tonyxh

import BaseHTTPServer
from SimpleHTTPServer import SimpleHTTPRequestHandler
import sys
import base64

key = ""

class AuthHandler(SimpleHTTPRequestHandler):
    ''' Main class to present webpages and authentication. '''
    def do_HEAD(self):

rstruber

import elasticsearch
import curator
import json

client = elasticsearch.Elasticsearch()
indices = curator.get_indices(client)

# Filter anything older than or equal to 3 days
_filter = curator.build_filter(kindOf='newer_than', value=3, time_unit='days', timestring='%Y.%m.%d')
indices = curator.apply_filter(indices, **_filter)

jtpaasch

# -*- coding: utf-8 -*-

"""A simple tool to document how to control AWS resources.

AWS AUTHENTICATION
-------------------

In order to run any of the code below, you need a profile with AWS credentials
set up on your computer. It's very easy to do this. Google how to configure
your profile with boto3, or visit the docs:

mdsrosa

from collections import defaultdict, deque


class Graph(object):
    def __init__(self):
        self.nodes = set()
        self.edges = defaultdict(list)
        self.distances = {}

    def add_node(self, value):

ziplus4

# -*- coding:utf8 -*-
import re

from flask import Flask

from flask_sqlalchemy import SQLAlchemy as BaseSQLAlchemy
from flask_sqlalchemy import _SignallingSession as BaseSignallingSession
from flask_sqlalchemy import orm, partial, get_state

from datetime import datetime

RichardBronosky

#! /usr/bin/env python
# -*- coding: utf-8 -*-
"""This module's docstring summary line.

This is a multi-line docstring. Paragraphs are separated with blank lines.
Lines conform to 79-column limit.

Module and packages names should be short, lower_case_with_underscores.
Notice that this in not PEP8-cheatsheet.py

vasanthk

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

hodzanassredin

import json
import datetime
import pytz
from random import randint
import logging
import time
import redis

main_prefix = "bqueues:"

jfsantos

from keras.models import Sequential
from keras.layers import Dense
from keras.utils.io_utils import HDF5Matrix
import numpy as np

def create_dataset():
    import h5py
    X = np.random.randn(200,10).astype('float32')
    y = np.random.randint(0, 2, size=(200,1))
    f = h5py.File('test.h5', 'w')

thomasdarimont

package demo;

import java.io.Serializable;
import java.security.Principal;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;
import java.util.UUID;