msmfsd

// Async/Await requirements: Latest Chrome/FF browser or Babel: https://babeljs.io/docs/plugins/transform-async-to-generator/
// Fetch requirements: Latest Chrome/FF browser or Github fetch polyfill: https://github.com/github/fetch

// async function
async function fetchAsync () {
  // await response of fetch call
  let response = await fetch('https://api.github.com');
  // only proceed once promise is resolved
  let data = await response.json();
  // only proceed once second promise is resolved

bradmontgomery

"""
Simple example of building your own context manager.

Resources:

- http://preshing.com/20110920/the-python-with-statement-by-example/
- https://docs.python.org/3/library/contextlib.html
- PEP 343 -- the "with" statement: https://www.python.org/dev/peps/pep-0343/

"""

mick-t

LDAP_SERVER = "ldaps://my-ldap-server.com/"
LDAP_BASE = "dc=my-ldap-server,dc=com"

def users_ldap_groups(uid):
    """ Returns a list of the groups that the uid is a member of.
        Returns False if it can't find the uid or throws an exception.

        It's up to the caller to ensure that the UID they're using exists!
    """
    logger.debug("uid: ", uid)

angstwad

import collections

def dict_merge(dct, merge_dct):
    """ Recursive dict merge. Inspired by :meth:``dict.update()``, instead of
    updating only top-level keys, dict_merge recurses down into dicts nested
    to an arbitrary depth, updating keys. The ``merge_dct`` is merged into
    ``dct``.

    :param dct: dict onto which the merge is executed
    :param merge_dct: dct merged into dct

drorata

# Initialize the scroll
page = es.search(
  index = 'yourIndex',
  doc_type = 'yourType',
  scroll = '2m',
  search_type = 'scan',
  size = 1000,
  body = {
    # Your query's body
    })

nmcv

# A minimal SQLite shell for experiments

import sqlite3

con = sqlite3.connect(":memory:")
con.isolation_level = None
cur = con.cursor()

buffer = ""

iamatypeofwalrus

What

Roll your own iPython Notebook server with Amazon Web Services (EC2) using their Free Tier.

What are we using? What do you need?

• An active AWS account. First time sign-ups are eligible for the free tier for a year
• One Micro Tier EC2 Instance
• With AWS we will use the stock Ubuntu Server AMI and customize it.
• Anaconda for Python.
• Coffee/Beer/Time

iros

Title

<Additional information about your API call. Try to use verbs that match both request type (fetching vs modifying) and plurality (one vs multiple).>

• URL

  <The URL Structure (path only, no root url)>

• Method:

ryanwitt

from django.http import HttpResponseRedirect
from django.conf import settings
from re import compile

EXEMPT_URLS = [compile(settings.LOGIN_URL.lstrip('/'))]
if hasattr(settings, 'LOGIN_EXEMPT_URLS'):
    EXEMPT_URLS += [compile(expr) for expr in settings.LOGIN_EXEMPT_URLS]

class LoginRequiredMiddleware:
    """