Leandro López inkel

This is my best try at transcribing of the lightning talk I gave at RUG::B on April 2016. Due to poor time management (LOL) the delivery was rushed and some examples were skipped, I hope having them posted here makes them more useful.

xargs

xargs is a small but very useful program that is installed in most if not all of your computers¹. Many of you probably know it. Those who don't will learn something really useful, but those who do will learn a couple of cool tricks, too.

Why xargs

You might have heard about the Unix philosophy:

brew install gnupg, pinentry-mac (this includes gpg-agent and pinentry)
Generate a key: $ gpg --gen-key
Take the defaults. Whatevs
Tell gpg-agent to use pinentry-mac:
```
$ vim ~/.gnupg/gpg-agent.conf 
```

When should you use DateTime and when should you use Time?

It's a common misconception that [William Shakespeare][1] and [Miguel de Cervantes][2] died on the same day in history - so much so that UNESCO named April 23 as [World Book Day because of this fact][3]. However because England hadn't yet adopted [Gregorian Calendar Reform][4] (and wouldn't until [1752][5]) their deaths are actually 10 days apart. Since Ruby's Time class implements a [proleptic Gregorian calendar][6] and has no concept of calendar reform then there's no way to express this. This is where DateTime steps in:

>> shakespeare = DateTime.iso8601('1616-04-23', Date::ENGLAND)
=> Tue, 23 Apr 1616 00:00:00 +0000
>> cervantes = DateTime.iso8601('1616-04-23', Date::ITALY)
=> Sat, 23 Apr 1616 00:00:00 +0000

Programación Web - Club de Programación CMD

Intro

Bienvenida

Bienvenidos a una brevísima historia de qué es la Internet. Me pidieron que trate de contarles en 30 minutos qué es la programación web, y para eso necesitamos saber cómo funciona Internet, o más específicamente la WWW, más conocida como la Web.

Feature Learning

Learning Feature Representations with K-means by Adam Coates and Andrew Y. Ng
The devil is in the details: an evaluation of recent feature encoding methods by Chatfield et. al.
Emergence of Object-Selective Features in Unsupervised Feature Learning by Coates, Ng
Scaling Learning Algorithms towards AI Benjio & LeCun
A Theory of Feature Learning by Brendan van Rooyen, Robert C. Williamson

Deep Learning

Dropout: A Simple Way to Prevent Neural Networks from Overfitting by Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever and Ruslan Salakhutdinov
[Understanding

	#!/bin/bash
	set -e

	# Send a private message to someone on slack
	# from the command line.

	# Print a usage message and exit.
	usage(){
	local name=$(basename "$0")

	# Hello, and welcome to makefile basics.
	#
	# You will learn why `make` is so great, and why, despite its "weird" syntax,
	# it is actually a highly expressive, efficient, and powerful way to build
	# programs.
	#
	# Once you're done here, go to
	# http://www.gnu.org/software/make/manual/make.html
	# to learn SOOOO much more.

	require "rubygems"
	require "bundler"
	require_relative "lib/importer"

	Bundler.setup

	desc "Import from Trello board"
	task :import do
	Importer.new(File.dirname(__FILE__)).import ENV["ISSUE"]
	end

	var request = require("request");

	// The Cities IDs can be found on openweathermap.org (make a search, and look the URI)
	var cities = [2988507, 5391959];
	var slackBotUri = ""; // TODO: Complete

	request("http://api.openweathermap.org/data/2.5/group?id="+cities.join(',')+"&units=metric ", function(error, response, body) {
	// Maybe we can handle this differently/better ?
	if(error != null)
	return;

	You need to run tests with:

	go test -tags=test