{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"785450ce-b3b4-92bd-0705-08434ec9b631"},"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":"ad1ba0b2-e335-3667-a8b0-1f674336d660"},"outputs":[],"source":"clicks_train = pd.read_csv(\"../input/clicks_train.csv\")"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"1be7832b-1c03-63c3-d436-a57c9de06e12"},"outputs":[],"source":"clicks_train"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"bb1e502c-3bcc-d6af-9a0d-19758df974c8"},"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}