malarkey

When times get tough and people get nasty, you’ll need more than a killer smile. You’ll need a killer contract.

Used by 1000s of designers and developers Clarify what’s expected on both sides Helps build great relationships between you and your clients Plain and simple, no legal jargon Customisable to suit your business Used on countless web projects since 2008

…………………………

vitormil

the problem:

subl somefile
zsh: correct 'subl' to 'ul' [nyae]? n

node -v
zsh: correct 'node' to 'od' [nyae]? n
v0.8.16

quchen

13:15 <xQuasar>      | HASKELL IS FOR FUCKIN FAGGOTS. YOU'RE ALL A BUNCH OF 
                     | FUCKIN PUSSIES
13:15 <xQuasar>      | JAVASCRIPT FOR LIFE FAGS
13:16 <luite>        | hello
13:16 <ChongLi>      | somebody has a mental illness!
13:16 <merijn>       | Wow...I suddenly see the error of my ways and feel 
                     | compelled to write Node.js!
13:16 <genisage>     | hi
13:16 <luite>        | you might be pleased to learn that you can compile 
                     | haskell to javascript now

adamico

#app/inputs/collection_check_boxes_input.rb
class CollectionCheckBoxesInput < SimpleForm::Inputs::CollectionCheckBoxesInput
  def item_wrapper_class
    "checkbox-inline"
  end
end

burmjohn

#app/inputs/collection_check_boxes_input.rb
class CollectionCheckBoxesInput < SimpleForm::Inputs::CollectionCheckBoxesInput
  def item_wrapper_class
    "checkbox-inline"
  end
end

robulouski

#!/usr/bin/env python
#
# Very basic example of using Python and IMAP to iterate over emails in a
# gmail folder/label.  This code is released into the public domain.
#
# RKI July 2013
# http://www.voidynullness.net/blog/2013/07/25/gmail-email-with-python-via-imap/
#
import sys
import imaplib

debasishg

General Background and Overview

1. 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.
2. Models and Issues in Data Stream Systems
3. 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
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

JedWatson

// Simulate config options from your production environment by
// customising the .env file in your project's root folder.
require('dotenv')().load();

// Require keystone and i18n
var keystone = require('keystone'),
	i18n= require('i18n');

// Initialise Keystone with your project's configuration.
// See http://keystonejs.com/guide/config for available options

Nagyman

Workflows (States) in Django

I'm going to cover a simple, but effective, utility for managing state and transitions (aka workflow). We often need to store the state (status) of a model and it should only be in one state at a time.

Common Software Uses

• Publishing (Draft->Approved->Published->Expired->Deleted)

mlynch

angular.module('myApp.directives', [])

.directive('myCanvas', function() {
  return {
    // Angular needs to know what type of usage we want to allow for this (attribute, class name, or tag). 
    // For this example, a tag is great.
    restrict: 'E',
    
    // We want to replace the original custom tag with a template
    replace: true,