{"nbformat":4,"nbformat_minor":0,"metadata":{"kernelspec":{"name":"python3","language":"python","display_name":"Python 3"},"language_info":{"pygments_lexer":"ipython3","name":"python","nbconvert_exporter":"python","file_extension":".py","codemirror_mode":{"version":3,"name":"ipython"},"mimetype":"text/x-python","version":"3.6.0"}},"cells":[{"execution_count":null,"metadata":{"_uuid":"3dd0c0f58ce9918062cf428145dd079949196178","_execution_state":"busy"},"cell_type":"code","outputs":[],"source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport 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\nfrom subprocess import check_output\nprint(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n\n# Any results you write to the current directory are saved as output."},{"execution_count":null,"metadata":{"_uuid":"31303a8c98bb90acdf7c44cae8e575b579a848be","collapsed":false,"_execution_state":"idle"},"cell_type":"code","outputs":[],"source":""}]}