{"nbformat_minor": 1, "metadata": {"language_info": {"file_extension": ".py", "codemirror_mode": {"version": 3, "name": "ipython"}, "name": "python", "mimetype": "text/x-python", "version": "3.6.1", "pygments_lexer": "ipython3", "nbconvert_exporter": "python"}, "kernelspec": {"language": "python", "display_name": "Python 3", "name": "python3"}}, "nbformat": 4, "cells": [{"cell_type": "code", "execution_count": null, "metadata": {"collapsed": true, "_uuid": "a88c3360b4fce2c6291e386cdf319ae3d051230e", "_cell_guid": "60d73e1b-f486-4824-bdbc-7c50c6def2ac"}, "source": ["import numpy as np\n", "import pandas as pd\n", "import xgboost as xgb"], "outputs": []}, {"cell_type": "code", "execution_count": null, "metadata": {"scrolled": true, "_uuid": "dbfd3ef48457ce58c5fe7851eedeb018abdcc6dc", "_cell_guid": "595bca8f-3ca3-4a6a-ba15-038751a4422c"}, "source": ["print(np)\n", "user_log=pd.read_csv('../input/user_logs.csv',chunksize=1000000)\n", "\n"], "outputs": []}, {"cell_type": "code", "execution_count": null, "metadata": {}, "source": ["print(user_log)"], "outputs": []}, {"cell_type": "code", "execution_count": null, "metadata": {}, "source": ["user_log1=user_log.__next__()"], "outputs": []}, {"cell_type": "code", "execution_count": null, "metadata": {}, "source": ["print(user_l\n", "      og1.head(5))"], "outputs": []}]}