codersquid

{
  "properties": {
    "metadata": {
      "required": "true", 
      "type": "object", 
      "description": "collection metadata", 
      "properties": {
        "from": {
          "type": "number", 
          "description": "the starting record if currently showing a subset - see query key"

codersquid

{
  "rsvp_count": 50,
  "verbose": "true",
  "meetup_universal_constant": 0.65,
  "appetite": 2.5,
  "pizza_divisor": 8,
  "toppings_distribution": {
    "vegan": 0.03,
    "meat": 0.33,
    "veg": 0.45

codersquid

#!/usr/bin/env python
import os
import argparse
import csv
from datetime import datetime
import time


"""

codersquid

codersquid

#!/usr/bin/env python

import os, urllib

import bitly_api

import csvify
import secrets

class BitlyPresentations:

codersquid

{
    "3": {
        "abstract": "Lessons learned when building a client for a fully distributed system and trying to minimize context-switching pains when using multiple languages.", 
        "collection": "opensource_movies", 
        "conference": "EuroPython 2014", 
        "date": "2014-07-24T14:00:00+0200", 
        "description": "Last year we decided to create official clients for the most popular languages, Python included.\r\n\r\nSome of the goals were:\r\n\r\n* support the complete API of elasticsearch including all parameters\r\n* provide a 1-to-1 mapping to the rest API to avoid having opinions and provide a familiar interface to our users consistent across languages and evironments\r\n* degrade gracefully when the es cluster is changing (nodes dropping out or being added)\r\n* flexibility - allow users to customize and extend the clients easily to suit their, potentially unique, environment\r\n\r\nIn this talk I would like to take you through the process of designing said client, the challenges 

codersquid

#! /usr/bin/env python
# -*- coding: utf-8 -*-
import datetime
import internetarchive as ia
import os
from tempfile import NamedTemporaryFile


ACCESS_KEY = os.environ.get('IAS3_ACCESS_KEY') 
SECRET_KEY = os.environ.get('IAS3_SECRET_KEY')

codersquid

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

import re

def match_doi(query):
    """ match doi from query """
    # pattern is from a very helpful SO question. I <3 SO
    # http://stackoverflow.com/questions/27910/finding-a-doi-in-a-document-or-page
    match = re.search(r'\b(10[.][0-9]{4,}(?:[.][0-9]+)*/(?:(?!["&\'<>])\S)+)\b', query)

codersquid

#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import json
from steve.util import (
    get_from_config,
    get_project_config,
    save_json_files
)
from apiclient.discovery import build

codersquid

I hereby claim:

• I am codersquid on github.
• I am codersquid (https://keybase.io/codersquid) on keybase.
• I have a public key whose fingerprint is 73BE 52A0 5FC7 5DAC 8EAC 2911 E5FF 3C81 AD16 8F70

To claim this, I am signing this object:

{