Oleg Fedoseev olegfedoseev

IE 7/8/9/10/11 Virtual machines from Microsoft

Due to the popularity of this Gist, and the work in keeping it updated via a Gist, all future updates will take place at the above location. Thanks!

Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

Picking the right architecture = Picking the right battles + Managing trade-offs

User cases (description of sequences of events that, taken together, lead to a system doing something useful)
- Who is going to use it?
- How are they going to use it?

	# Class for managing multiple servers or anything with start() and stop() methods

	class ServerRack(object):

	def __init__(self, servers):
	self.servers = servers

	def start(self):
	started = []
	try:

	<!DOCTYPE html>
	<html><head>
	<meta http-equiv="content-type" content="text/html; charset=UTF-8">
	<title>Хабрахабр / Профилактические работы</title>
	<meta charset="utf-8">
	<meta content="width=device-width,initial-scale=1,user-scalable=no" name="viewport">
	<style>
	@font-face {
	font-family: 'PT Sans';
	font-style: normal;

	server {
	....

	location ~ ^/x/(.*) {
	if ($args = "go-get=1") {
	add_header Content-Type text/html;
	return 200 '<meta name="go-import" content="$host/x/$1 git https://github.com/jessfraz/$1.git">';
	}
	return 302 https://github.com/jessfraz/$1;
	}