{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"eb019a3b-293a-8e6a-1af2-54943dd5aa40"},"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":"d95b44e6-0651-cf26-b848-78042812f028"},"outputs":[],"source":"df = pd.read_csv('page_views.csv')"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"8ec7fffd-15d5-4015-9d70-648c2ede7476"},"outputs":[],"source":"import pip\n\nfor package in sorted(pip.get_installed_distributions(), key=lambda package: package.project_name):\n    print(\"{} ({})\".format(package.project_name, package.version))\n"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"87998d9f-7624-b083-afa1-5b127736fdc3"},"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}