ngcrawford

#!/usr/bin/env python
# encoding: utf-8

import multiprocessing
from textwrap import dedent
from itertools import izip_longest

def process_chunk(d):
	"""Replace this with your own function
	that processes data one line at a

oodavid

Restore MySQL from Amazon S3

This is a hands-on way to pull down a set of MySQL dumps from Amazon S3 and restore your database with it

Sister Document - Backup MySQL to Amazon S3 - read that first

1 - Set your MySQL password and S3 bucket, make a temp dir, get a list of snapshots

# Set our variables

export mysqlpass="ROOTPASSWORD"

oodavid

Backup MySQL to Amazon S3

This is a simple way to backup your MySQL tables to Amazon S3 for a nightly backup - this is all to be done on your server :-)

Sister Document - Restore MySQL from Amazon S3 - read that next

1 - Install s3cmd

this is for Centos 5.6, see http://s3tools.org/repositories for other systems like ubuntu etc

ogrisel

bemasher

<?xml version="1.0" encoding="UTF-8" ?>
<Data>
	<Series>
		<id>83462</id>
		<Actors>|Nathan Fillion|Stana Katic|Molly C. Quinn|Jon Huertas|Seamus Dever|Tamala Jones|Susan Sullivan|Ruben Santiago-Hudson|Monet Mazur|</Actors>
		<Airs_DayOfWeek>Monday</Airs_DayOfWeek>
		<Airs_Time>10:00 PM</Airs_Time>
		<ContentRating>TV-PG</ContentRating>
		<FirstAired>2009-03-09</FirstAired>
		<Genre>|Drama|</Genre>

avalanche123

:+1:
:-1:
:airplane:
:art:
:bear:
:beer:
:bike:
:bomb:
:book:
:bulb:

alexbowe

import nltk

text = """The Buddha, the Godhead, resides quite as comfortably in the circuits of a digital
computer or the gears of a cycle transmission as he does at the top of a mountain
or in the petals of a flower. To think otherwise is to demean the Buddha...which is
to demean oneself."""

# Used when tokenizing words
sentence_re = r'''(?x)      # set flag to allow verbose regexps
      ([A-Z])(\.[A-Z])+\.?  # abbreviations, e.g. U.S.A.

mblondel

# Mathieu Blondel, September 2010
# License: BSD 3 clause

import numpy as np
from numpy import linalg
import cvxopt
import cvxopt.solvers

def linear_kernel(x1, x2):
    return np.dot(x1, x2)