Integralist

curl --header 'Authorization: token INSERTACCESSTOKENHERE' \
     --header 'Accept: application/vnd.github.v3.raw' \
     --remote-name \
     --location https://api.github.com/repos/owner/repo/contents/path

# Example...

TOKEN="INSERTACCESSTOKENHERE"
OWNER="BBC-News"
REPO="responsive-news"

yong27

import multiprocessing
import pandas as pd
import numpy as np

def _apply_df(args):
    df, func, kwargs = args
    return df.apply(func, **kwargs)

def apply_by_multiprocessing(df, func, **kwargs):
    workers = kwargs.pop('workers')

schlamar

import logging
import multiprocessing
import time

import mplog

FORMAT = '%(asctime)s - %(processName)s - %(levelname)s - %(message)s'
logging.basicConfig(level=logging.DEBUG, format=FORMAT)
existing_logger = logging.getLogger('x')

davidbalbert

brew install qt        # should already be done
brew install qwt       # should already be done
brew install portaudio # should already be done

brew install wget # makes some downloading easier

# set up your virtualenv (`workon friture` if you've already created it)
mkvirtualenv friture

cd /tmp

powerlim2

# coding=UTF8
#########################################################################
# This class is to help sklearn to handle statistical process           #
# Author: Joon Lim from Master of Science in Analytics at Northwestern  #
# Date: 04.23.2013                                                      #
#########################################################################

''' this Module is built on top of numpy and sklearn. '''

    

gagnec

#!/usr/bin/env python26
import logging
import pika

logging.basicConfig()


class Consumer(object):
    """
    A RabbitMQ topic exchange consumer that will call the specified function

techniq

from datetime import datetime
from sqlalchemy import Column, Integer, DateTime, ForeignKey
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declared_attr
from flask_security import current_user


class AuditMixin(object):
    created_at = Column(DateTime, default=datetime.now)
    updated_at = Column(DateTime, default=datetime.now, onupdate=datetime.now)

minrk

flopezluis

import logging
import pika
from threading import Timer

BATCH_SIZE = 100
LOG_FORMAT = ('%(levelname) -10s %(asctime)s %(name) -30s %(funcName) '
              '-35s %(lineno) -5d: %(message)s')
LOGGER = logging.getLogger(__name__)

quiver

#!/usr/bin/env python
# http://www.rabbitmq.com/tutorials/tutorial-two-python.html
import pika
import sys

connection = pika.BlockingConnection(pika.ConnectionParameters(
        host='localhost'))
channel = connection.channel()

message = ' '.join(sys.argv[1:]) or "Hello World!"