| require 'pp' | |
| puts "Seeding for env '#{Rails.env}'" | |
| # disable AR logger | |
| old_logger = ActiveRecord::Base.logger | |
| ActiveRecord::Base.logger = nil unless $VERBOSE | |
| env_seed_file = "#{Rails.root}/db/data/seed/#{Rails.env.downcase}/seeds.rb" | |
| # first load yaml files that is "base" loading |
its isn't core to RSpec. One the of the focuses of RSpec is on the documentation aspects of tests. Unfortunately, its often leads to documentation output that is essentially lies. Consider this spec:
User = Struct.new(:name, :email)
describe User do
subject { User.new("bob") }
its(:name) { should == "bob" }
end
#Heroku, Ruby on Rails and PhantomJS
In this post, I’m going to show you how to modify an existing Ruby on Rails app running on Heroku’s Cedar stack to use PhantomJS for screen scraping. If you’ve never heard of PhantomJS, it’s a command-line WebKit-based browser (that supports JavaScript, cookies, etc.).
Let’s get started. This is a high-level overview of the required steps:
| #Make sure the postgres App is running on computer | |
| #Carrierwave works with ORM such as Active Record and Datamapper; | |
| rails new carrier_wave_app -d postgresql | |
| add production and development database to database.yml #make sure you do not add one of the fields to production | |
| rails g scaffold art_galleries name:string location:string avatar:text #Also create the table in migrations folder; | |
| #Is it added to the protected attributes method in the controller; | |
| #Add root_to in the config.routes; | |
| gem 'carrierwave' | |
| rails generate uploader Avatar #Give you a class in app/uploaders/avatar_uploader.rb | |
| rails g migration add_avatar_to_art_galleries avatar:string |
List of papers (with links to the PDF versions) mentioned in Philip Wadler's presentation on Propositions as Types at StrangeLoop 2015 (https://www.youtube.com/watch?v=IOiZatlZtGU)
These are the Kickstarter Engineering and Data role definitions for both teams.
by Bjørn Friese
Beautiful is better than ugly. Explicit is better than implicit.
I frequently deal with collections of things in the programs I write. Collections of droids, jedis, planets, lightsabers, starfighters, etc. When programming in Python, these collections of things are usually represented as lists, sets and dictionaries. Oftentimes, what I want to do with collections is to transform them in various ways. Comprehensions is a powerful syntax for doing just that. I use them extensively, and it's one of the things that keep me coming back to Python. Let me show you a few examples of the incredible usefulness of comprehensions.
Recently CSS has got a lot of negativity. But I would like to defend it and show, that with good naming convention CSS works pretty well.
My 3 developers team has just developed React.js application with 7668 lines of CSS (and just 2 !important).
During one year of development we had 0 issues with CSS. No refactoring typos, no style leaks, no performance problems, possibly, it is the most stable part of our application.
Here are main principles we use to write CSS for modern (IE11+) browsers:
| #!/usr/bin/env bash | |
| # Author: Daniel Draper | |
| # Credit: | |
| # - https://github.com/vdka/dotfiles/ | |
| # - https://github.com/mathiasbynens/dotfiles | |
| # Ask for the administrators password. | |
| sudo -v |
