fluffybeing

from celery import Celery
from app import create_app

def create_celery_app(app=None):
	app = app or create_app('default')
	celery = Celery(__name__, broker=app.config['CELERY_BROKER_URL'])
	celery.conf.update(app.config)
	Taskbase = celery.Task

	class ContextTask(Taskbase):

fluffybeing

from app import mail, db
from celery.signals import task_postrun
from flask.ext.mail import Message
from app import create_celery_app
from celery.task.schedules import crontab
from celery.decorators import periodic_task
from celery.utils.log import get_task_logger
from datetime import datetime
import requests

fluffybeing

import time
from SECEdgar.crawler import SecCrawler

def get_filings():
    t1 = time.time()

    # create object
    seccrawler = SecCrawler()

    companyCode = 'AAPL'    # company code for apple 

fluffybeing

How to set up stress-free SSL on an OS X development machine

One of the best ways to reduce complexity (read: stress) in web development is to minimize the differences between your development and production environments. After being frustrated by attempts to unify the approach to SSL on my local machine and in production, I searched for a workflow that would make the protocol invisible to me between all environments.

Most workflows make the following compromises:

• Use HTTPS in production but HTTP locally. This is annoying because it makes the environments inconsistent, and the protocol choices leak up into the stack. For example, your web application needs to understand the underlying protocol when using the secure flag for cookies. If you don't get this right, your HTTP development server won't be able to read the cookies it writes, or worse, your HTTPS production server could pass sensitive cookies over an insecure connection.

• Use production SSL certificates locally. This is annoying

fluffybeing

import subprocess
import unittest

from scrapy.crawler import Crawler
from scrapy.utils.project import get_project_settings
from twisted.internet import reactor, task

from my_project.spiders.spider1 import Spider1
from my_project.spiders.spider2 import Spider2

fluffybeing

#!/bin/bash

mkdir my_project
cd my_project

echo " . . . Downloading file stanford-ner-2014-08-27.zip"
# NOTE: need to update link for further versions
wget http://nlp.stanford.edu/software/stanford-ner-2014-08-27.zip

echo " . . . Unpacking stanford-ner-2014-08-27.zip"

fluffybeing

// Just before switching jobs:
// Add one of these.
// Preferably into the same commit where you do a large merge.
//
// This started as a tweet with a joke of "C++ pro-tip: #define private public",
// and then it quickly escalated into more and more evil suggestions.
// I've tried to capture interesting suggestions here.
//
// Contributors: @r2d2rigo, @joeldevahl, @msinilo, @_Humus_,
// @YuriyODonnell, @rygorous, @cmuratori, @mike_acton, @grumpygiant,

fluffybeing

PS: If you liked this talk or like this concept, let's chat about iOS development at Stitch Fix! #shamelessplug

Protocol-Oriented Programming in Swift

Speaker: David Abrahams. (Tech lead for Swift standard library)

• "Crusty" is an old-school programmer who doesn't trust IDE's, debuggers, programming fads. He's cynical, grumpy.

• OOP has been around since the 1970's. It's not actually new.

• Classes are Awesome

  • Encapsulation
  • Access control

fluffybeing

#!/bin/bash

usage() {
  cat << EOF
Usage: $0 [OPTION]... COMMAND
Execute the given command in a way that works safely with cron. This should
typically be used inside of a cron job definition like so:
* * * * * $(which "$0") [OPTION]... COMMAND

Arguments:

fluffybeing

// In languages like Python and Haskell, we can write list comprehension syntax like
// super simply to generate complex lists. Below, for example, we find all numbers that are
// the product of two sides of a triangle.
//   [a * b | a <- [1..10], b <- [1..10], c <- [1..10], a * a + b * b == c * c]

// Why is this called nondeterministic computation? Because we essentially try ALL possible combinations
// of these values (a,b) and--you can imagine--run them all simultanously and get the result that matches the predicate.
// Now, obviously, this doesn't all happen at the same time, but that's the idea behind the nondeterminism.

// Let's examine how we can get a similiar result in Swift! We'll start super simple and work