Brian Hulette TheNeuralBit

I hereby claim:

I am theneuralbit on github.
I am hulettbh (https://keybase.io/hulettbh) on keybase.
I have a public key whose fingerprint is 2BBC 7636 3D31 D1CC 5131 45C0 2F48 7FAD BB75 17BE

To claim this, I am signing this object:

Scrabble Data in an Arrow file

538's data on 45 years of Scrabble games turned into an Arrow file

$ python scrabble.py https://media.githubusercontent.com/media/fivethirtyeight/data/master/scrabble-games/scrabble_games.csv scrabble.arrow

	import sys

	infile = open(sys.argv[1], 'r')
	outfile = open(sys.argv[2], 'w')

	for line in infile.read().split('\n'):
	while len(line) > 80:
	idx = line[:80].rfind(' ')
	outfile.write('%s\n' % line[:idx])
	line = line[idx + 1:]

	<html>
	<body>
	<svg></svg>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.14/d3.min.js"></script>
	<script>
	var lineData = d3.range(1000);

	function get_rand() {
	return Math.round(Math.random()*9 + 0.5);
	}

	// obj.forEach(function(k, v) { ... });
	Object.prototype.forEach = function forEach(callback) {
	for (var key in this) {
	if (this.hasOwnProperty(key)) {
	callback(key, this[key]);
	}
	}
	}

	"""
	===================
	Label image regions
	===================

	This example shows how to segment an image with image labelling. The following
	steps are applied:

	1. Thresholding with automatic Otsu method
	2. Close small holes with binary closing


	> [email protected] perf /home/hulettbh/working_dir/arrow/js
	> node ./perf/index.js

	Running apache-arrow performance tests...

	Parse "tracks":
	Table.from
	x 6,199 ops/sec ±2.83% (81 runs sampled)
	avg: 0.16ms