aurthurm

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import multiprocessing
import re
import threading
import time

LAST_TIMESTAMP = -1
SEQUENCE = 0

aurthurm

"""
The SQLAlchemy Shell.

This is just a wrapper for code.InteractiveConsole with some useful
defaults for using SQLAlchemy
"""

import os
import sys
from code import InteractiveConsole

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from sqlalchemy import (String,
                        Integer,
                        engine_from_config,
                        Column)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

Base_1 = declarative_base()

Base_2 = declarative_base()

aurthurm

# -*- coding:utf8 -*-
import re

from flask import Flask

from flask_sqlalchemy import SQLAlchemy as BaseSQLAlchemy
from flask_sqlalchemy import _SignallingSession as BaseSignallingSession
from flask_sqlalchemy import orm, partial, get_state

from datetime import datetime

aurthurm

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

aurthurm

'''
Convert Yelp Academic Dataset from JSON to CSV

Requires Pandas (https://pypi.python.org/pypi/pandas)

By Paul Butler, No Rights Reserved
'''

import json
import pandas as pd

aurthurm

library(plyr)

find_zones <- function(x) {
  x.mean <- mean(x)
  x.sd <- sd(x)
  boundaries <- seq(-4, 4)
  # creates a set of zones for each point in x
  zones <- sapply(boundaries, function(i) {
    i * rep(x.sd, length(x))
  })