{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"eddd2cf6-661b-78e5-3cbc-0fed0fc59293"},"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":"5f2c4717-f767-54f4-b0dc-e78185213b35"},"outputs":[],"source":"import psutil\npsutil.virtual_memory()"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"d4d951ca-2ee6-7e5c-6a61-7ea26272e33a"},"outputs":[],"source":"print(check_output([\"free\", \"-g\"]).decode(\"utf-8\"))"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"2144beb0-0b5c-6cf8-9e6d-2a1c6d7e61f3"},"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":"3.6.0"}},"nbformat":4,"nbformat_minor":0}