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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.

OpenGL Development on OS X

While it's possible to download packages and install them manually, it's such a hassle. Fortunately for us, OS X has an unofficial package manager called http://brew.sh Let's install it. Open you Terminal and paste the following code:

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

Great. Homebrew will automatically install packages to /usr/local. Conveniently, that directory is already in your include and link paths.

Easy client VPN for all major platforms using strongSwan IPsec

Overview

The goal here is to provide quick and easy but secure client VPN that can be configured natively without any additional software on:

Linux
iOS
Android
Windows
OSX

OSX Sierra + Titan Xp eGPU. Tensorflow 1.2.1. + CUDA 8 + cuDNN 6

This gist summarises the tensorflow related steps I took to get the above combo working.

When its all tested in c++ I'll update the instructions fully (and add anything I forgot below).

But in summary ( with the current master dd06643cf098ed362212ce0f76ee746951466e81 ):

I have uploaded the pip wheel which I believe should work if you have the same setup but no promises (built for compute capability 3.5, 5.2, 6.0 and named tensorflow-gpu). Install with (not sure dropbox allows this direct linking):

Reddit post (Archived)

Table of Content

What to expect?
- Some TLDR about the idea behind
Prerequisites
- Hardware
- System & Software
Update: Attention for MUXless laptop

	// From http://www.tannerhelland.com/4435/convert-temperature-rgb-algorithm-code/

	// Start with a temperature, in Kelvin, somewhere between 1000 and 40000. (Other values may work,
	// but I can't make any promises about the quality of the algorithm's estimates above 40000 K.)


	function colorTemperatureToRGB(kelvin){

	var temp = kelvin / 100;

	#!/bin/bash

	# install CUDA Toolkit v8.0
	# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
	CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
	wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
	sudo dpkg -i ${CUDA_REPO_PKG}
	sudo apt-get update
	sudo apt-get -y install cuda

	//
	// CapturedImageSampler.swift
	// ARKitTest
	//
	// Created by Joshua Sullivan on 9/22/17.
	// Copyright © 2017 Joshua Sullivan. All rights reserved.
	//

	import UIKit
	import ARKit

	sudo curl -o /usr/local/bin/imgcat -O https://raw.githubusercontent.com/gnachman/iTerm2/master/tests/imgcat && sudo chmod +x /usr/local/bin/imgcat

	# If you have a better way to fix the permissions, comment below!