12April2023_Lecture.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyPJlQhgcs91LxofoaiYeVuA",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/rskarbez/colab_notebooks/blob/main/12April2023_Lecture.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XEyeCSkak8e4",
        "outputId": "7ee54f82-05dd-48a5-f3c5-d6e196962265"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "12/04/2023\n"
          ]
        }
      ],
      "source": [
        "import datetime\n",
        "\n",
        "now = datetime.datetime.now()\n",
        "\n",
        "print(now.strftime('%d/%m/%Y'))"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(now.strftime('%d/%m/%y'))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "s6sM6o9NljG7",
        "outputId": "fcc63e2d-4c0e-434a-a96b-2e3a96fe854b"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "12/04/23\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(now.strftime('%B %d %Y'))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xyUkDcPmllrc",
        "outputId": "7fda1649-817c-4846-c8d8-a25f98161cad"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "April 12 2023\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(now)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LBtxj6IJlzOR",
        "outputId": "7718bd4c-8132-436c-db57-0e7d692b3fb5"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2023-04-12 08:29:53.221601\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "then = datetime.datetime.strptime('January 12 1982 01:23:34.56789', '%B %d %Y %H:%M:%S.%f')\n",
        "\n",
        "print(then)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oJISxRDnl9sW",
        "outputId": "3c438440-a70e-48b2-a348-0a9f01ee3477"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1982-01-12 01:23:34.567890\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(then.strftime('%d/%m/%Y'))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zmui8L0rmi7q",
        "outputId": "74fd8487-ac33-4203-be9d-242da8a85e28"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "12/01/1982\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "age = now - then\n",
        "\n",
        "print(age)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TKjLw4ntms_K",
        "outputId": "8c0f3992-bc34-4f29-bb2a-b46ebf550619"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "15065 days, 7:06:18.653711\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import random\n",
        "import os"
      ],
      "metadata": {
        "id": "lbj0YX8JnvRb"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(os.getcwd())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_E3At7A7qpbD",
        "outputId": "4b1bf37f-30d7-45b5-f0c4-635a45f77043"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "os.mkdir('test_directory')\n",
        "print(os.listdir())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v9aVYjXfqyyc",
        "outputId": "a314e81d-3be8-4436-c014-2ac797e3295d"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['.config', 'test_directory', 'sample_data']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "os.mkdir('parent_dir/child_dir/grandchild_dir/leaf')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 183
        },
        "id": "luRbEwB7rUPh",
        "outputId": "65d65661-d488-4564-9a49-58a49decb544"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "error",
          "ename": "FileNotFoundError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-12-7be680357d48>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'parent_dir/child_dir/grandchild_dir/leaf'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'parent_dir/child_dir/grandchild_dir/leaf'"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "os.makedirs('parent_dir/child_dir/grandchild_dir/leaf')"
      ],
      "metadata": {
        "id": "3tEiMzFYreKI"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "path = os.getcwd()\n",
        "print(os.path.abspath(path))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zZMoGqEisGT2",
        "outputId": "53ae2d17-0516-4bae-f0c4-c085fadfef72"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import webbrowser\n",
        "\n",
        "url = 'https://www.google.com'\n",
        "webbrowser.open(url)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pr4FO7utsmvW",
        "outputId": "a7f2f348-8574-4b7c-b2ee-a87b9cb02984"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Import seaborn\n",
        "import seaborn as sns\n",
        "\n",
        "# Apply the default theme \n",
        "# (context = 'notebook', style = 'darkgrid', palette = 'deep')\n",
        "sns.set_theme()\n",
        "\n",
        "# Load an example dataset\n",
        "tips = sns.load_dataset(\"tips\")\n",
        "\n",
        "# Create a visualization\n",
        "sns.relplot(\n",
        "    data=tips,\n",
        "    x=\"total_bill\", y=\"tip\", col=\"time\",\n",
        "    hue=\"smoker\", style=\"smoker\", size=\"size\",\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 328
        },
        "id": "2CcztEibt6VR",
        "outputId": "50adfc46-fa91-4fb9-a389-39d0c36bcfaa"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f75f8a0a2e0>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1085.82x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import sys"
      ],
      "metadata": {
        "id": "Gv7rnidq240U"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def make_repeated_list(*args):\n",
        "  print(*args)\n",
        "  return_list = []\n",
        "  for arg in args:\n",
        "    return_list.append(arg)\n",
        "    return_list.append(arg)\n",
        "  return return_list"
      ],
      "metadata": {
        "id": "DH8dei2V34du"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "repeated = make_repeated_list('a', 'b', 'c')\n",
        "print(repeated, sep='\\n')\n",
        "print(*repeated, sep='\\n')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "L8u52FnX4KiE",
        "outputId": "19b79b70-03cb-49a8-de35-fe94ec1961f1"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "a b c\n",
            "['a', 'a', 'b', 'b', 'c', 'c']\n",
            "a\n",
            "a\n",
            "b\n",
            "b\n",
            "c\n",
            "c\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def rearrange_name(**kwargs):\n",
        "  print(kwargs)\n",
        "  print(kwargs['lastname'], ',', kwargs['firstname'], kwargs['middlename'])"
      ],
      "metadata": {
        "id": "HaymNiIV4WNq"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "rearrange_name(firstname='Rick', lastname='Skarbez', middlename='T')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3oy0lxEh5i2U",
        "outputId": "32a85f8b-be12-4b74-d74f-f8e646bed8d0"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'firstname': 'Rick', 'lastname': 'Skarbez', 'middlename': 'T'}\n",
            "Skarbez , Rick T\n"
          ]
        }
      ]
    }
  ]
}