- 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
# -*- immutable: string -*- | |
require 'benchmark' | |
class Request | |
def initialize(first, last, city, state, country) | |
@hash = | |
{ | |
'first' => first, | |
'last' => last, |
#simplest ruby program to read from arduino serial, | |
#using the SerialPort gem | |
#(http://rubygems.org/gems/serialport) | |
require "serialport" | |
require "pony" | |
#params for serial port | |
port_str = "/dev/tty.supershoesBT1-SPP" #may be different for you | |
#port_str = "/dev/tty.usbmodemfd121" #may be different for you |
#Getting Started
##Webpage:
<html>
<head>
<title>Testing with Ruby and Selenium WebDriver</title>
</head>
<body bgcolor="antiquewhite">
require 'rubygems' | |
require 'bundler/setup' | |
require 'aws-sdk' | |
# NOTE: require ENV[...] | |
# export AWS_ACCESS_KEY_ID='...' | |
# export AWS_SECRET_ACCESS_KEY='...' | |
# export AWS_REGION='ap-northeast-1' | |
s3 = AWS::S3.new |
ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats
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Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000
Originally published in June 2008
When hiring Ruby on Rails programmers, knowing the right questions to ask during an interview was a real challenge for me at first. In 30 minutes or less, it's difficult to get a solid read on a candidate's skill set without looking at code they've previously written. And in the corporate/enterprise world, I often don't have access to their previous work.
To ensure we hired competent ruby developers at my last job, I created a list of 15 ruby questions -- a ruby measuring stick if you will -- to select the cream of the crop that walked through our doors.
Candidates will typically give you a range of responses based on their experience and personality. So it's up to you to decide the correctness of their answer.
# Depth-first search (DFS) is an algorithm for traversing or | |
# searching a tree, tree structure, or graph. One starts at | |
# the root (selecting some node as the root in the graph case) | |
# and explores as far as possible along each branch before backtracking. | |
# | |
# A graph can be represented by its adjacency matrix G, | |
# where G[i][j] == 1 if there is an edge between | |
# vertices i and j and 0 otherwise. | |
# | |
# Below Graph in diagram http://i.imgur.com/sV1UzUn.png |