mmautner

var http = require('http'),
  , httpProxy = require('http-proxy')
  , express = require('express');

app = express();

var apiUrl = 'http://api.example.com:80';
var proxy = httpProxy.createProxyServer({target:apiUrl});

app.all('/api/*', function(req, res) {

mmautner

#!/usr/bin/env python

from pandas.io.sql import read_sql
import MySQLdb
from flask import Flask

app = Flask(__name__)
qry = "select * from adh_bayescomp_msn limit 100"
db = MySQLdb.connect(read_default_file="~/.my.cnf.quark")

mmautner

import json
import hashlib
import flask
import flask.ext.sqlalchemy
import flask.ext.restless
from flask.ext.restless import ProcessingException

app = flask.Flask(__name__)
app.config['DEBUG'] = True
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/test.db'

mmautner

# get count of users by birthday who've clicked in the last 7 days
results = session.query(User)\
                 .join(Click, User.id == Click.user_id)\
                 .filter(Click.created_at > datetime.datetime.today() - datetime.timedelta(days=7))\
                 .groupby(User.birthday)\
                 .orderby(User.birthday)\
                 .values(User.birthday,
                         func.count(func.distinct(User.id)))

mmautner

#!/usr/bin/env python

# Download your chat history
# http://stackoverflow.com/questions/8146970/accessing-chat-folder-in-python-using-imaplib

import imaplib

conn = imaplib.IMAP4_SSL("imap.gmail.com", 993)
conn.login("[email protected]", "password")
lb_list = conn.list()

mmautner

import MySQLdb
db = MySQLdb.connect(host="localhost", user="root", passwd="password", db="example")
c = MySQLdb.cursors.DictCursor(db)
c.execute("SELECT * FROM students")
result = c.fetchall()
for row in result:
    do_something(row['first_name'], row['last_name'], row['grade'], row['year'])
c.close()
 
# effectively eliminating that ugly index-referencing of the row results--