A_Basic_Knowledge_of_Python_Coding.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "12"
      }
     }
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 12"
    },
    {
     "data": {
      "text/plain": [
       "12"
      ]
     },
     "execution_count": 3,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int(input())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2 3"
      }
     }
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 2 3"
    }
   ],
   "source": [
    "arr = input().split()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "4 5"
      }
     }
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 4 5"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4 5\n",
      "['4', '5']\n",
      "5 4\n"
     ]
    }
   ],
   "source": [
    "a,b = map(str,input().split())\n",
    "print(a,b)\n",
    "print([a,b])\n",
    "print(int(b),int(a))\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2"
      },
      "1": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "1 2"
      },
      "2": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2 3"
      }
     }
    },
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
    "lst = []\n",
    "for i in range(int(input())):\n",
    "    arr = list(map(int,input().split()))\n",
    "    lst.append(arr)\n",
    "print(lst)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "3"
      },
      "1": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "1 2 3"
      },
      "2": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2 3 4"
      },
      "3": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "3 4 5"
      }
     }
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 3"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 1 2 3"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 2 3 4"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 3 4 5"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1.0, 2.0, 3.0], [2.0, 3.0, 4.0], [3.0, 4.0, 5.0]]\n"
     ]
    }
   ],
   "source": [
    "lst = list()\n",
    "for i in range(int(input())):\n",
    "    arr = list(map(float,input().split()))\n",
    "    lst.append(arr)\n",
    "print(lst)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2"
      },
      "1": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "1 2"
      },
      "2": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2 3"
      }
     }
    },
    "collapsed": false
   },
   "source": [
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "3"
      }
     }
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 3"
    },
    {
     "data": {
      "text/plain": [
       "[0, 1, 2]"
      ]
     },
     "execution_count": 6,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = [int(i) for i in range(int(input()))]\n",
    "x\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "1 2 3"
      }
     }
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 1 2 3"
    },
    {
     "data": {
      "text/plain": [
       "[1, 2, 3]"
      ]
     },
     "execution_count": 7,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = [int(i) for i in input().split()]\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "3"
      },
      "1": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "1"
      },
      "2": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2"
      },
      "3": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "3"
      }
     }
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 3"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 1"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 2"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 3"
    },
    {
     "data": {
      "text/plain": [
       "[1, 2, 3]"
      ]
     },
     "execution_count": 8,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = [int(input()) for i in range(int(input()))]\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "3"
      },
      "1": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "1"
      },
      "2": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2"
      },
      "3": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "3"
      }
     }
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 3"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 1"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 2"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 3"
    },
    {
     "data": {
      "text/plain": [
       "['1', '2', '3']"
      ]
     },
     "execution_count": 9,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = [input() for i in range(int(input()))]\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2"
      },
      "1": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "1 2"
      },
      "2": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2 3"
      }
     }
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 2"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 1 2"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 2 3"
    },
    {
     "data": {
      "text/plain": [
       "[['1', '2'], ['2', '3']]"
      ]
     },
     "execution_count": 16,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = [input().split() for i in range(int(input()))]\n",
    "x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "1"
      },
      "1": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "1"
      },
      "2": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2"
      }
     }
    },
    "collapsed": false
   },
   "source": [
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2"
      },
      "1": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2"
      },
      "2": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "1 2"
      },
      "3": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2 3"
      },
      "4": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "3"
      },
      "5": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "4"
      },
      "6": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "5"
      },
      "7": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "6"
      }
     }
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 2"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 2"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 1 2"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 2 3"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 3"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 4"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 5"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 6"
    },
    {
     "data": {
      "text/plain": [
       "[[['1', '2'], ['2', '3']], [['4'], ['5'], ['6']]]"
      ]
     },
     "execution_count": 20,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = [[input().split() for i in range(int(input()))] for j in range(int(input()))]\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.33, 5, 5, 1, 2, 0, 1.0)"
      ]
     },
     "execution_count": 21,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(1/3,2), 5%7, 5%9, 5%2, 5//2, 1//3, 3//2.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Hello, World!'"
      ]
     },
     "execution_count": 22,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(\"Hello, World!\")   #Python doesn't need print funcions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Hello']"
      ]
     },
     "execution_count": 27,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(['Hello'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'HI, THIS IS ME.'"
      ]
     },
     "execution_count": 32,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def a():\n",
    "    return \"HI, THIS IS ME.\"\n",
    "a()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 35,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def a():\n",
    "    return 5\n",
    "a()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5 6\n"
     ]
    }
   ],
   "source": [
    "X = 6\n",
    "def a():\n",
    "    X = 5\n",
    "    return X\n",
    "print(a(),X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "123\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<__main__.ram at 0x7fbc800ac940>"
      ]
     },
     "execution_count": 42,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class ram():\n",
    "    x = 123\n",
    "    print(x)\n",
    "ram()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<__main__.ram object at 0x7f5f3b34a320> 111\n"
     ]
    }
   ],
   "source": [
    "x = 111\n",
    "class ram():\n",
    "    x = 123\n",
    "print(ram(),x)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a': 1, 'b': 2}"
      ]
     },
     "execution_count": 2,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def f():\n",
    "    return {\n",
    "        'a': 1,\n",
    "        'b': 2,\n",
    "    }\n",
    "f()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 3,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def f(x):\n",
    "    return {\n",
    "        'a': 1,\n",
    "        'b': 2\n",
    "    }.get(x,9)    # 9 is default if x not found\n",
    "f(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "40\n"
     ]
    }
   ],
   "source": [
    "x = lambda a, b ,c: a * b + c\n",
    "print(x(5, 6, 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "2 3 4"
      }
     }
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 2 3 4"
    }
   ],
   "source": [
    "arr = map(int,input().split())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[7, 6, 5, 4, 3, 2, 1]"
      ]
     },
     "execution_count": 1,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst = [1,2,3,4,5,6,7]\n",
    "lst[::-1] #reverse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 2\n"
     ]
    }
   ],
   "source": [
    "a=2; b=3;\n",
    "a,b = b,a\n",
    "print(a,b) #swaping\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15\n"
     ]
    }
   ],
   "source": [
    "n = lambda a,b:2*a+b #anonymous fuction or one liner function\n",
    "print(n(5,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6\n"
     ]
    }
   ],
   "source": [
    "x=1\n",
    "n = lambda a,b,c:a*x**2+b*x+c\n",
    "print(n(1,2,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "arr = [1,2,3,4,5]\n",
    "if 4 in arr:\n",
    "    print(\"True\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "arr = [1,2,3,4,5]         #use of list, if and for loops\n",
    "for i in range(len(arr)):\n",
    "    if arr[i]%2==0:\n",
    "        print(arr[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[2, 4]"
      ]
     },
     "execution_count": 32,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst = []\n",
    "arr = [1,2,3,4,5]\n",
    "for i in range(len(arr)):\n",
    "    if arr[i]%2==0:\n",
    "        lst.append(arr[i])   #use of append\n",
    "lst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 3, 5]"
      ]
     },
     "execution_count": 34,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst = []\n",
    "arr = [1,2,3,4,5]\n",
    "for i in range(len(arr)):\n",
    "    if arr[i]%2==0:\n",
    "        continue        #its use to skip the iteration\n",
    "    else:\n",
    "        lst.append(arr[i])  #use of append\n",
    "lst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1]"
      ]
     },
     "execution_count": 35,
     "metadata": {
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst = []\n",
    "arr = [1,2,3,4,5]\n",
    "for i in range(len(arr)):\n",
    "    if arr[i]%2==0:\n",
    "        break         #use to break all iteration after once true condition\n",
    "    else:\n",
    "        lst.append(arr[i])   #use of append\n",
    "lst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 4 "
     ]
    }
   ],
   "source": [
    "lst = []\n",
    "arr = [1,2,3,4,5]\n",
    "for i in range(len(arr)):\n",
    "    if arr[i]%2==0:\n",
    "        print(arr[i],end=' ')   #use of end to print in same line\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "lst = []\n",
    "arr = [1,2,3,4,5]\n",
    "for i in range(len(arr)):\n",
    "    if arr[i]%2==0:\n",
    "        print(arr[i],sep=' ')   #use of sep to print different line\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           5\n"
     ]
    }
   ],
   "source": [
    "a = 5\n",
    "print(\" \"*10,a) #to print a gap we can use atrick*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100000 200000\n"
     ]
    }
   ],
   "source": [
    "class Car():        #class name\n",
    "    pass\n",
    "honda = Car()    #objet of class\n",
    "tata = Car()\n",
    "\n",
    "honda.modelname = 'City'  #instantiat Car() class\n",
    "honda.yearM = 2019\n",
    "honda.price = 100000\n",
    "\n",
    "\n",
    "tata.modelname = 'City'\n",
    "tata.yearM = 2020\n",
    "tata.price = 200000\n",
    "\n",
    "print(honda.price,tata.price)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'modelname': 'Bolt', 'yearM': 2020, 'price': 200000}\n",
      "{'modelname': 'City', 'yearM': 2019, 'price': 100000, 'cc': 1500}\n"
     ]
    }
   ],
   "source": [
    "class Car():\n",
    "    def __init__(self,modelname,yearM,price):\n",
    "        self.modelname = modelname\n",
    "        self.yearM = yearM\n",
    "        self.price = price\n",
    "honda = Car('City',2019,100000)\n",
    "tata = Car('Bolt',2020,200000)\n",
    "\n",
    "honda.cc = 1500\n",
    "\n",
    "print(tata.__dict__)\n",
    "print(honda.__dict__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3\n",
      "3\n"
     ]
    }
   ],
   "source": [
    "#1.\n",
    "count = 1\n",
    "N = 2\n",
    "\n",
    "if count == N:\n",
    "    print(count)\n",
    "else:\n",
    "    count = N + 1\n",
    "    print(count)\n",
    "#2.   \n",
    "count = 0 if count == N else N+1\n",
    "print(count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10\n",
      "20\n",
      "30\n"
     ]
    }
   ],
   "source": [
    "a=10;b=20;c=30;\n",
    "print(a);print(b);print(c);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "list indices must be integers or slices, not tuple",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-16-73808a77dba2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: list indices must be integers or slices, not tuple"
     ]
    }
   ],
   "source": [
    "a = [[1,2],[3,4]]\n",
    "print(a[0:,1:])   #error show cause multidimensional array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[2]\n",
      " [4]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "a = np.array([[1,2],[3,4]])\n",
    "print(a[0:,1:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "cocalc": {
     "outputs": {
      "0": {
       "name": "input",
       "opts": {
        "password": false,
        "prompt": ""
       },
       "output_type": "stream",
       "value": "1 2 3"
      }
     }
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": " 1 2 3"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 2 3\n"
     ]
    }
   ],
   "source": [
    "x,y,z = input().split()\n",
    "print(x,y,z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "05-04-1995\n",
      "05/04/1995\n"
     ]
    }
   ],
   "source": [
    "print('05','04','1995',sep='-')\n",
    "print('05','04','1995',sep='/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10 68 520\n",
      "0b111010 0x3a 0o72\n"
     ]
    }
   ],
   "source": [
    "s = '1010'\n",
    "print(int(s,2),int(s,4),int(s,8)) #binary to dec,hex,oct conversion\n",
    "q = 58\n",
    "print(bin(q),hex(q),oct(q)) #dec to bin,hex,oct conversion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 2, 3) [1, 2, 3] {1, 2, 3}\n"
     ]
    }
   ],
   "source": [
    "print((1,2,3),[1,2,3],{1,2,3})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 1 1 0 0 -1 -2\n"
     ]
    }
   ],
   "source": [
    "a = 0; b = 1;\n",
    "print(a&b,a|b,a^b,a>>b,a<<b,~a,~b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[16, 27, 38, 49]\n"
     ]
    }
   ],
   "source": [
    "#map\n",
    "def add_five(x):\n",
    "    return x+5\n",
    "lst = [11,22,33,44]\n",
    "print(list(map(add_five,lst)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[22, 44]\n"
     ]
    }
   ],
   "source": [
    "#filter\n",
    "def filter_even(x):\n",
    "    return x%2==0\n",
    "lst = [11,22,33,44]\n",
    "print(list(filter(filter_even,lst)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
   ],
   "source": [
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (Anaconda 5)",
   "env": {
    "LD_LIBRARY_PATH": "/ext/anaconda5/lib",
    "PROJ_LIB": "/ext/anaconda-2019.03/share/proj",
    "PYTHONHOME": "/ext/anaconda5/lib/python3.5",
    "PYTHONPATH": "/ext/anaconda5/lib/python3.5:/ext/anaconda5/lib/python3.5/site-packages"
   },
   "language": "python",
   "metadata": {
    "cocalc": {
     "description": "Python/R distribution for data science",
     "priority": -1,
     "url": "https://www.anaconda.com/distribution/"
    }
   },
   "name": "anaconda5"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}