elsapet

// In our DOM ready

var poets = new Bloodhound({
  datumTokenizer: Bloodhound.tokenizers.obj.whitespace('name'),
  queryTokenizer: Bloodhound.tokenizers.whitespace,
  limit:10,
  prefetch: {
    // url points to a json file that contains an array of author names
    // e.g. ['Baudelaire', 'Beckett']
    url: './poets.json',

elsapet

<div id="multiple-datasets">
  <input class="typeahead" type="text" placeholder="Poets and Philosophers">
</div>

elsapet

<%= semantic_nested_form_for [:admin, @user], :html => {:multipart => true} do |f| %>

  <%= f.inputs 'User Information' do %>
    <%= f.input :name %>
    <%= f.input :age %>
  <% end %>

  <%= f.inputs 'User's Pet' for: [:pet, f.object.pet || Pet.new] do |pet| %>
    <%= pet.input :name %>
  <% end %>

elsapet

# collect the even numbers in a given range

# 1. using regular py

evens = []
for i in range(1, 10):
  if i % 2 == 0:
    evens.append(i)
    
# 2. using list comprehension

elsapet

[ITEM for ITEM in RANGE if CONDITION]

elsapet

n = 100
whole_factors = [i for i in range(1, n) if 0 == len([j for j in range(2, i-1) if i%j == 0])]
print whole_factors # => [1, 2, 3, 5, 7, ..., 97] 

elsapet

n = 100
primes = (1..n).map{ |i| i if (2..i-1).map{ |j| j if i%j == 0}.compact.count == 0}.compact
puts primes.inspect # => [1, 2, 3, 5, 7, ..., 97]

elsapet

n = 100000
primes = (0..n).select{ |i| i if (2..i-1).select{ |j| j if i%j == 0}.count == 0}
puts primes.inspect # => [1, 2, 3, 5, 7, ..., 9973]

elsapet

class PaginatingDecorator < Draper::CollectionDecorator
  delegate :current_page, :total_pages, :limit_value
end

elsapet

class AnimalsController < ApplicationController
  inherit_resources
  
  ..
  
  protected
  
  def build_resource_params
    animal_params = params.fetch(:animal, {}).permit(:name, :age, :family)
    [prepare_animal_params(animal_params)]