ReiiSky

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

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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.

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ReiiSky

Concurrency in JavaScript

Javascript is a programming language with a peculiar twist. Its event driven model means that nothing blocks and everything runs concurrently. This is not to be confused with the same type of concurrency as running in parallel on multiple cores. Javascript is single threaded so each program runs on a single core yet every line of code executes without waiting for anything to return. This sounds weird but it's true. If you want to have any type of sequential ordering you can use events, callbacks, or as of late promises.

ReiiSky

var express = require('express'),
    simpledb = require('simpledb'),
    Step = require('step'),
    
    sdb = new simpledb.SimpleDB({
        keyid: 'your aws key',
        secret: 'your aws secret'
    }),
    
    app = express.createServer(express.logger()),

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var net = require('net');

// creates the server
var server = net.createServer();

//emitted when server closes ...not emitted until all connections closes.
server.on('close',function(){
  console.log('Server closed !');
});

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Entities and Components

An entity is just a number.

There is a graph of components, indexed by the entity id.

All state is stored in one place.

var components = { Position: {}, Velocity:{}, Spite: {}, Timer: {}, ScreenShake: {}, RemoveComponents: {} }

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setInterval(function(){
    document.getElementsByClassName('form-control')[0].value = document.getElementById('row1').getElementsByClassName('highlight')[0].innerHTML}, 100);

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

import sys
import numpy

numpy.seterr(all='ignore')


'''

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Awesome Knowledge Graph Embedding Approaches

This list contains repositories of libraries and approaches for knowledge graph embeddings, which are vector representations of entities and relations in a multi-relational directed labelled graph. Licensed under CC0.

Libraries

• Embedding framework (5 algorithms) @ https://github.com/BookmanHan/Embedding
• KB2EP collection (5 algorithms) @ https://github.com/thunlp/KB2EP

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

'''
 Deep Belief Nets (DBN)

 References :
   - Y. Bengio, P. Lamblin, D. Popovici, H. Larochelle: Greedy Layer-Wise
   Training of Deep Networks, Advances in Neural Information Processing
   Systems 19, 2007

ReiiSky

import gym
import numpy as np

env = gym.make('CartPole-v1')

def play(env, policy):
  observation = env.reset()
  
  done = False
  score = 0