fxn

# Compresses all .js and .css files under the assets path.
namespace :deploy do
  # It is important that we execute this after :normalize_assets because
  # ngx_http_gzip_static_module recommends that compressed and uncompressed
  # variants have the same mtime. Note that gzip(1) sets the mtime of the
  # compressed file after the original one automatically.
  after :normalize_assets, :gzip_assets do
    on release_roles(fetch(:assets_roles)) do
      assets_path = release_path.join('public', fetch(:assets_prefix))
      within assets_path do

brianhempel

require "net/http"

def start_server
  # Remove the X to enable the parameters for tuning.
  # These are the default values as of Ruby 2.2.0.
  @child = spawn(<<-EOC.split.join(" "))
    XRUBY_GC_HEAP_FREE_SLOTS=4096
    XRUBY_GC_HEAP_INIT_SLOTS=10000
    XRUBY_GC_HEAP_GROWTH_FACTOR=1.8
    XRUBY_GC_HEAP_GROWTH_MAX_SLOTS=0

frznk-tank

ruby '2.2.0'
source 'https://rubygems.org'

...

gem 'font-awesome-rails'

gbuesing

UPDATE a fork of this gist has been used as a starting point for a community-maintained "awesome" list: machine-learning-with-ruby Please look here for the most up-to-date info!

Resources for Machine Learning in Ruby

Gems

• liblinear-ruby: Ruby interface to LIBLINEAR using SWIG

corbanb

// Sublime Text - Build System for Javascript
{
	"cmd": ["node", "$file"],
	"selector": "source.js"
}

willprice

# Ruby is our language as asciidoctor is a ruby gem.
lang: ruby
before_install:
  - sudo apt-get install pandoc
  - gem install asciidoctor
script:
  - make
after_success:
  - .travis/push.sh
env:

adrianorsouza

Launch Sublime Text from the command line on OSX

Sublime Text includes a command line tool, subl, to work with files on the command line. This can be used to open files and projects in Sublime Text, as well working as an EDITOR for unix tools, such as git and subversion.

Requirements

• Sublime text 2 or 3 installed in your system within Applications folder

Setup

JamesMGreene

Initialize

gitflow	git
git flow init	git init
	git commit --allow-empty -m "Initial commit"
	git checkout -b develop master

Connect to the remote repository

jodosha

source 'https://rubygems.org'

gem 'rake'
gem 'lotus-router'
gem 'lotus-controller'
gem 'lotus-view'

group :test do
  gem 'rspec'
  gem 'capybara'

denji

Moved to git-repository: https://github.com/denji/awesome-http-benchmark

Tools

Located in alphabetical order (not prefer)

• ab – slow and single threaded, written in C
• apib – most of the features of ApacheBench (ab), also designed as a more modern replacement, written in C
• autocannon – fast HTTP/1.1 benchmarking tool written in Node.js
• baloo – Expressive end-to-end HTTP API testing made easy, written in Go (golang)