rdegges

sudo aptitude -y install nginx
cd /etc/nginx/sites-available
sudo rm default
sudo cat > jenkins
upstream app_server {
    server 127.0.0.1:8080 fail_timeout=0;
}

server {
    listen 80;

paulmillr

---------- Forwarded message ----------

From: Mark S. Miller <[email protected]>
Date: Tue, Nov 16, 2010 at 3:44 PM
Subject: "Future of Javascript" doc from our internal "JavaScript Summit"
last week
To: [email protected]

chitchcock

Stevey's Google Platforms Rant

I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.

I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real

jelies

package com.jelies.spring3tomcat7.config.quartz;

import org.quartz.spi.TriggerFiredBundle;
import org.springframework.beans.factory.config.AutowireCapableBeanFactory;
import org.springframework.context.ApplicationContext;
import org.springframework.context.ApplicationContextAware;
import org.springframework.scheduling.quartz.SpringBeanJobFactory;

/**
 * This JobFactory autowires automatically the created quartz bean with spring @Autowired dependencies.

wh1tney

Gist

This is a quick tutorial explaining how to get a static website hosted on Heroku.

Why do this?

Heroku hosts apps on the internet, not static websites. To get it to run your static portfolio, personal blog, etc., you need to trick Heroku into thinking your website is a PHP app. This 6-step tutorial will teach you how.

Basic Assumptions

mandiwise

// Reference: http://stackoverflow.com/questions/4822471/count-number-of-lines-in-a-git-repository

$ git ls-files | xargs wc -l

lambtron

title	sidebar
Segment Event Tracking for Shopify	Shopify

Segment makes it simple for Shopify merchants to integrate analytics, email marketing, advertising and optimization tools. Rather than installing all your tools individually, you just install Segment once. We collect your data, translate it, and route it to any tool you want to use with the flick of a switch. Using Segment as the single platform to manage and install your third-party services will save you time and money.

The guide below explains how to install Segment in your Shopify store. All you need to get up and running is copy and paste a few snippets of code into your theme editor. (You don't have to edit the code or be versed in JavaScript.) The following guide will show you how, step by step.

---

erikbern

# Note – this is not a bash script (some of the steps require reboot)
# I named it .sh just so Github does correct syntax highlighting.
#
# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5
#
# The CUDA part is mostly based on this excellent blog post:
# http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/

# Install various packages
sudo apt-get update

klappradla

Create Postgres / Postgis Server EC2 Box

Launch Ubuntu instance

1. Click on Launch Instance` button
2. Choose Ubuntu Server 14.04 LTS (HVM), SSD Volume Type
3. Configure Security Group
   In step 6 Configure Security Group add the rule:
   Type: PostgreSQL
   Protocol: TCP
   PortRange: 5432 (default postgres port)

sthomp

def load_pool3_data():
  X_test_file = 'X_test_20160212-00:06:14.npy'
  y_test_file = 'y_test_20160212-00:06:14.npy'
  X_train_file = 'X_train_20160212-00:06:14.npy'
  y_train_file = 'y_train_20160212-00:06:14.npy'
  return np.load(X_train_file), np.load(y_train_file), np.load(X_test_file), np.load(y_test_file)
  
def batch_pool3_features(sess,X_input):
  """