artm

require 'set'

rows,columns = `stty size`.scan(/\d+/).map{|x| x.to_i}

# ruby 1.8.x compatible way to say "\u2743"
Flake = ["2743".to_i(16)].pack("U*")
# Shapes from far away to still closer
Snow = ['.','*',Flake]

# flake state descriptor

bds

subset(df, sprint.end.date %in% as.Date(c("2012-11-16", "2012-11-30")))

mattconnolly

module AuthHelper
  def http_login
    user = 'username'
    pw = 'password'
    request.env['HTTP_AUTHORIZATION'] = ActionController::HttpAuthentication::Basic.encode_credentials(user,pw)
  end
end

module AuthRequestHelper
  #

bds

awk -F ',' '{print NF}' foo.csv | uniq -c

davidjrice

# config/initializers/redcarpet.rb
module ActionView
  module Template::Handlers
    class Markdown
      class_attribute :default_format
      self.default_format = Mime::HTML

      def call(template)
        markdown = Redcarpet::Markdown.new(Redcarpet::Render::HTML, :autolink => true, :space_after_headers => true)
        markdown.render(template.source).html_safe.inspect

bds

IO.popen('pbcopy', 'r+') { |clipboard| clipboard.puts markdown.to_html }

jonathanmoore

Share Counts

I have always struggled with getting all the various share buttons from Facebook, Twitter, Google Plus, Pinterest, etc to align correctly and to not look like a tacky explosion of buttons. Seeing a number of sites rolling their own share buttons with counts, for example The Next Web I decided to look into the various APIs on how to simply return the share count.

If you want to roll up all of these into a single jQuery plugin check out Sharrre

Many of these API calls and methods are undocumented, so anticipate that they will change in the future. Also, if you are planning on rolling these out across a site I would recommend creating a simple endpoint that periodically caches results from all of the APIs so that you are not overloading the services will requests.

Twitter

rstacruz

Rails Models

Generating models

$ rails g model User

Associations

belongs_to

has_one

norman

#!/usr/bin/env ruby
=begin

= Geographic Searches With Postgres's Earthdistance and Cube Extensions

This program shows how to easily create a Postgres database that uses the Cube
and Earthdistance extensions to perform fast queries on geographic data.

Briefly, the problem this code solves is "show me all places within 50
kilometers of New York City."

sontek

#!/usr/bin/env python
import os
import random
import time
import platform

snowflakes = {}

try:
    # Windows Support