{"cells": [{"outputs": [], "cell_type": "code", "source": ["\n", "import numpy as np # linear algebra\n", "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n", "\n", "# Input data files are available in the \"../input/\" directory.\n", "# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n", "\n", "from subprocess import check_output\n", "print(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n", "\n", "# Any results you write to the current directory are saved as output."], "metadata": {"_uuid": "66cd0eb55030dffcf021262f9aa9486953636f8c", "_cell_guid": "3e9687e8-d68e-4a6d-9457-9a32a94a7f84", "collapsed": true}, "execution_count": null}], "nbformat_minor": 1, "nbformat": 4, "metadata": {"kernelspec": {"name": "python3", "display_name": "Python 3", "language": "python"}, "language_info": {"name": "python", "file_extension": ".py", "codemirror_mode": {"name": "ipython", "version": 3}, "pygments_lexer": "ipython3", "mimetype": "text/x-python", "nbconvert_exporter": "python", "version": "3.6.3"}}}