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@hilios
hilios / gist:1284170
Created October 13, 2011 12:57
Nginx YSlow performance boost w/ Gzip + Far future expires Header
server {
# output compression saves bandwidth
gzip on;
gzip_http_version 1.1;
gzip_vary on;
gzip_comp_level 6;
gzip_proxied any;
gzip_types text/plain text/html text/css application/json application/x-javascript text/xml application/xml application/xml+rss text/javascript;
# make sure gzip does not lose large gzipped js or css files
@ahoward
ahoward / tail-f.rb
Created March 7, 2012 16:44
completely k.i.s.s technique to do realtime log tailing in a live rails' app from the browser
### blogged @ http://dojo4.com/blog/easy-cheasy-realtime-log-tailing-in-a-rails-admin-view
### the su controller action
def logs
log = File.join(Rails.root, "log", "#{ Rails.env }.log")
@lines = `tail -1024 #{ log }`.split(/\n/).reverse
@nono
nono / blowfish.rb
Created June 26, 2012 10:57
How to encrypt and decrypt Blowfish in Ruby 1.9 with https://github.com/drench/blowfish.js
#!/usr/bin/env ruby
require "openssl"
class BF < Struct.new(:key, :pad_with_spaces)
def encrypt(str)
cipher = OpenSSL::Cipher.new('bf-ecb').encrypt
if pad_with_spaces
str += " " until str.bytesize % 8 == 0
cipher.padding = 0
@bf4
bf4 / Gemfile
Created July 2, 2013 18:36
Rails lograge and logstash request logging
gem 'lograge' # more readable logs
gem 'logstash-event' # for logstash json format
gem 'mono_logger' # threadsafe logging
@josephspurrier
josephspurrier / values_pointers.go
Last active November 16, 2024 13:35
Golang - Asterisk and Ampersand Cheatsheet
/*
********************************************************************************
Golang - Asterisk and Ampersand Cheatsheet
********************************************************************************
Also available at: https://play.golang.org/p/lNpnS9j1ma
Allowed:
--------
p := Person{"Steve", 28} stores the value
@stewartpark
stewartpark / xor.py
Created October 12, 2015 08:17
Simple XOR learning with keras
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation
from keras.optimizers import SGD
import numpy as np
X = np.array([[0,0],[0,1],[1,0],[1,1]])
y = np.array([[0],[1],[1],[0]])
model = Sequential()
model.add(Dense(8, input_dim=2))
@ulve
ulve / phoenixprodstart.sh
Created February 2, 2016 20:16
Run phoenix in production mode
MIX_ENV=prod mix compile.protocols
MIX_ENV=prod PORT=4001 elixir -pa _build/prod/consolidated -S mix phoenix.server