exex3 (1).ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "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": "3.8.5"
    },
    "colab": {
      "name": "exex3.ipynb",
      "provenance": []
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "U_QAWNsJX4WS"
      },
      "source": [
        "t = (1,2,3,3)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JscJlYZhX4WZ",
        "outputId": "55b3a1cf-121d-4fac-cd30-48620ade2394"
      },
      "source": [
        "len(t)\n",
        "print(t[len(t)-3])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Uz2zfT73X4Wc",
        "outputId": "b10b958e-0d89-4453-e377-d0730d4fb541"
      },
      "source": [
        "t[0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8pLkYh2eX4Wd",
        "outputId": "c2a33ebb-be22-48d2-829f-b3f1fd533bcf"
      },
      "source": [
        "t[-1]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xNvV2EdOX4Wf",
        "outputId": "6c164591-a92a-4f1a-f59b-4e548bafec67"
      },
      "source": [
        "t = ('one',2)\n",
        "t.index('one')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TOORUXAsX4Wg",
        "outputId": "353f6ad3-9264-4822-f7b0-081c2b6c7394"
      },
      "source": [
        "t.count('one')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SzIwgNXuX4Wi",
        "outputId": "6c772045-3367-4ffc-faa7-930bd73d4bfa"
      },
      "source": [
        "t[0]= 'change'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "TypeError",
          "evalue": "'tuple' object does not support item assignment",
          "traceback": [
            "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[1;32m<ipython-input-7-1257c0aa9edd>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mt\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m=\u001b[0m \u001b[1;34m'change'\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[1;31mTypeError\u001b[0m: 'tuple' object does not support item assignment"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6EedLjnmX4Wl",
        "outputId": "f65fa9ac-d080-441d-d4f9-910efd9a385f"
      },
      "source": [
        "t.append('nope')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "AttributeError",
          "evalue": "'tuple' object has no attribute 'append'",
          "traceback": [
            "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
            "\u001b[1;32m<ipython-input-8-b75f5b09ac19>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'nope'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[1;31mAttributeError\u001b[0m: 'tuple' object has no attribute 'append'"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6XlRxQLRX4Wm"
      },
      "source": [
        "x = set()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xXWQ7e6vX4Wo"
      },
      "source": [
        "x.add(1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Cfb-RRaHX4Wq",
        "outputId": "cf38a6c7-ad34-4042-ea3b-b478bcf48275"
      },
      "source": [
        "x\n",
        "x.add(3)\n",
        "x"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{1, 3}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2dOTbIf7X4Wr"
      },
      "source": [
        "x.add(2)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5ad3iyHjX4Wt",
        "outputId": "3b27f1ac-77a7-4a74-a9b1-d0cac5a3eca0"
      },
      "source": [
        "x"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{1, 2, 3}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RYSoFcqZX4Wu"
      },
      "source": [
        "x.add(1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Rxgnq8kdX4Wv",
        "outputId": "83710aa1-cb05-4460-9916-6b96f71d12a4"
      },
      "source": [
        "x"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{1, 2, 3}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mzIr6OWdX4Ww"
      },
      "source": [
        "l = [1,1,2,2,3,4,5,6,1,1]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dR7C7Y-LX4Wx",
        "outputId": "fa9684fc-c76f-4d7b-aa5f-700ad06880c4"
      },
      "source": [
        "set(l)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{1, 2, 3, 4, 5, 6}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DFQKh46KX4Wy"
      },
      "source": [
        "my_dict = {'key1':'value1','key2':'value2'}"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YSD-894AX4Wz",
        "outputId": "6e49fdfe-4d2c-497c-d2fa-e6490f4ef63b"
      },
      "source": [
        "my_dict['key2']\n",
        "my_dict['key1']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'value1'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v_dgJNycX4W0"
      },
      "source": [
        "my_dict = {'key1':123,'key2':[12,23,33],'key3':['item0','item1','item2']}"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mq88s3H_X4W1",
        "outputId": "c410600a-80d7-49d4-d55b-edbdbc1edafb"
      },
      "source": [
        "my_dict['key2']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[12, 23, 33]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DW6P98B0X4W2",
        "outputId": "31ef99ca-065c-483b-83da-99dbf191f56e"
      },
      "source": [
        "my_dict['key2'][0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "12"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ElCHnXDuX4W2",
        "outputId": "ec02e908-2a5b-4757-ea92-9062a82b15ad"
      },
      "source": [
        "my_dict['key3'][0].upper()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'ITEM0'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CTC9l7jKX4W3",
        "outputId": "2c8b6180-bdca-47da-f684-52a5472f9065"
      },
      "source": [
        "my_dict['key1']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "123"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mx2Y_C5TX4W5"
      },
      "source": [
        "my_dict['key1'] = my_dict['key1'] - 123"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cNx5Y8yLX4W6",
        "outputId": "f5d99b2a-39c8-4671-d385-7b1af78f9efd"
      },
      "source": [
        "my_dict['key1']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mCTnnFPMX4W7",
        "outputId": "053cf8a8-1344-4739-aaa4-c47c0a9532f9"
      },
      "source": [
        "my_dict['key1'] -= 123\n",
        "my_dict['key1']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-123"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TTTgidHLX4W8"
      },
      "source": [
        "d = {}"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pRq1anXEX4W9"
      },
      "source": [
        "d['animal'] = 'Dog'"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VjoZ1ULjX4W-"
      },
      "source": [
        "d['answer'] = 42"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7rNaL86jX4W_",
        "outputId": "13ef93c8-6631-4152-d5ab-fbdd3a7b1423"
      },
      "source": [
        "d['roh'] = 10\n",
        "d"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'animal': 'Dog', 'answer': 42, 'roh': 10}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ulHNgVChX4XA"
      },
      "source": [
        "d = {'key1':{'nestkey':{'subnestkey':'value'}}}"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Hy1I9C46X4XB",
        "outputId": "d0f6c885-6aa9-4e5f-f97f-2c60faa8d524"
      },
      "source": [
        "d['key1']['nestkey']['subnestkey']\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'value'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z1PgMx4PX4XC"
      },
      "source": [
        "d = {'key1':1,'key2':2,'key3':3}\n",
        "d = {'1': 'yes'}"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lR3HdDqmX4XD",
        "outputId": "4f41200c-9a16-4df4-b659-dcf2ac7b36e6"
      },
      "source": [
        "d.keys()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dict_keys(['1'])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "toOs5l4bX4XG",
        "outputId": "56384a31-f55e-4749-9e56-c0b1daf3bd46"
      },
      "source": [
        "d.values()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dict_values(['yes'])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rsb5DW2kX4XH",
        "outputId": "496be1d4-bc06-4296-a840-a91a14ec92cc"
      },
      "source": [
        "d.items()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dict_items([('1', 'yes')])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EddX5-_uX4XI",
        "outputId": "85630eeb-1618-4274-bfa3-e608ae644d4a"
      },
      "source": [
        "print(list(range(10)))\n",
        "print(list(range(4)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
            "[0, 1, 2, 3]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pMQLJqmyX4XJ",
        "outputId": "890c957a-8da7-46f5-ac44-8edece094d51"
      },
      "source": [
        "{x:x**2 for x in range(10)}"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{0: 0, 1: 1, 2: 4, 3: 9, 4: 16, 5: 25, 6: 36, 7: 49, 8: 64, 9: 81}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yWb31zizX4XL",
        "outputId": "274be20f-0dbe-4b4e-c372-58fce59a809d"
      },
      "source": [
        "def name_of_function(arg1,arg2):\n",
        "    \n",
        "    '''\n",
        "    This is where the function's Document String (doc-string) goes\n",
        "    '''\n",
        "    s = arg1+arg2\n",
        "    print(s)\n",
        "   \n",
        "name_of_function(10,20)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "30\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WgDM3MRgX4XM"
      },
      "source": [
        "def say_hello():\n",
        "    print('hello')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zmI-v8x1X4XN",
        "outputId": "fccc0125-6f0f-47fa-e07c-f564283bcdd2"
      },
      "source": [
        "say_hello()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "hello\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0CjIUCv5X4XP"
      },
      "source": [
        "def greeting(name):\n",
        "    print('Hello %s' %name)\n",
        "    print('how are you doing %s'%name)"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KCC3H5EnX4XQ",
        "outputId": "cfd1e779-de2d-4992-abc0-e59eb144d71b"
      },
      "source": [
        "greeting('ajay')"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Hello ajay\n",
            "how are you doing ajay\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xASOTPqLX4XR"
      },
      "source": [
        "def add_num(num1,num2):\n",
        "    return num1+num2"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YFbnfjj4X4XS",
        "outputId": "24679dcc-897a-4fae-b838-8fe21623ab2c"
      },
      "source": [
        "add_num(4,5)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "9"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kObJKZqlX4XT"
      },
      "source": [
        "result = add_num(4,5)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q21W1KTAX4XU",
        "outputId": "5e9757dd-17ea-4286-b976-6e559d1ce7bd"
      },
      "source": [
        "print(result)\n",
        "print(result+10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "9\n",
            "19\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "COKwDMVBX4XV",
        "outputId": "85ef0857-e7ff-4526-8c4a-82a09891aeae"
      },
      "source": [
        "print(add_num('one','two'))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "onetwo\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BIH9Mr5YX4XW"
      },
      "source": [
        "def is_prime(num):\n",
        "    '''\n",
        "    Naive method of checking for primes. \n",
        "    '''\n",
        "    for n in range(2,num):\n",
        "        if num % n == 0:\n",
        "            print('not prime')\n",
        "            break\n",
        "    else: # If never mod zero, then prime\n",
        "        print('prime')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2XH3bC1zX4XW",
        "outputId": "161f3a2d-78a7-463c-c6ea-dc649019cb0b"
      },
      "source": [
        "is_prime(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "not prime\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2h16OzEkX4XY"
      },
      "source": [
        "import math\n",
        "\n",
        "def is_prime(num):\n",
        "    '''\n",
        "    A Better method of checking for primes. \n",
        "    '''\n",
        "    if num % 2 == 0 and num > 2: \n",
        "        return False\n",
        "    for i in range(3, int(math.sqrt(num)) + 1, 2):\n",
        "        if num % i == 0:\n",
        "            return False\n",
        "    return True "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jD7_2RxHX4XZ",
        "outputId": "52fb38d1-e797-4810-8524-30b853e3be9a"
      },
      "source": [
        "# x = int(input(\"Enter Number\"))\n",
        "print(list(range(3,6,1)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[3, 4, 5]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Qtqz4ymUX4Xa",
        "outputId": "915d3d75-c486-406e-dc2a-baf4f7cab519"
      },
      "source": [
        "is_prime(11)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jjDajUL2X4Xb"
      },
      "source": [
        "def gencubes(n):\n",
        "    for num in range(n):\n",
        "        yield num**3"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "id": "eGrctfCJX4Xc",
        "outputId": "f9cb7744-82f7-4905-d58b-b1a18803dd18"
      },
      "source": [
        "for x in gencubes(5):\n",
        "    print(x)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0\n",
            "1\n",
            "8\n",
            "27\n",
            "64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1QTxm5HcX4Xd"
      },
      "source": [
        "def genfibon(n):\n",
        "    '''\n",
        "    Generate a fibonacci sequence up to n\n",
        "    '''\n",
        "    a = 0\n",
        "    b = 1\n",
        "    for i in range(n):\n",
        "        yield a\n",
        "        a,b = b,a+b"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EsWf_ljTX4Xe",
        "outputId": "9aed0da5-04e0-4210-ec8b-0e25d967a758"
      },
      "source": [
        "for num in genfibon(10):\n",
        "    print(num)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0\n",
            "1\n",
            "1\n",
            "2\n",
            "3\n",
            "5\n",
            "8\n",
            "13\n",
            "21\n",
            "34\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1ENr3BCuX4Xf"
      },
      "source": [
        "def fibon(n):\n",
        "    a = 1\n",
        "    b = 1\n",
        "    output = []\n",
        "    \n",
        "    for i in range(n):\n",
        "        output.append(a)\n",
        "        a,b = b,a+b\n",
        "        \n",
        "    return output"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EMS4V9sqX4Xg",
        "outputId": "7c32c989-978b-40fe-8137-852f8d81e3f5"
      },
      "source": [
        "fibon(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 1, 2, 3, 5, 8, 13, 21, 34, 55]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3UA1Nmg0X4Xg",
        "outputId": "7b12ffde-4f1a-40ee-9d65-8179251aaa27"
      },
      "source": [
        "print(list(range(3)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[0, 1, 2]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yLe_ErfxX4Xh"
      },
      "source": [
        "def simple_gen():\n",
        "    for x in range(3):\n",
        "        yield x"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d_WU5dOwX4Xi"
      },
      "source": [
        "g = simple_gen()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "npjzACH5X4Xi",
        "outputId": "3945c121-37e5-4109-ebc5-59b1bd73f27b"
      },
      "source": [
        "print(next(g))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dhZmw6F8X4Xj",
        "outputId": "bff8be39-8435-4084-f1b2-4646c3d034e8"
      },
      "source": [
        "print(next(g))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HfunokZzX4Xk",
        "outputId": "db24b943-0339-406f-d154-8972e12e8855"
      },
      "source": [
        "print(next(g))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xJoXW6sPX4Xl",
        "outputId": "bb836de3-b0f4-4950-bdd0-89f2c53f851e"
      },
      "source": [
        "print(next(g))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "StopIteration",
          "evalue": "",
          "traceback": [
            "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[1;31mStopIteration\u001b[0m                             Traceback (most recent call last)",
            "\u001b[1;32m<ipython-input-67-1dfb29d6357e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnext\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[1;31mStopIteration\u001b[0m: "
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hQioFrRlX4Xm",
        "outputId": "40cba599-1083-4ad0-f1e3-0f00ebe76218"
      },
      "source": [
        "s = 'hello'\n",
        "\n",
        "#Iterate over string\n",
        "for i in s:\n",
        "    print(i)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "h\n",
            "e\n",
            "l\n",
            "l\n",
            "o\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "32h_1SmZX4Xm",
        "outputId": "cf057264-ff50-4a8e-bf47-f707946193a3"
      },
      "source": [
        "next(s)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "TypeError",
          "evalue": "'str' object is not an iterator",
          "traceback": [
            "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[1;32m<ipython-input-69-61c30b5fe1d5>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mnext\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\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: 'str' object is not an iterator"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SnYOBExtX4Xn"
      },
      "source": [
        "s_iter = iter(s)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nrUFBCm6X4Xo"
      },
      "source": [
        "next(s_iter)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XdxJZZgLX4Xo"
      },
      "source": [
        "next(s_iter)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lW8o_D4vX4Xp"
      },
      "source": [
        "def fahrenheit(T):\n",
        "    return ((float(9)/5)*T + 32)\n",
        "def celsius(T):\n",
        "    return (float(5)/9)*(T-32)\n",
        "    \n",
        "temp = [0, 22.5, 40,100]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E4PtIarMX4Xp",
        "outputId": "564b010e-0c40-4bfc-853d-5e743da13349"
      },
      "source": [
        "F_temps = list(map(fahrenheit, temp))\n",
        "\n",
        "F_temps"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[32.0, 72.5, 104.0, 212.0]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yjx3iwyCX4Xq",
        "outputId": "00ea7e1e-7bc1-4543-bf01-3a143968a442"
      },
      "source": [
        "list(map(celsius, F_temps))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.0, 22.5, 40.0, 100.0]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Emc00PBCX4Xs",
        "outputId": "bed6162b-dfb9-4ec9-9e43-97a4b78fd230"
      },
      "source": [
        "# list(map(lambda x: (5.0/9)*(x - 32), F_temps))\n",
        "list(map(lambda x: (9/5)*(x+32), F_temps))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[115.2, 188.1, 244.8, 439.2]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 85
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Kb4fqkKfX4Xu",
        "outputId": "d53a583f-d4dd-40fb-b062-38d90b0969dd"
      },
      "source": [
        "a = [1,2,3,4]\n",
        "b = [5,6,7,8]\n",
        "c = [9,10,11,12]\n",
        "\n",
        "list(map(lambda x,y:x+y, a,b,))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[6, 8, 10, 12]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "khkEB2ToX4Xw",
        "outputId": "6b831805-aff5-4c84-a725-5ae8129e38f0"
      },
      "source": [
        "\n",
        "list(map(lambda x,y,z:x+y+z, a,b,c))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[15, 18, 21, 24]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_W3VtHnHX4Xx",
        "outputId": "ddfaaa90-1632-4296-e7fe-cb68cc587e19"
      },
      "source": [
        "from functools import reduce\n",
        "lst =[47,11,42,13]\n",
        "reduce(lambda x,y: x+y,lst)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "113"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 93
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WPFYFdNWX4Xy",
        "outputId": "fd13ccaf-0112-40f7-e0e2-862126fb7a6a"
      },
      "source": [
        "from IPython.display import Image\n",
        "Image('http://www.python-course.eu/images/reduce_diagram.png')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 94
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-IQnh5XnX4Xz",
        "outputId": "923f7789-779b-491c-e921-b95838804304"
      },
      "source": [
        "max_find = lambda a,b: a if (a > b) else b\n",
        "max_find"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<function __main__.<lambda>(a, b)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F8UahYCOX4X0",
        "outputId": "63168918-f028-4c20-9fac-a269c6ef7044"
      },
      "source": [
        "print(lst)\n",
        "reduce(lambda a,b: a if (a > b) else b,lst)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[47, 11, 42, 13]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "47"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Vhldu71GX4X0"
      },
      "source": [
        "def even_check(num):\n",
        "    if num%2 ==0:\n",
        "        return True"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7Sr0ax_YX4X1",
        "outputId": "3ef95a57-6e38-4669-e9e7-75c5f25b1327"
      },
      "source": [
        "lst =range(20)\n",
        "print(list(lst))\n",
        "\n",
        "list(filter(even_check,lst))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0, 2, 4, 6, 8, 10, 12, 14, 16, 18]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 101
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z3M6ti3TX4X2",
        "outputId": "3d0e7c4f-7b6a-4d52-e6bb-ab85ce61f539"
      },
      "source": [
        "list(filter(lambda x: x%2==0,lst))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0, 2, 4, 6, 8, 10, 12, 14, 16, 18]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 102
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wDXjgQN1X4X3"
      },
      "source": [
        "def odd_check(num):\n",
        "    if num%2 != 0:\n",
        "        return True"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5REcpDb_X4X3",
        "outputId": "379e2bf9-92a3-49a3-f886-01a8cb5b2185"
      },
      "source": [
        "lst =range(20)\n",
        "list(filter(odd_check,lst))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 3, 5, 7, 9, 11, 13, 15, 17, 19]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 121
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lrZ2QhFHX4X4",
        "outputId": "ca6837cf-0d30-44ed-f370-09aa979d5549"
      },
      "source": [
        "list(filter(lambda x: x%2!=0,lst))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 3, 5, 7, 9, 11, 13, 15, 17, 19]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 119
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FvhczibcX4X5"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}