tikazyq
/ test_go_performance.go
Last active
June 3, 2021 16:17
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| package main | |
| import ( | |
| "fmt" | |
| "time" | |
| ) | |
| func main() { | |
| st := time.Now() | |
| n := 100000000 |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/> | |
| <title>Prosper Loan Data Exploration by Yeqing Zhang</title> | |
| <script type="text/javascript"> | |
| window.onload = function() { | |
| var imgs = document.getElementsByTagName('img'), i, img; |
tikazyq
/ graph_analysis_windeln
Created
May 1, 2015 21:40
Graph Analysis of Domains Referring to Windeln.de
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| {"nbformat_minor": 0, "cells": [{"source": "#Graph Analysis of Domains Referring to Windeln.de", "cell_type": "markdown", "metadata": {}}, {"source": "This notebook analyses the domains that are linking to Windeln.de and attempting to help understand the relationship between those websites.", "cell_type": "markdown", "metadata": {}}, {"execution_count": 13, "cell_type": "code", "source": "import os\nimport re\nfrom pandas import *\nimport numpy as np\nimport networkx as nx\nimport matplotlib.pyplot as plt\nfrom mpld3 import display\n\n%matplotlib inline", "outputs": [], "metadata": {"collapsed": false, "trusted": true}}, {"source": "###Read Raw Data\nData produced by backlinks.py", "cell_type": "markdown", "metadata": {}}, {"execution_count": 17, "cell_type": "code", "source": "df = read_csv('C:/workspace/analysis_reporting/joe/milk_china/anchor_urls.csv', sep='\\t')\n# df.head()", "outputs": [], "metadata": {"collapsed": false, "trusted": true}}, {"execution_count": 15, "cell_type": "code", "source": "df_dom |
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| {"nbformat_minor": 0, "cells": [{"source": "#Windeln Backlinks Data", "cell_type": "markdown", "metadata": {}}, {"source": "The script is for fetching and cleaning backlinks data for Windeln so that we can futher analyze the referral sites behind Windeln.de.", "cell_type": "markdown", "metadata": {}}, {"execution_count": 1, "cell_type": "code", "source": "from urlparse import urlparse\nfrom lxml import etree\nimport json\nimport re\nimport os\n\nimport requests\nfrom bs4 import BeautifulSoup\nfrom pandas import *\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\n%matplotlib inline", "outputs": [], "metadata": {"collapsed": false, "trusted": true}}, {"source": "##Backlinks Data", "cell_type": "markdown", "metadata": {}}, {"source": "The data is downloaded from http://webmeup.com/.", "cell_type": "markdown", "metadata": {}}, {"execution_count": 3, "cell_type": "code", "source": "# data downloaded from http://webmeup.com/\nfpath = 'C:/workspace/analysis_reporting/joe/milk_china/winde |