Adam Hyland Protonk

Evaluate an article

Review pages 4-7 of the Evaluating Wikipedia brochure. This will give you a good, brief overview of what to look for in other articles, and what other people will look for in your own.
Evaluate an existing Wikipedia article related to the class, and leave suggestions for improving it on the article's talk page.
- A few questions to consider (don't feel limited to these):
  - Is each fact referenced with an appropriate, reliable reference?
  - Is everything in the article relevant to the article topic? Is there anything that distracted you?
  - Is the article neutral? Are there any claims, or frames, that appear heavily biased toward a particular position?
  - Where does the information come from? Are these neutral sources? If biased, is that bias noted?
Are there viewpoints that are overrepresented, or underrepresented?

"He was a seaman, but he was a wanderer, too, while most seamen lead, if one may so express it, a sedentary life. Their minds are of the stay-at-home order, and their home is always with them—the ship; and so is their country—the sea. One ship is very much like another, and the sea is always the same. In the immutability of their surroundings the foreign shores, the foreign faces, the changing immensity of life, glide past, veiled not by a sense of mystery but by a slightly disdainful ignorance; for there is nothing mysterious to a seaman unless it be the sea itself, which is the mistress of his existence and as inscrutable as Destiny. For the rest, after his hours of work, a casual stroll or a casual spree on shore suffices to unfold for him the secret of a whole continent, and generally he finds the secret not worth knowing. The yarns of seamen have a direct simplicity, the whole meaning of which lies within the shell of a cracked nut."

Heart of Darkness, Joseph Conrad.

Feminism

Establishing feminist critique as pushing against cultural resentment

time mag

"Prominent feminist critique — present in every other relevant medium, but new to games — has elicited massive backlash and threats to women working in the field."

jacobin

d3.quantile = function(values, p) {
  var H = (values.length - 1) * p + 1,
      h = Math.floor(H),
      v = +values[h - 1],
      e = H - h;
  return e ? v + e * (values[h] - v) : v;
};

	By hylang core devs:

	Defining Function Arguments in Hy
	http://agentultra.com/2013/04/22/defining-function-arguments-in-hy/

	Hy a Lisp on Python
	http://agentultra.com/2013/04/19/hy-a-lisp-on-python/

	Programming Can Be Fun with Hy
	http://www.opensourceforu.com/2014/02/programming-can-fun-hy/

	//Webkit2's crazy invertible mapping generator
	// Theory is here: http://dl.acm.org/citation.cfm?id=752741
	var xorshift = (function(seed) {
	// We can't reach the maximal period inside JS because numbers above
	// 2^53 aren't 'safe'
	seed = seed \|\| Math.round(Math.random() * Math.pow(2, 32));

	return {
	rand : function() {
	// creates randomness...somehow...

	library(jpeg)
	library(plyr)

	# Read in Girl before a Mirror from somewhere

	# readJPEG only accepts a path, so give it one without much tomfoolery
	picasso.path <- tempfile('girl_before_a_mirror.jpg')
	download.file('http://bobholt.me/images/girl_before_a_mirror.jpg', picasso.path)

	gbm <- readJPEG(picasso.path)

	## Once you've loaded the dependencies you don't have to load them again in a session
	## May have to install them via `install.packages(c('RJSONIO', 'plyr'))` first and only once per device
	# Uses C parser for faster results compared to rjson
	require('RJSONIO')
	# Get a quick non-trivial function example
	require('plyr')

	# body(x) extracts the function body for x (also could set the function body of x)
	ddBody <- as.list(body(ddply))

	# For each element, match against the data frame of longer vectors
	compSlightlySmarter <- function(element, table) {
	matches <- sapply(table, function(x) {
	# finds exact matches of element to the 'table' (one column in the longer df)
	locations <- match(element, as.character(x))
	# if there are no unbroken or unordered sequences, it's a match!
	return(!any(is.na(locations)) & !is.unsorted(locations))
	})
	if(any(matches)) {
	# unlike the dumb version, we return matches

	long <- data.frame(c("foo","qux","baz","quux"),c("baz","bar","foo","corge"))
	shrt <- data.frame(c("foo","bar","baz"),c("baz","bar","foo"))

	concatDumb <- function(data) {
	listed <- sapply(data, function(x) {
	# concatenate the character vectors to use substring matching
	paste0('$', paste(unname(x), collapse = '$'), '$')
	})
	return(unname(listed))
	}