{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"ff2aecfd-32c0-3261-0d5e-8a5911003c71"},"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":"64956081-cba0-6ac9-cc32-1c63603abb60"},"outputs":[],"source":"!ls ../input"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"83052f64-d9f3-55bc-4208-68de93630ef4"},"outputs":[],"source":"!head ../input/clicks_train.csv"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"b4b0baee-3ec9-98cb-7b0d-bd878d36de34"},"outputs":[],"source":"clicks_train = pandas.read_csv('../input/clicks_train.csv')"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"a02bb72e-7cc8-83ce-fbbc-02d6475703b1"},"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}