ch_01/checking_your_setup.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Checking your setup\n",
    "Run through this notebook to make sure your environment is properly setup. Be sure to launch Jupyter from inside the virtual environment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using Python in /home/stefaniemolin/book_env:\n",
      "\u001b[42m[ OK ]\u001b[0m Python is version 3.7.3 (default, Dec 20 2019, 18:57:59) \n",
      "[GCC 8.3.0]\n",
      "\n",
      "\u001b[42m[ OK ]\u001b[0m graphviz\n",
      "\u001b[42m[ OK ]\u001b[0m imblearn\n",
      "\u001b[42m[ OK ]\u001b[0m ipympl\n",
      "\u001b[42m[ OK ]\u001b[0m jupyterlab\n",
      "\u001b[42m[ OK ]\u001b[0m matplotlib\n",
      "\u001b[42m[ OK ]\u001b[0m numpy\n",
      "\u001b[42m[ OK ]\u001b[0m pandas\n",
      "\u001b[42m[ OK ]\u001b[0m requests\n",
      "\u001b[42m[ OK ]\u001b[0m sklearn\n",
      "\u001b[42m[ OK ]\u001b[0m scipy\n",
      "\u001b[42m[ OK ]\u001b[0m seaborn\n",
      "\u001b[42m[ OK ]\u001b[0m sqlalchemy\n",
      "\u001b[42m[ OK ]\u001b[0m statsmodels\n",
      "\u001b[42m[ OK ]\u001b[0m wheel\n",
      "\u001b[42m[ OK ]\u001b[0m login_attempt_simulator\n",
      "\u001b[42m[ OK ]\u001b[0m ml_utils\n",
      "\u001b[42m[ OK ]\u001b[0m stock_analysis\n",
      "\u001b[42m[ OK ]\u001b[0m visual_aids\n"
     ]
    }
   ],
   "source": [
    "from check_environment import run_checks\n",
    "run_checks()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Note: Adapted from Andreas Mueller's [`check_env.ipynb` notebook](https://github.com/amueller/ml-workshop-1-of-4/blob/master/check_env.ipynb).*\n",
    "\n",
    "<hr>\n",
    "<div style=\"overflow: hidden; margin-bottom: 10px;\">\n",
    "    <div style=\"float: left;\">\n",
    "         <a href=\"./introduction_to_data_analysis.ipynb\">\n",
    "            <button>&#8592; Introduction to Data Analysis</button>\n",
    "        </a>\n",
    "    </div>\n",
    "    <div style=\"float: right;\">\n",
    "        <a href=\"./python_101.ipynb\">\n",
    "            <button>Python 101</button>\n",
    "        </a>\n",
    "        <a href=\"./exercises.ipynb\">\n",
    "            <button>Exercises &#8594;</button>\n",
    "        </a>\n",
    "    </div>\n",
    "</div>\n",
    "<hr>"
   ]
  }
 ],
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