{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"f27a72af-ec3b-0b6b-b284-9fb4cb0574db"},"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."},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"6e3c4adf-011c-64c5-d7b6-da123a3086f9"},"outputs":[],"source":"a=1\nb=2\nc=a+b"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"28490463-b034-9b53-df34-158b24282df0"},"outputs":[],"source":"print c\n\n\n"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"81cf9ab6-50f2-88ab-5c16-3d54cd84523a"},"outputs":[],"source":""}],"metadata":{"_change_revision":0,"_is_fork":false,"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.5.2"}},"nbformat":4,"nbformat_minor":0}