max maxthomas

Pull the last 2 highlights from a users channel:

https://api.twitch.tv/kraken/channels/ennopp112/videos?limit=2

Get a single video:

https://api.twitch.tv/kraken/videos/c3473004

Scrape request to get .flv links:

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

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.

Clojure Destructuring Tutorial and Cheat Sheet

(Related blog post)

Simply put, destructuring in Clojure is a way extract values from a datastructure and bind them to symbols, without having to explicitly traverse the datstructure. It allows for elegant and concise Clojure code.

Vectors and Sequences

Channels Are Not Enough

... or Why Pipelining Is Not That Easy

Golang Concurrency Patterns for brave and smart.

By @kachayev

Intro

Most VPN Services are Terrible

Short version: I strongly do not recommend using any of these providers. You are, of course, free to use whatever you like. My TL;DR advice: Roll your own and use Algo or Streisand. For messaging & voice, use Signal. For increased anonymity, use Tor for desktop (though recognize that doing so may actually put you at greater risk), and Onion Browser for mobile.

This mini-rant came on the heels of an interesting twitter discussion: https://twitter.com/kennwhite/status/591074055018582016

	public void conditionalWrite(String docId, ColumnVisibility cv, Connector conn) throws Exception {
	// setup writer
	String tablename = "table";

	ConditionalWriterConfig cwConfig = new ConditionalWriterConfig();
	cwConfig.setAuthorizations(new Authorizations("a","b","c"));
	ConditionalWriter cw = conn.createConditionalWriter(tablename, cwConfig);

	// set up condition on this mutation
	IteratorSetting is = new IteratorSetting(1, SuppressCVIterator.class);

	import org.apache.spark.mllib.linalg.distributed.RowMatrix
	import org.apache.spark.mllib.linalg._
	import org.apache.spark.{SparkConf, SparkContext}

	// To use the latest sparse SVD implementation, please build your spark-assembly after this
	// change: https://github.com/apache/spark/pull/1378

	// Input tsv with 3 fields: rowIndex(Long), columnIndex(Long), weight(Double), indices start with 0
	// Assume the number of rows is larger than the number of columns, and the number of columns is
	// smaller than Int.MaxValue

	"""
	A deep neural network with or w/o dropout in one file.

	License: Do What The Fuck You Want to Public License http://www.wtfpl.net/
	"""

	import numpy, theano, sys, math
	from theano import tensor as T
	from theano import shared
	from theano.tensor.shared_randomstreams import RandomStreams

	(comment ; Fun with transducers, v2

	;; Still haven't found a brief + approachable overview of Clojure 1.7's new
	;; transducers in the particular way I would have preferred myself - so here goes:

	;;;; Definitions
	;; Looking at the `reduce` docstring, we can define a 'reducing-fn' as:
	(fn reducing-fn ([]) ([accumulation next-input])) -> new-accumulation
	;; (The `[]` arity is actually optional; it's only used when calling
	;; `reduce` w/o an init-accumulator).

	{
	"491289025" : "ijinshan-kappmarket://",
	"301521403" : "fb103361823069955://",
	"492178411" : "ils492178411://",
	"346142396" : "fb234434003713://",
	"310633997" : "whatsapp://",
	"370614765" : "com.condenet.newyorker://",
	"325058491" : "rnmddisco://",
	"382952264" : "epichttp://",
	"477048487" : "predictwind://",