{"cells":[{"cell_type":"code","metadata":{"_cell_guid":"95a11d7e-9465-4f45-a481-e802d54b97ea","_uuid":"cc73ac4a7c0bd8236c4bd2e82669872bcf6e1560"},"outputs":[],"execution_count":null,"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."}],"metadata":{"language_info":{"codemirror_mode":{"version":3,"name":"ipython"},"version":"3.6.4","mimetype":"text/x-python","nbconvert_exporter":"python","file_extension":".py","pygments_lexer":"ipython3","name":"python"},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"}},"nbformat":4,"nbformat_minor":1}