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from bs4 import BeautifulSoup
import requests
import os


def get_episode_names(season):
    episodes = {}
    print "Making request..."
    url = "https://en.wikipedia.org/wiki/Friends_(season_%s)#Episodes" % season
    print url

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// Converts an ArrayBuffer directly to base64, without any intermediate 'convert to string then
// use window.btoa' step. According to my tests, this appears to be a faster approach:
// http://jsperf.com/encoding-xhr-image-data/5

function base64ArrayBuffer(arrayBuffer) {
  var base64    = ''
  var encodings = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'

  var bytes         = new Uint8Array(arrayBuffer)
  var byteLength    = bytes.byteLength

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# Source: http://stackoverflow.com/questions/17581731/parsing-suds-soap-complex-data-type-into-python-dict

def basic_sobject_to_dict(obj):
    """Converts suds object to dict very quickly.
    Does not serialize date time or normalize key case.
    :param obj: suds object
    :return: dict object
    """
    if not hasattr(obj, '__keylist__'):
        return obj

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import os
from datetime import datetime
from slacker import Slacker

from dateutil.relativedelta import relativedelta
import requests
from requests.auth import HTTPBasicAuth

USERNAME = "prakashpp"
GITHUB_TOKEN = os.environ['GITHUB_ACCESS_TOKEN']

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"""Exports MySQL tables to CSV"""

import os

import pymysql
import pandas as pd


HOST = 'database_host_here'
DATABASE = 'database_name_here'

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#!/bin/sh

# Make sure to:
# 1) Name this file `backup.sh` and place it in /home/ubuntu
# 2) Run sudo apt-get install awscli to install the AWSCLI
# 3) Run aws configure (enter s3-authorized IAM user and specify region)
# 4) Fill in DB host + name
# 5) Create S3 bucket for the backups and fill it in below (set a lifecycle rule to expire files older than X days in the bucket)
# 6) Run chmod +x backup.sh
# 7) Test it out via ./backup.sh

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#!/bin/sh
set -e
HOST=localhost
DB=test-entd-products
COL=asimproducts

S3PATH="s3://mongodb-backups-test1-entd/$DB/$COL/"
S3BACKUP=$S3PATH`date +"%Y%m%d_%H%M%S"`.dump.gz
S3LATEST=$S3PATH"latest".dump.gz
/usr/bin/aws s3 mb $S3PATH

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Virtual Hosts on nginx (CSC309)

When hosting our web applications, we often have one public IP address (i.e., an IP address visible to the outside world) using which we want to host multiple web apps. For example, one may wants to host three different web apps respectively for example1.com, example2.com, and example1.com/images on the same machine using a single IP address.

How can we do that? Well, the good news is Internet browsers

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Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

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STATUS_CODES = {
    100: "100 Continue",
    101: "101 Switching Protocols",
    102: "102 Processing",

    200: "200 OK",
    201: "201 Created",
    202: "202 Accepted",
    203: "203 Non-authoritative Information",
    204: "204 No Content",