- 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
group :production do | |
gem 'unicorn' | |
# Enable gzip compression on heroku, but don't compress images. | |
gem 'heroku-deflater' | |
# Heroku injects it if it's not in there already | |
gem 'rails_12factor' | |
end |
// all portrait | |
$iphone-portrait: em(320) | |
$samsung-galaxy-portrait: em(380) | |
$kindle-portrait: em(600) | |
$ipad-portrait: em(768) | |
// all landscape | |
$iphone-landscape: em(480) |
Requires:
-
Homebrew (http://mxcl.github.io/homebrew/)
-
Ruby
Verify Homebrew is not sick:
brew doctor
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.
class Account < ActiveRecord::Base | |
def self.search(name = nil) | |
# search logic | |
end | |
end |
require 'digest' | |
# = simple_google_analytics.rb | |
# | |
# Chris Le <chris at iamchrisle dot com> | |
# | |
# This module is an wrapper to export data from Google Analytics as a flattened | |
# hash suitable for database storage. It does not require any other gems other | |
# than 'oauth'. I used this simply to get metrics and directly store them in | |
# a database. |
@font-face { | |
font-family: 'EntypoRegular'; | |
src: url('font/entypo.eot'); | |
src: url('font/entypo.eot?#iefix') format('embedded-opentype'), | |
url('font/entypo.woff') format('woff'), | |
url('font/entypo.ttf') format('truetype'), | |
url('font/entypo.svg#EntypoRegular') format('svg'); | |
font-weight: normal; | |
font-style: normal; | |
} |