00_Starter_Notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## NLP Class Final Project Read Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Available CPUs: 8\n",
      "INFO: Pandarallel will run on 7 workers.\n",
      "INFO: Pandarallel will use standard multiprocessing data transfer (pipe) to transfer data between the main process and workers.\n"
     ]
    }
   ],
   "source": [
    "#pip install pandarallel\n",
    "import multiprocessing\n",
    "\n",
    "num_processors = multiprocessing.cpu_count()\n",
    "print(f'Available CPUs: {num_processors}')\n",
    "\n",
    "import pandarallel\n",
    "from pandarallel import pandarallel\n",
    "pandarallel.initialize(nb_workers=num_processors-1, use_memory_fs=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 7.33 s, sys: 10 s, total: 17.4 s\n",
      "Wall time: 8min 58s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(200332, 5)"
      ]
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     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "df_news_final_project = pd.read_parquet('https://storage.googleapis.com/msca-bdp-data-open/news_final_project/news_final_project.parquet', engine='pyarrow')\n",
    "df_news_final_project.shape "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>url</th>\n",
       "      <th>date</th>\n",
       "      <th>language</th>\n",
       "      <th>title</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>http://en.people.cn/n3/2021/0318/c90000-983012...</td>\n",
       "      <td>2021-03-18</td>\n",
       "      <td>en</td>\n",
       "      <td>Artificial intelligence improves parking effic...</td>\n",
       "      <td>\\n\\nArtificial intelligence improves parking e...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>http://newsparliament.com/2020/02/27/children-...</td>\n",
       "      <td>2020-02-27</td>\n",
       "      <td>en</td>\n",
       "      <td>Children With Autism Saw Their Learning and So...</td>\n",
       "      <td>\\nChildren With Autism Saw Their Learning and ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>http://www.dataweek.co.za/12835r</td>\n",
       "      <td>2021-03-26</td>\n",
       "      <td>en</td>\n",
       "      <td>Forget ML, AI and Industry 4.0 – obsolescence ...</td>\n",
       "      <td>\\n\\nForget ML, AI and Industry 4.0 – obsolesce...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>http://www.homeoffice.consumerelectronicsnet.c...</td>\n",
       "      <td>2021-03-10</td>\n",
       "      <td>en</td>\n",
       "      <td>Strategy Analytics: 71% of Smartphones Sold Gl...</td>\n",
       "      <td>\\n\\nStrategy Analytics: 71% of Smartphones Sol...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>http://www.itbusinessnet.com/2020/10/olympus-t...</td>\n",
       "      <td>2020-10-20</td>\n",
       "      <td>en</td>\n",
       "      <td>Olympus to Support Endoscopic AI Diagnosis Edu...</td>\n",
       "      <td>\\n\\nOlympus to Support Endoscopic AI Diagnosis...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 url        date language   \n",
       "0  http://en.people.cn/n3/2021/0318/c90000-983012...  2021-03-18       en  \\\n",
       "1  http://newsparliament.com/2020/02/27/children-...  2020-02-27       en   \n",
       "2                   http://www.dataweek.co.za/12835r  2021-03-26       en   \n",
       "3  http://www.homeoffice.consumerelectronicsnet.c...  2021-03-10       en   \n",
       "4  http://www.itbusinessnet.com/2020/10/olympus-t...  2020-10-20       en   \n",
       "\n",
       "                                               title   \n",
       "0  Artificial intelligence improves parking effic...  \\\n",
       "1  Children With Autism Saw Their Learning and So...   \n",
       "2  Forget ML, AI and Industry 4.0 – obsolescence ...   \n",
       "3  Strategy Analytics: 71% of Smartphones Sold Gl...   \n",
       "4  Olympus to Support Endoscopic AI Diagnosis Edu...   \n",
       "\n",
       "                                                text  \n",
       "0  \\n\\nArtificial intelligence improves parking e...  \n",
       "1  \\nChildren With Autism Saw Their Learning and ...  \n",
       "2  \\n\\nForget ML, AI and Industry 4.0 – obsolesce...  \n",
       "3  \\n\\nStrategy Analytics: 71% of Smartphones Sol...  \n",
       "4  \\n\\nOlympus to Support Endoscopic AI Diagnosis...  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_news_final_project.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_news_final_project"
   ]
  }
 ],
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