{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"4de56f4e-3920-b22e-16ee-846f87025da8"},"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":"8a29d236-3a6f-3f04-6311-b6b6fe93475f"},"outputs":[],"source":"!head ../input/clicks_train.csv"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"a8ac875e-539a-e02d-5caf-427d12e62c44"},"outputs":[],"source":"!head ../input/events.csv"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"7d888f66-9e56-61b7-5912-4a048a3f9f30"},"outputs":[],"source":"!head ../input/promoted_content.csv"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"48488755-09ef-5eee-e915-43d8a9a1888c"},"outputs":[],"source":"!head ../input/documents_categories.csv"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"e7207ae5-29d8-73f1-cdf2-bbb538ca2fc1"},"outputs":[],"source":"!head ../input/events.csv"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"2504172f-f98e-c57e-0f1a-77461503eea0"},"outputs":[],"source":"!head ../input/documents_meta.csv"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"76fac2c6-e140-7e16-b62f-97bf494d431e"},"outputs":[],"source":""},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"9060044a-858e-adea-3334-f7bcb098e66f"},"outputs":[],"source":""},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"25dd980d-8097-c2c7-2dfe-56ca2b63091c"},"outputs":[],"source":""},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"f73498c7-4002-9975-a3bf-094c13c61a6a"},"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}