Jake Byman jbyman

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

#A Collection of NLP notes

##N-grams

###Calculating unigram probabilities:

P( w_i ) = count ( w_i ) ) / count ( total number of words )

In english..

duplicates = multiple editions

	"""Genetic Algorithmn Implementation
	see:
	http://www.obitko.com/tutorials/genetic-algorithms/ga-basic-description.php
	"""
	import random

	class GeneticAlgorithm(object):
	def __init__(self, genetics):
	self.genetics = genetics
	pass

	class Graph:
	def __init__(self):
	self.nodes = set()
	self.edges = defaultdict(list)
	self.distances = {}

	def add_node(self, value):
	self.nodes.add(value)

	def add_edge(self, from_node, to_node, distance):

	class Node(object):
	"""
	Tree node: left and right child + data which can be any object
	"""
	def __init__(self, data):
	"""
	Node Constructor
	@param data node data object
	"""
	self.left = None

	#!/usr/bin/python

	# Head ends here
	import heapq
	class Node:
	def __init__(self, point,parent=None):
	self.point = point
	self.parent = parent

	def nextMove( x, y, pacman_x, pacman_y, food_x, food_y, grid):

	<?hh

	async function helloAfter($name, $timeout) {
	// sleep asynchronously -- let other async functions do their job
	await SleepWaitHandle::create($timeout * 1000000);
	echo sprintf("hello %s\n", $name);
	}

	async function run() {
	$joe = helloAfter('Joe', 3);