camillewu90

Building an Insight project with Python, Flask, and Heroku

A common goal in Insight data science projects is to deploy one's work as an app. The recommended app is Flask due to its dynamic page construction and easy interoperability with SQL databases. Heroku is then a great choice for deployment as it interacts easily with Python and Flask.

However a lot of information is out-of-date or suboptimal. This project will document how I built my Insight project app using Python, Flask, and Heroku.

*This project is adapted from and enormously indebted to the excellent "Flask by Example" tutorial found here. Basically I take this tutorial a little less far, fix some errors and adapt it to the requirements of the Insight project.

Contents

camillewu90

import argparse
from pprint import pprint
from traceback import format_exc

import requests
import unicodecsv as csv
from lxml import html


def parse(brand):

camillewu90

#!/bin/bash
#####################################################
# Name: Bash CheatSheet for Mac OSX
# 
# A little overlook of the Bash basics
#
# Usage:
#
# Author: J. Le Coupanec
# Date: 2014/11/04

camillewu90

from lxml import html
import unicodecsv as csv
import requests
from time import sleep
import re
import argparse
import json


def parse(url):