binarymatt

import random
f = open('raffle_recipients.txt')
recipient_list = set([i.strip() for i in f.readlines()])
chooser = random.SystemRandom()
print chooser.sample(recipient_list, 2)

binarymatt

def lookup(records, zipcode):
    new_list = []
    for item in record:
        new_list.append(item/global_lookup(zipcode))
    return new_list

map(lookup, [array of lists],[zipcode for range(len([array of lists])))

binarymatt

from pyres import ResQ

def job(queue, resq=ResQ(),debug=False):
    def wrapper(func):
        def enqueue(*args):
            if not debug:
                class_name = '%s.%s' % (func.__module__, func.__name__)
                resq.enqueue_from_string(class_name, queue, *args)
            else:
                return func(*args)

binarymatt

import sys, StringIO
import argparse
from boto.s3.connection import S3Connection
def read_in_chunks(file_object, chunk_size=1024):
    """Lazy function (generator) to read a file piece by piece.
    Default chunk size: 1k."""
    while True:
        data = file_object.read(chunk_size)
        if not data:
            break

binarymatt

import sys
def bad_line(line, index):
    if line[index] != 'U':
        return True

def process_file(f, index):
    index = int(index)
    bad_records = []
    for i,line in enumerate(f):
        if line.strip():

binarymatt

SELECT nspname || '.' || relname AS "relation",
    pg_size_pretty(pg_total_relation_size(C.oid)) AS "total_size"
  FROM pg_class C
  LEFT JOIN pg_namespace N ON (N.oid = C.relnamespace)
  WHERE nspname IN ('public')
    AND C.relkind <> 'i'
    AND nspname !~ '^pg_toast'
  ORDER BY pg_total_relation_size(C.oid) DESC

binarymatt

from redis import Redis
class RedisNS(Redis):
    def __init__(self, *args, **kwargs):
        self.namespace = None
        ns = kwargs.pop('namespace', None)
        if ns:
            self.namespace = '%s:' % ns
        super(RedisNS, self).__init__(*args, **kwargs)

    def _ns(self, key):

binarymatt

import os, os.path
import lib
import types

def init():
    #walk lib and import modules
    module_set = set([os.path.splitext(module)[0] for module in os.listdir('lib') if not module.startswith('__init__')])
    module_set = [m for m in module_set]
    mods = __import__('lib',globals(), locals(), module_set, -1)
    return mods, module_set

binarymatt

Who We Are

Stratasan is a Nashville-based startup in the healthcare sector that provides reporting tools that derive market intelligence from both public and private healthcare data. For example, we provide reports that show past and future market utilization (e.g., how many patients are expected to have heart problems in zip code 11105?), charges and costs, quality measures, etc.

Why You Should Talk To Us

• We are a startup in the early stages of growth, so your skills and input will have an impact on the company itself (for good or for evil).
• All of our products are on the open-source stack (Python/Django/Postgres/PostGIS), rare in healthcare.
• We do some really neat things with GIS (mapping), if you're into that.
• We concentrate on data (warehousing, analyzing, summarizing, etc), a burgeoning field.

binarymatt

from django.dispatch import Signal

charge_succeeded = Signal(providing_args=["event"])
charge_failed = Signal(providing_args=["event"])
charge_refunded = Signal(providing_args=["event"])
charge_disputed = Signal(providing_args=["event"])
customer_created = Signal(providing_args=["event"])
customer_updated = Signal(providing_args=["event"])
customer_deleted = Signal(providing_args=["event"])
customer_subscription_created = Signal(providing_args=["event"])