetables.index(\"pepper\")\n",
    "print(y)\n",
    "\n",
    "print(vegetables[2])\n",
    "vegetables[2]=\"pumpkin\"\n",
    "print(vegetables)\n",
    "\n",
    "x=len(vegetables)\n",
    "print(x)\n",
    "\n",
    "vegetables.reverse()\n",
    "print(vegetables)\n",
    "\n",
    "for i in vegetables:\n",
    "    print(i)\n",
    "    \n",
    "vegetables.append(\"zuchini\")\n",
    "print(vegetables)\n",
    "\n",
    "vegetables.pop(1)\n",
    "print(vegetables)\n",
    "\n",
    "vegetables.remove(\"cabbage\")\n",
    "print(vegetables)\n",
    "\n",
    "vegetables.sort(reverse=True)\n",
    "print(vegetables)\n",
    "\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['quality', 'vegetable', 'amount', 'price'])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mydict= {'quality': \"organic\",\n",
    "         'vegetable': \"Pepper\",\n",
    "         'amount': \"5Kg\", \n",
    "         'price':  \"NRs. 23.23\"}\n",
    "mydict.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values(['organic', 'Pepper', '5Kg', 'NRs. 23.23'])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mydict.values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quality organic\n",
      "vegetable Pepper\n",
      "amount 5Kg\n",
      "price NRs. 23.23\n"
     ]
    }
   ],
   "source": [
    "for key,value in mydict.items():\n",
    "    print (key,value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'quality': 'organic', 'vegetable': 'Pepper', 'amount': '5Kg', 'price': 'NRs. 23.23', 'Shop': 'Balkhu Bazaar'}\n"
     ]
    }
   ],
   "source": [
    "mydict.update({'Shop': \"Balkhu Bazaar\"})\n",
    "print(mydict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['organic', 'Pepper', '5Kg', 'NRs. 23.23', 'Balkhu Bazaar']"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(mydict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['quality', 'vegetable', 'amount', 'price', 'Shop']"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(mydict.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['organic', 'Pepper', '5Kg', 'NRs. 23.23', 'Balkhu Bazaar']"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(mydict.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'quality': ['organic', 'inorganic', 'Mixed'], 'vegetable': ['Pepper', 'cabbage', 'chilly'], 'amount': {'pepper': '2Kg', 'cabbage': '23Kg', 'chilly': '20 gm'}, 'price': {'pepper': 'NRs. 200', 'cabbage': 'NRs. 230', 'chilly': 'NRs. 20'}}\n"
     ]
    }
   ],
   "source": [
    "D ={\n",
    "    'quality': [\"organic\", \"inorganic\", \"Mixed\"],\\\n",
    "         'vegetable': [\"Pepper\", \"cabbage\", \"chilly\"],\\\n",
    "         'amount': {\"pepper\": '2Kg', \"cabbage\": '23Kg', \"chilly\": '20 gm'},\\\n",
    "    'price':  {\"pepper\": 'NRs. 200', \"cabbage\": 'NRs. 230', \"chilly\": 'NRs. 20'}}\n",
    "print(D)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Wow! Define functions within list and present in tabulated form and plot graph. Wow!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sin': [0.0, 0.8414709848078965, 0.9092974268256817, 0.1411200080598672],\n",
       " 'cos': [1.0, 0.5403023058681398, -0.4161468365471424, -0.9899924966004454],\n",
       " 'tan': [0.0, 1.5574077246549023, -2.185039863261519, -0.1425465430742778],\n",
       " 'plo': [1.0, 3.0, 7.0, 13.0],\n",
       " 'trigF1': [1.0, 1.3817732906760363, 0.4931505902785393, -0.8488724885405782],\n",
       " 'trig2': [0.0, 0.9092974268256818, -0.7568024953079283, -0.27941549819892586],\n",
       " 'trig3': [0.0, 2.4255188208147596, 4.774399204041917, 0.020319516942426938]}"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "x=np.arange(0,np.pi,1.0)\n",
    "F={\"sin\":[np.sin(x) for x in x],\\\n",
    "   \"cos\":[np.cos(x) for x in x],\\\n",
    "   \"tan\":[np.tan(x) for x in x],\\\n",
    "   \"plo\":[(x*x+x+1) for x in x],\\\n",
    "   \"trigF1\":[np.sin(x)+np.cos(x)for x in x],\\\n",
    "   \"trig2\":[2*np.sin(x)*np.cos(x)for x in x],\\\n",
    "   \"trig3\":[np.sin(x)*np.tan(x)/np.cos(x) for x in x]}\n",
    "F"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sin</th>\n",
       "      <th>cos</th>\n",
       "      <th>tan</th>\n",
       "      <th>plo</th>\n",
       "      <th>trigF1</th>\n",
       "      <th>trig2</th>\n",
       "      <th>trig3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.841471</td>\n",
       "      <td>0.540302</td>\n",
       "      <td>1.557408</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.381773</td>\n",
       "      <td>0.909297</td>\n",
       "      <td>2.425519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.909297</td>\n",
       "      <td>-0.416147</td>\n",
       "      <td>-2.185040</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.493151</td>\n",
       "      <td>-0.756802</td>\n",
       "      <td>4.774399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.141120</td>\n",
       "      <td>-0.989992</td>\n",
       "      <td>-0.142547</td>\n",
       "      <td>13.0</td>\n",
       "      <td>-0.848872</td>\n",
       "      <td>-0.279415</td>\n",
       "      <td>0.020320</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        sin       cos       tan   plo    trigF1     trig2     trig3\n",
       "0  0.000000  1.000000  0.000000   1.0  1.000000  0.000000  0.000000\n",
       "1  0.841471  0.540302  1.557408   3.0  1.381773  0.909297  2.425519\n",
       "2  0.909297 -0.416147 -2.185040   7.0  0.493151 -0.756802  4.774399\n",
       "3  0.141120 -0.989992 -0.142547  13.0 -0.848872 -0.279415  0.020320"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "DF=pd.DataFrame(F)\n",
    "DF.head()  #this \"head\" gives first five values only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sin</th>\n",
       "      <th>cos</th>\n",
       "      <th>tan</th>\n",
       "      <th>plo</th>\n",
       "      <th>trigF1</th>\n",
       "      <th>trig2</th>\n",
       "      <th>trig3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.841471</td>\n",
       "      <td>0.540302</td>\n",
       "      <td>1.557408</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.381773</td>\n",
       "      <td>0.909297</td>\n",
       "      <td>2.425519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.909297</td>\n",
       "      <td>-0.416147</td>\n",
       "      <td>-2.185040</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.493151</td>\n",
       "      <td>-0.756802</td>\n",
       "      <td>4.774399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.141120</td>\n",
       "      <td>-0.989992</td>\n",
       "      <td>-0.142547</td>\n",
       "      <td>13.0</td>\n",
       "      <td>-0.848872</td>\n",
       "      <td>-0.279415</td>\n",
       "      <td>0.020320</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        sin       cos       tan   plo    trigF1     trig2     trig3\n",
       "0  0.000000  1.000000  0.000000   1.0  1.000000  0.000000  0.000000\n",
       "1  0.841471  0.540302  1.557408   3.0  1.381773  0.909297  2.425519\n",
       "2  0.909297 -0.416147 -2.185040   7.0  0.493151 -0.756802  4.774399\n",
       "3  0.141120 -0.989992 -0.142547  13.0 -0.848872 -0.279415  0.020320"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DF # this gives all the values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x270f1b27148>"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot\n",
    "%matplotlib inline\n",
    "DF.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}