Douglas Miranda douglasmiranda

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

Update HISTORY.md
Commit the changes:

git add HISTORY.md
git commit -m "Changelog for upcoming release 0.1.1."

Update version number (can also be minor or major)

bumpversion patch

People

`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`

Easy parallel python with concurrent.futures

As of version 3.3, python includes the very promising concurrent.futures module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.

For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.

We use the context manager thusly:

with concurrent.futures.ProcessPoolExecutor() as executor:

	class Field(object):

	def __init__(self, default=None):
	self.val = default

	def __get__(self, obj, objtype):
	if obj is None:
	return self.__class__
	else:
	return self.val

	class ColorizingStreamHandler(logging.StreamHandler):
	"""
	A stream handler which supports colorizing of console streams
	under Windows, Linux and Mac OS X.

	:param strm: The stream to colorize - typically ``sys.stdout``
	or ``sys.stderr``.
	"""

	# color names to indices

	LOGGING = {
	'version': 1,
	'disable_existing_loggers': True,
	'formatters': {
	'standard': {
	'format': "[%(asctime)s] %(levelname)s [%(name)s.%(funcName)s:%(lineno)d] %(message)s",
	'datefmt': "%d/%b/%Y %H:%M:%S"
	},
	},
	'handlers': {

	import sys
	import collections
	import gridfs
	import io
	import psycopg2
	import pymongo
	import random
	import time

	# For fairness use the same chunk size - 512k.

	#!/usr/bin/env python

	"""
	Author: Vivek Ramachandran
	Website: http://SecurityTube.net
	Online Infosec Training: http://SecurityTube-Training.com

	"""

	import paramiko

	var mobileCheck = {
	ios: (function(){
	return navigator.userAgent.match(/iPhone\|iPad\|iPod/i);
	}()),
	android: (function(){
	return navigator.userAgent.match(/Android/i);
	}()),
	blackBerry: (function(){
	return navigator.userAgent.match(/BB10\|Tablet\|Mobile/i);
	}()),