{"cells":[{"metadata":{"_cell_guid":"a948875c-86db-3efe-9705-d894914cbcb7","_uuid":"6d978132d992c9b58f47fe1e8da79563fbef773e","trusted":false},"cell_type":"code","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)\nimport tensorflow as tf\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,"outputs":[]},{"metadata":{"_cell_guid":"dcd17208-8c6c-df7e-b596-c33ca191a7bb","_uuid":"46db496b3419435d3aa76f60570e4b74390ac430","trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"2fdc064f-e07e-125a-0e30-a6185bf939d1","_uuid":"608dad1b31454a868c563bc22e08cbb8f4bb1d5b","trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"_change_revision":0,"_is_fork":false,"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}