{"cells":[{"metadata":{"_cell_guid":"0406e113-869d-7e39-f420-7b70967599bc","_uuid":"f8ae26e520a00ba7c20ca3ace4a5e34d79b9adaf","trusted":false,"collapsed":true},"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)\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,"outputs":[]},{"metadata":{"_uuid":"9985c3993e317cc63ad146e6336e7365edd7e115"},"cell_type":"markdown","source":"**## Text**"},{"metadata":{"trusted":true,"_uuid":"abef9b8db5932d06eb6c92371c97e02870a4b05d"},"cell_type":"code","source":"print(\"Hello\")","execution_count":2,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"b74de3592392cce6de8ca288fb9fb7eece81fd7d"},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"_is_fork":false,"_change_revision":0,"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"}},"nbformat":4,"nbformat_minor":1}