gist:476058

from django.core.exceptions import ValidationError
from django.db.models import Field, CharField

__all__ = ['MultiColumnField']

try:
    from hashlib import md5
except ImportError:
    from md5 import new as md5

inopinatus

console.log('Loading function');

const https = require('https');
const url = require('url');
const slack_url = 'https://hooks.slack.com/services/...';
const slack_req_opts = url.parse(slack_url);
slack_req_opts.method = 'POST';
slack_req_opts.headers = {
    'Content-Type': 'application/json'
};

zeke

# npm mirroring, courtesy @jbuck and Mozilla.
# See https://github.com/jbuck/npm-readonly-mirror

curl npmrc.zeke.xxx >> .npmrc
git add .npmrc
git commit -m "mozilla .npmrc"
git push heroku master

dcramer

class QuerySetDoubleIteration(Exception):
    "A QuerySet was iterated over twice, you probably want to list() it."
    pass


# "Skinny" here means we use iterator by default, rather than
# ballooning in memory.
class SkinnyManager(Manager):
    def get_query_set(self):
        return SkinnyQuerySet(self.model, using=self._db)

aisipos

import simplejson as json
import lxml

class objectJSONEncoder(json.JSONEncoder):
    """A specialized JSON encoder that can handle simple lxml objectify types
       >>> from lxml import objectify
       >>> obj = objectify.fromstring("<Book><price>1.50</price><author>W. Shakespeare</author></Book>")
       >>> objectJSONEncoder().encode(obj)
       '{"price": 1.5, "author": "W. Shakespeare"}'       
    """

lox

#!/bin/bash -eu

# Show all events for CF stack until update completes or fails.
cf_tail() {
  local stack="$1"
  local current
  local final_line
  local output
  local previous
  until echo "$current" | egrep -q "${stack}.*_(COMPLETE|FAILED)" ; do

JeffreyWay

alias server='open http://localhost:8000 && python -m SimpleHTTPServer'

mrspeaker

These are the scripts I use to create the playlists for the AI Class (available here: http://www.mrspeaker.net/2011/10/26/ai-class-playlists/). It's not pretty, but it works. I put them up here due to popular demand.

The first stage is to grab the video list HTML from YouTube and extract/sort the videos. This is done with the Video_ID_scraper.html file (instructions there).

Next, paste the video info into the YouTube_Playlist_Uploader.py script and it generates the playlist. It relies on the GData APIs so you need a dev key etc.

Any questions to mrspeaker@gmail.com

samuelclay

from PIL import Image
import scipy
import scipy.cluster
from pprint import pprint

image = Image.open('logo_newsblur_512.png')
NUM_CLUSTERS = 15

# Convert image into array of values for each point.
ar = scipy.misc.fromimage(image)

davidnunez

pm list packages -f