staltz

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.

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kevinwright

As compiled by Kevin Wright a.k.a @thecoda

(executive producer of the movie, and I didn't even know it... clever huh?)

please, please, please - If you know of any slides/code/whatever not on here, then ping me on twitter or comment this Gist!

This gist will be updated as and when I find new information. So it's probably best not to fork it, or you'll miss the updates!

Monday June 16th

andershedstrom

---
- hosts: app
  remote_user: vagrant
  sudo: yes
  vars:
    download_url: http://download.oracle.com/otn-pub/java/jdk/8u5-b13/jdk-8u5-linux-x64.tar.gz
    download_folder: /opt
    java_name: "{{download_folder}}/jdk1.8.0_05"
    java_archive: "{{download_folder}}/jdk-8u5-linux-x64.tar.gz"

freeman-lab

package thunder.streaming

import org.apache.spark.{SparkConf, Logging}
import org.apache.spark.rdd.RDD
import org.apache.spark.SparkContext._
import org.apache.spark.streaming._
import org.apache.spark.streaming.dstream.DStream
import org.apache.spark.mllib.clustering.KMeansModel

import scala.util.Random.nextDouble

gregmalcolm

Assuming you llvm installed (comes as standard on Mac OS Mavrick xtools)

Create a helloworld.c file:

  #include<stdio.h>
  
  int main()
  {
 int x=3;

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

xuwei-k

• xmlとparser-combinatorが別のjarになった http://d.hatena.ne.jp/xuwei/20130726/1374809559
• case classやメソッドの22制限がなくなった scala/scala#2305
• 「value classのvalがpublicでないといけない」という制限がなくなった scala/scala#2965 scala/scala#3113
• Java8のようなSingle Abstract Methodの糖衣構文を(experimantalだが)サポート scala/scala#3037
• パターンマッチの際に使われるunapplyの戻り値型が、Optionではなく「 isEmpty: Boolean と get: A をもっていればどんな型でもよい」と、制限が緩くなった
• http://d.hatena.ne.jp/xuwei/20131005/1380887673
• scala/scala#2848
• scala.util.contrll.TailCalls.TailRec に flatMap が追加された scala/scala#2865
• view boundが非推奨になった scala/scala#2909
• リフレクションがスレッドセーフになった(またバグが見つかったらしい) scala/scala#3029

komiya-atsushi

/**
 * b-bit Minwise hashing の Java 実装です。
 * <p>
 * 参考文献 : <a href="http://research.microsoft.com/pubs/120078/wfc0398-lips.pdf">b-Bit Minwise Hashing</a>
 * </p>
 *
 * @author KOMIYA Atsushi
 */
public class MinHash {
    private final int numBits;

methane

go 1.1 scheduler

where

src/pkg/runtime proc.c asm_*.s

design

mikhailov

# Nginx+Unicorn best-practices congifuration guide. Heartbleed fixed.
# We use latest stable nginx with fresh **openssl**, **zlib** and **pcre** dependencies.
# Some extra handy modules to use: --with-http_stub_status_module --with-http_gzip_static_module
#
# Deployment structure
#
# SERVER:
#  /etc/init.d/nginx                             (1. nginx)
#  /home/app/public_html/app_production/current  (Capistrano directory)
#