[Tools] COLAB_Usage.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "view-in-github"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/hwaneest/Lectures/blob/master/Lecture_Note_COLAB.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SdegnDDHcI8B"
   },
   "source": [
    "# [01] Linux Commands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "5mZLxcRlcQTu",
    "outputId": "b187a609-e8a0-47f5-cf24-8306d1a2c683"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'/content'"
      ]
     },
     "execution_count": 1,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd   # print working directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "8bQrySdVb7fH",
    "outputId": "00066f74-86da-4f9d-8b26-6f32664d8bb8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[0m\u001b[01;34msample_data\u001b[0m/\n"
     ]
    }
   ],
   "source": [
    "ls   # list segments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "3sX2zc3kcOi0",
    "outputId": "3f51154b-f871-4958-d8a0-dea3440c54cc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[0m\u001b[01;34m.\u001b[0m/  \u001b[01;34m..\u001b[0m/  \u001b[01;34m.config\u001b[0m/  \u001b[01;34msample_data\u001b[0m/\n"
     ]
    }
   ],
   "source": [
    "ls -a   # all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "t_O-xPzpcaRv",
    "outputId": "02870001-2766-4887-c207-bc89e4df8363"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 4\n",
      "drwxr-xr-x 1 root root 4096 Mar 18 13:36 \u001b[0m\u001b[01;34msample_data\u001b[0m/\n"
     ]
    }
   ],
   "source": [
    "ls -l   # long : permission, #files, owner, group, file_size, mod.date, file_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "KoxAj4iscbUK",
    "outputId": "535f2bda-ce21-4b20-a19b-8db289abc70e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 16\n",
      "drwxr-xr-x 1 root root 4096 Mar 18 13:36 \u001b[0m\u001b[01;34m.\u001b[0m/\n",
      "drwxr-xr-x 1 root root 4096 Mar 22 15:32 \u001b[01;34m..\u001b[0m/\n",
      "drwxr-xr-x 4 root root 4096 Mar 18 13:36 \u001b[01;34m.config\u001b[0m/\n",
      "drwxr-xr-x 1 root root 4096 Mar 18 13:36 \u001b[01;34msample_data\u001b[0m/\n"
     ]
    }
   ],
   "source": [
    "ls -al"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Ca6sb6rykncS",
    "outputId": "af594388-d58a-4c5f-dfc4-4d316083f283"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "grep: sample_data: Is a directory\n"
     ]
    }
   ],
   "source": [
    "ls -al | grep 'amp' *   # search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2XDvtpmRle2x",
    "outputId": "a8eef894-282e-431f-b35e-24970f36c7eb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "drwxr-xr-x 1 root root 4096 Mar 18 13:36 \u001b[01;34msample_data\u001b[0m/\n"
     ]
    }
   ],
   "source": [
    "ls -al | grep 'sam*'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "id": "VNoxTcLFd7uJ"
   },
   "outputs": [],
   "source": [
    "mkdir test_dir   # make directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2zXI5Nv5eQnq",
    "outputId": "d5130b78-a21c-4e83-dd4d-edbce2704f50"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 20\n",
      "drwxr-xr-x 1 root root 4096 Mar 22 15:38 \u001b[0m\u001b[01;34m.\u001b[0m/\n",
      "drwxr-xr-x 1 root root 4096 Mar 22 15:32 \u001b[01;34m..\u001b[0m/\n",
      "drwxr-xr-x 4 root root 4096 Mar 18 13:36 \u001b[01;34m.config\u001b[0m/\n",
      "drwxr-xr-x 1 root root 4096 Mar 18 13:36 \u001b[01;34msample_data\u001b[0m/\n",
      "drwxr-xr-x 2 root root 4096 Mar 22 15:38 \u001b[01;34mtest_dir\u001b[0m/\n"
     ]
    }
   ],
   "source": [
    "ls -al"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "auvt6Fr2eQlX",
    "outputId": "07a06d89-4def-4ebc-b5af-8e92f35de2c9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/test_dir\n"
     ]
    }
   ],
   "source": [
    "cd test_dir"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "oDgYmyeilxGW"
   },
   "source": [
    " -  **'cd'** : change directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "imKwTmBleQi5",
    "outputId": "1d8e6231-25da-4d4e-a275-eee12286f883"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 8\n",
      "drwxr-xr-x 2 root root 4096 Mar 22 15:38 \u001b[0m\u001b[01;34m.\u001b[0m/\n",
      "drwxr-xr-x 1 root root 4096 Mar 22 15:38 \u001b[01;34m..\u001b[0m/\n"
     ]
    }
   ],
   "source": [
    "ls -al"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "vK8Ie9hheQaT",
    "outputId": "6da1ab8c-e347-470a-f195-e50839b23da7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content\n"
     ]
    }
   ],
   "source": [
    "cd .."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "R6i5jQtWfV6b"
   },
   "source": [
    " - **'cd ..'** >>> go back to previous directory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "b8AX9HwSdP58"
   },
   "source": [
    "#### c.f) materials\n",
    " - https://dora-guide.com/linux-commands/\n",
    " - https://withcoding.com/89\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5TRI92JddgW_"
   },
   "source": [
    "# [02] COLAB Directory Structure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "N4GBL5A5dPLv",
    "outputId": "875475ac-4dae-432d-c86c-d194381370d0"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'/content'"
      ]
     },
     "execution_count": 29,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "aW0gWxyXdqWl",
    "outputId": "4997478f-b03b-43fd-f0d4-54b63d4b6714"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'/content'"
      ]
     },
     "execution_count": 30,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "P11lmWvtdsD5",
    "outputId": "1bfc4d81-dc4c-45f4-df40-64de75e4baee"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['.config', 'test_dir', 'sample_data']"
      ]
     },
     "execution_count": 31,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PQBX4gQzdzC1"
   },
   "source": [
    "#### (explore) sample_data directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "KBU9lY6jdtjK",
    "outputId": "eb4ab532-9d7f-49da-dce6-618ccaf3e696"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/sample_data\n"
     ]
    }
   ],
   "source": [
    "cd sample_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "vBjCWbmjekrT",
    "outputId": "7ad4c455-806c-43f4-8b9a-e809d107b95a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 55512\n",
      "drwxr-xr-x 1 root root     4096 Mar 18 13:36 \u001b[0m\u001b[01;34m.\u001b[0m/\n",
      "drwxr-xr-x 1 root root     4096 Mar 22 15:38 \u001b[01;34m..\u001b[0m/\n",
      "-rwxr-xr-x 1 root root     1697 Jan  1  2000 \u001b[01;32manscombe.json\u001b[0m*\n",
      "-rw-r--r-- 1 root root   301141 Mar 18 13:36 california_housing_test.csv\n",
      "-rw-r--r-- 1 root root  1706430 Mar 18 13:36 california_housing_train.csv\n",
      "-rw-r--r-- 1 root root 18289443 Mar 18 13:36 mnist_test.csv\n",
      "-rw-r--r-- 1 root root 36523880 Mar 18 13:36 mnist_train_small.csv\n",
      "-rwxr-xr-x 1 root root      930 Jan  1  2000 \u001b[01;32mREADME.md\u001b[0m*\n"
     ]
    }
   ],
   "source": [
    "ls -al"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "osaTY2YFemQu",
    "outputId": "d0c966f8-7539-4dfe-ad61-039d04f72591"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This directory includes a few sample datasets to get you started.\n",
      "\n",
      "*   `california_housing_data*.csv` is California housing data from the 1990 US\n",
      "    Census; more information is available at:\n",
      "    https://developers.google.com/machine-learning/crash-course/california-housing-data-description\n",
      "\n",
      "*   `mnist_*.csv` is a small sample of the\n",
      "    [MNIST database](https://en.wikipedia.org/wiki/MNIST_database), which is\n",
      "    described at: http://yann.lecun.com/exdb/mnist/\n",
      "\n",
      "*   `anscombe.json` contains a copy of\n",
      "    [Anscombe's quartet](https://en.wikipedia.org/wiki/Anscombe%27s_quartet); it\n",
      "    was originally described in\n",
      "\n",
      "    Anscombe, F. J. (1973). 'Graphs in Statistical Analysis'. American\n",
      "    Statistician. 27 (1): 17-21. JSTOR 2682899.\n",
      "\n",
      "    and our copy was prepared by the\n",
      "    [vega_datasets library](https://github.com/altair-viz/vega_datasets/blob/4f67bdaad10f45e3549984e17e1b3088c731503d/vega_datasets/_data/anscombe.json).\n"
     ]
    }
   ],
   "source": [
    "cat README.md   # concatenate.   ex) cat file1 file2 file3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 128
    },
    "id": "RYQKeOG_fqEk",
    "outputId": "6086d719-2c81-41d8-80bb-657c0f014bee"
   },
   "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>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-114.31</td>\n",
       "      <td>34.19</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5612.0</td>\n",
       "      <td>1283.0</td>\n",
       "      <td>1015.0</td>\n",
       "      <td>472.0</td>\n",
       "      <td>1.4936</td>\n",
       "      <td>66900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-114.47</td>\n",
       "      <td>34.40</td>\n",
       "      <td>19.0</td>\n",
       "      <td>7650.0</td>\n",
       "      <td>1901.0</td>\n",
       "      <td>1129.0</td>\n",
       "      <td>463.0</td>\n",
       "      <td>1.8200</td>\n",
       "      <td>80100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   longitude  latitude  ...  median_income  median_house_value\n",
       "0    -114.31     34.19  ...         1.4936             66900.0\n",
       "1    -114.47     34.40  ...         1.8200             80100.0\n",
       "\n",
       "[2 rows x 9 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv('california_housing_train.csv')\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 128
    },
    "id": "L7Pg28RagCLi",
    "outputId": "be5b90ce-963b-400a-c15e-db2ea4bd8957"
   },
   "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>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-114.31</td>\n",
       "      <td>34.19</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5612.0</td>\n",
       "      <td>1283.0</td>\n",
       "      <td>1015.0</td>\n",
       "      <td>472.0</td>\n",
       "      <td>1.4936</td>\n",
       "      <td>66900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-114.47</td>\n",
       "      <td>34.40</td>\n",
       "      <td>19.0</td>\n",
       "      <td>7650.0</td>\n",
       "      <td>1901.0</td>\n",
       "      <td>1129.0</td>\n",
       "      <td>463.0</td>\n",
       "      <td>1.8200</td>\n",
       "      <td>80100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   longitude  latitude  ...  median_income  median_house_value\n",
       "0    -114.31     34.19  ...         1.4936             66900.0\n",
       "1    -114.47     34.40  ...         1.8200             80100.0\n",
       "\n",
       "[2 rows x 9 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv('./california_housing_train.csv')\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "qVDBrtHSgEg7",
    "outputId": "4fbf7645-0523-4b09-b05f-d20927f80112"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'/content/sample_data'"
      ]
     },
     "execution_count": 37,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "iEa3O46tgNqk",
    "outputId": "aa7e3bbf-8ce5-4b91-ce7c-d4471ef8a47e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content\n"
     ]
    }
   ],
   "source": [
    "cd .."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "VJTgr2ZSgP_B"
   },
   "source": [
    "# [03] Google Drive Mounting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "wRsG3_DXgOIM",
    "outputId": "5fbfa5ae-d615-46dd-8960-e154f874ef8f"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'/content'"
      ]
     },
     "execution_count": 39,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "XTsThRQ7gcye",
    "outputId": "20731ecc-77c4-4713-9d66-3ff6c83b8d76"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mounted at /content/drive\n"
     ]
    }
   ],
   "source": [
    "from google.colab import drive\n",
    "drive.mount(\"/content/drive\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "K9QyHFkngoLD",
    "outputId": "7e4b06ef-1d00-4dd7-84ac-b8434d546e4a"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'/content'"
      ]
     },
     "execution_count": 41,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "buuYXfbCg0q8",
    "outputId": "4aab75ec-c035-4ece-858c-0cad57c151e2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 24\n",
      "drwxr-xr-x 1 root root 4096 Mar 22 15:40 \u001b[0m\u001b[01;34m.\u001b[0m/\n",
      "drwxr-xr-x 1 root root 4096 Mar 22 15:32 \u001b[01;34m..\u001b[0m/\n",
      "drwxr-xr-x 4 root root 4096 Mar 18 13:36 \u001b[01;34m.config\u001b[0m/\n",
      "drwx------ 5 root root 4096 Mar 22 15:40 \u001b[01;34mdrive\u001b[0m/\n",
      "drwxr-xr-x 1 root root 4096 Mar 18 13:36 \u001b[01;34msample_data\u001b[0m/\n",
      "drwxr-xr-x 2 root root 4096 Mar 22 15:38 \u001b[01;34mtest_dir\u001b[0m/\n"
     ]
    }
   ],
   "source": [
    "ls -al"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "avQA0aK5g3Q2",
    "outputId": "8bf61960-62aa-499a-ee9b-491d514f240a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/drive\n"
     ]
    }
   ],
   "source": [
    "cd drive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "aZx3dW3xg415",
    "outputId": "4f6139de-8f7d-4a43-8673-145477ebe519"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 16\n",
      "dr-x------ 2 root root 4096 Mar 22 15:40 \u001b[0m\u001b[01;34m.file-revisions-by-id\u001b[0m/\n",
      "drwx------ 4 root root 4096 Mar 22 15:40 \u001b[01;34mMyDrive\u001b[0m/\n",
      "dr-x------ 2 root root 4096 Mar 22 15:40 \u001b[01;34m.shortcut-targets-by-id\u001b[0m/\n",
      "drwx------ 2 root root 4096 Mar 22 15:40 \u001b[01;34m.Trash\u001b[0m/\n"
     ]
    }
   ],
   "source": [
    "ls -al"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "j_-_iMNmg6E2",
    "outputId": "fdbccbdf-ab8a-458e-e72c-35e467590d59"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/drive/MyDrive\n"
     ]
    }
   ],
   "source": [
    "cd MyDrive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Y1i1eLw1g7PW",
    "outputId": "1468a5b5-0e4a-4074-a419-d132d52e155f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 74705\n",
      "-rw------- 1 root root 74928689 Sep  9  2017  For_Mr.Henry.zip\n",
      "-rw------- 1 root root  1560010 Aug  3  2017 'Getting started.pdf'\n",
      "drwx------ 2 root root     4096 Mar 22 14:40  \u001b[0m\u001b[01;34mKDT_2021\u001b[0m/\n",
      "drwx------ 2 root root     4096 Mar 20 12:03  \u001b[01;34mWCJ_2021\u001b[0m/\n"
     ]
    }
   ],
   "source": [
    "ls -al"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "L77-21B3g8NL",
    "outputId": "72dc3736-764f-4fa6-a79f-3a14d7c98087"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/drive/MyDrive/KDT_2021\n"
     ]
    }
   ],
   "source": [
    "cd KDT_2021/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "QEfBXxsHhDEx",
    "outputId": "706d7e26-32e0-4b41-ba8d-768d13367389"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 23\n",
      "-rw------- 1 root root 23478 Mar 22 15:40 '[Lecture_Note] COLAB.ipynb'\n"
     ]
    }
   ],
   "source": [
    "ls -al"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "boQAYkLVhDs3",
    "outputId": "fba5f8d5-48c9-42e6-b872-caee0359ce12"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/drive/MyDrive\n"
     ]
    }
   ],
   "source": [
    "cd .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "5DMFqBxgmJst",
    "outputId": "7f4c2162-a3bc-45eb-e37c-493208fa5c09"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/drive\n"
     ]
    }
   ],
   "source": [
    "cd .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "VSBSAwuFmKPY",
    "outputId": "7912b873-0437-4f73-fcf9-30b0db4735d2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/drive/MyDrive/KDT_2021\n"
     ]
    }
   ],
   "source": [
    "cd MyDrive/KDT_2021/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "CGqk-AO_mMvd",
    "outputId": "9ec777eb-c8ee-43b7-8a1d-937214967421"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 23\n",
      "-rw------- 1 root root 23478 Mar 22 15:40 '[Lecture_Note] COLAB.ipynb'\n"
     ]
    }
   ],
   "source": [
    "ls -al"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "KLBoocFVmNeU",
    "outputId": "7b9c5c05-0bce-48a2-a334-a88e6f4039c5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/drive\n"
     ]
    }
   ],
   "source": [
    "cd ../.."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "CuxRbfJvmQUI"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "authorship_tag": "ABX9TyNByLt6Ra361q0hCmQ/OfEe",
   "collapsed_sections": [
    "SdegnDDHcI8B",
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    "PQBX4gQzdzC1"
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   "include_colab_link": true,
   "name": "[Lecture_Note] COLAB.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
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