miebach

#!/usr/bin/env bash

# gist at https://gist.github.com/miebach/7391024

# save this file to .git/hooks/post-checkout 
# and also to .git/hooks/post-merge
# and make it executable

# Delete .pyc files and empty directories from root of project
cd ./$(git rev-parse --show-cdup)

tmountain

#!/usr/bin/ruby

require 'net/smtp'

FROM     = "[email protected]"
DOMAIN   = "example.com"
ACCOUNT  = "[email protected]"
PASSWORD = "secret"

def current_commit

floer32

#!/bin/bash

# Source: http://toomuchdata.com/2012/06/25/how-to-install-python-2-7-3-on-centos-6-2/

# Install stuff #
#################

# Install development tools and some misc. necessary packages
yum -y groupinstall "Development tools"
yum -y install zlib-devel  # gen'l reqs

tmountain

mysql> CREATE TABLE autoinc1 (col INT NOT NULL AUTO_INCREMENT PRIMARY KEY);
^[[AQuery OK, 0 rows affected (0.35 sec)

mysql> CREATE TABLE autoinc2 (col INT NOT NULL AUTO_INCREMENT PRIMARY KEY);
Query OK, 0 rows affected (0.17 sec)

mysql> CREATE TABLE autoinc3 (col INT NOT NULL AUTO_INCREMENT PRIMARY KEY);
Query OK, 0 rows affected (0.18 sec)

mysql> set @@auto_increment_offset=1;

nyov

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from rauth.service import OAuth1Service

# Create consumer key & secret in your Magento Admin interface
# For an API Guideline see:
# http://www.magentocommerce.com/api/rest/authentication/oauth_authentication.html
#
# Short Magento setup explanation:

ecogswell

Dealing With Large Collections in Magento

 - Collections are a good thing
   - make deailing with multiple data structure types easy: Standard and EAV
   - Lazy loading keep database traffic to a minimum

 - Collections have some shortcomings
   - When dealing with a large number of customers, getting EAV data can be difficult
   
The situation:

tmountain

doc1 = {
  "_id" : 1,
  "p" : [ { "name" : "travis",
            "age"  : "21" },
          { "name" : "bob",
            "age"  : "21" } ] }

doc2 = {
  "_id" : 2,
  "p" : [ { "name" : "mark",

dvarrazzo

#!/usr/bin/env python
"""An example of cursor dealing with prepared statements.

A cursor can be used as a regular one, but has also a prepare() statement. If
prepare() is called, execute() and executemany() can be used without query: in
this case the parameters are passed to the prepared statement. The functions
also execute the prepared statement if the query is the same prepared before.

Prepared statements aren't automatically deallocated when the cursor is
deleted, but are when the cursor is closed. For long-running sessions creating

marktheunissen

This playbook has been removed as it is now very outdated.

radzikowski

add to nginx.conf

add_header P3P 'policyref="/w3c/p3p.xml", CP="IDC DSP COR ADM DEVi TAIi PSA PSD IVAi IVDi CONi HIS OUR IND CNT", CP="CAO PSA OUR"'