Yangming leonmax

The introduction to Reactive Programming you've been missing

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

Use these rapid keyboard shortcuts to control the GitHub Atom text editor on macOS.

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If you use Amazon AWS for nearly anything, then you are probably familiar with KMS, the Amazon Key Management Service.

KMS is a service which allows API-level access to cryptographic primitives without the expense and complexity of a full-fledged HSM or CloudHSM implementation. There are trade-offs in that the key material does reside on servers rather than tamper-proof devices, but these risks should be acceptable to a wide range of customers based on the care Amazon has put into the product. You should perform your own diligence on whether KMS is appropriate for your environment. If the security profile is not adequate, you should consider a stronger product such as CloudHSM or managing your own HSM solutions.

The goal here is to provide some introductory code on how to perform envelope encrypt a message using the AWS KMS API.

KMS allows you to encrypt messages of up to 4kb in size directly using the encrypt()/decrypt() API. To exceed these limitations, you must use a technique called "envelope encryptio

Awesomely easy virtualenvs on OSX using pyenv and direnv

Never forget to activate that virtualenv or set that environment variable ever again...

Install

Install pyenv
```
 brew install pyenv
```

	import mesosphere.mesos.util.FrameworkInfo
	import org.apache.mesos.MesosSchedulerDriver


	/**
	* @author Tobi Knaup
	*/

	object Main extends App {

	# URI of the local (caching) HTTP proxy
	LOCAL_HTTP_PROXY = 'http://192.168.33.200:8123'

	# Configures vagrant-cachier and vagrant-proxyconf.
	# Should be called only on "local machine" providers.
	def configure_caching(config)
	if Vagrant.has_plugin?('vagrant-cachier')
	config.cache.enable_nfs = true
	config.cache.enable :gem
	config.cache.enable :npm

	user www-data;
	worker_processes 1;
	pid /var/run/nginx.pid;

	events {
	worker_connections 1024;
	}

	http {
	sendfile on;

	wifi-menu
	ping www.google.com

	# setup disk partitions
	cfdisk.

	# format disk partitions
	lsblk /dev/sda
	mkfs.ext4 /dev/sda1
	mkfs.ext4 /dev/sda2

	#!/usr/bin/env sh

	OLDDIR="$PWD"

	if [ -z "$CACERTS_FILE" ]; then
	CACERTS_FILE=$JAVA_HOME/jre/lib/security/cacerts
	fi

	mkdir /tmp/rds-ca && cd /tmp/rds-ca

	""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
	import numpy as np
	import cPickle as pickle
	import gym

	# hyperparameters
	H = 200 # number of hidden layer neurons
	batch_size = 10 # every how many episodes to do a param update?
	learning_rate = 1e-4
	gamma = 0.99 # discount factor for reward