debugging_and_error_handling.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/sazidthe1/Data-Science-Zero-to-Hero/blob/main/debugging_and_error_handling.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Given an array `ar = ['AI',1,'is',2,'the',2.4,'new',True,'electricity', {\"MasterCourse\": \"bridge between academia and industry\"}]`, count the number of different data types."
      ],
      "metadata": {
        "id": "BFHpCQywLe4c"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ar = ['AI',1,'is',2,'the',2.4,'new',True,'electricity', {\"MasterCourse\": \"bridge between academia and industry\"}]\n",
        "\n",
        "count_types = {}\n",
        "for element in ar:\n",
        "  elem_type = type(element)\n",
        "  if elem_type in count_types.keys():\n",
        "    count_types[elem_type] += 1\n",
        "  else:\n",
        "    count_types[elem_type] = 1\n",
        "count_types"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZjpaOv72Dxp-",
        "outputId": "5312875a-35e3-493d-dd94-c35da423a70f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{str: 5, int: 2, float: 1, bool: 1, dict: 1}"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ar = ['AI',1,'is',2,'the',2.4,'new',True,'electricity', {\"MasterCourse\": \"bridge between academia and industry\"}]\n",
        "\n",
        "count_types = {}\n",
        "for idx, element in enumerate(ar):\n",
        "  elem_type = type(element)\n",
        "  # import pdb; pdb.set_trace()\n",
        "  if elem_type in count_types.keys():\n",
        "    count_types[elem_type] += 1\n",
        "  else:\n",
        "    count_types[elem_type] = 1\n",
        "count_types"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GCAvhtWlFLDl",
        "outputId": "b7ee5597-7362-4339-acec-6295c36c5a9d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{str: 5, int: 2, float: 1, bool: 1, dict: 1}"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Given an array `ar = ['AI',1,'is',2,'the',2.4,'new',True,'electricity', {\"MasterCourse\": \"bridge between academia and industry\"}]`, find the sum of the numbers"
      ],
      "metadata": {
        "id": "lUzZMagWeTxQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ar = ['AI',1,'is',2,'the',2.4,'new',True,'electricity', {\"MasterCourse\": \"bridge between academia and industry\"}]\n",
        "\n",
        "sum = 0\n",
        "for element in ar:\n",
        "  try:\n",
        "    sum += element\n",
        "  except TypeError:\n",
        "    continue\n",
        "\n",
        "sum"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q8vOmLTGGyBp",
        "outputId": "a0e9fc99-26b8-4455-f1e2-f3daba560b88"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6.4"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    }
  ]
}