{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"f91ca1f9-46a8-8090-68bb-3818e0eecdef"},"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":"cc5ef9d2-ca9e-57a9-5d14-73ad5819d0e4"},"outputs":[],"source":"A = open(\"../input/clicks_test.csv\")\nB = open(\"../input/clicks_train.csv\")\nC = open(\"../input/documents_categories.csv\")\nD = open(\"../input/documents_entities.csv\")\nE = open(\"../input/documents_meta.csv\")\nF = open(\"../input/documents_topics.csv\")\nG = open(\"../input/events.csv\")\nH = open(\"../input/page_views_sample.csv\")\nI = open(\"../input/promoted_content.csv\")\nJ = open(\"../input/sample_submission.csv\")"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"8fb13ab3-be79-f7c1-c8ce-cb06c786693c"},"outputs":[],"source":"print(\"A\")\nprint(A.readline())\nprint(A.readline())\nprint(\"B\")\nprint(B.readline())\nprint(B.readline())\nprint(\"C\")\nprint(C.readline())\nprint(C.readline())\nprint(\"D\")\nprint(D.readline())\nprint(D.readline())\nprint(\"E\")\nprint(E.readline())\nprint(E.readline())\nprint(\"F\")\nprint(F.readline())\nprint(F.readline())\nprint(\"G\")\nprint(G.readline())\nprint(G.readline())\nprint(\"H\")\nprint(H.readline())\nprint(H.readline())\nprint(\"I\")\nprint(I.readline())\nprint(I.readline())\nprint(\"J\")\nprint(J.readline())\nprint(J.readline())"}],"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}