garywu

Sublime Text 2 – Useful Shortcuts (PC)

Loosely ordered with the commands I use most towards the top. Sublime also offer full documentation.

Editing

Ctrl+C	copy current line (if no selection)
Ctrl+X	cut current line (if no selection)
Ctrl+⇧+K	delete line
Ctrl+↩	insert line after

garywu

// Chrome extension 'content scripts' run in a sandboxed 'isolated world'
// (http://code.google.com/chrome/extensions/content_scripts.html#execution-environment).
// However, there are ways to get out and execute js code in the page
// context.  Google searching revealed the following ways:

////////////////////////////////////////////////////////////////////////////////
// http://blog.afterthedeadline.com/2010/05/14/how-to-jump-through-hoops-and-make-a-chrome-extension/
// it looks like jQuery must be loaded by the content-script 
jQuery('body').append('<script type="text/javascript">(function(l) {
   var res = document.createElement('SCRIPT');

garywu

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

garywu

---
# ^^^ YAML documents must begin with the document separator "---"
#
#### Example docblock, I like to put a descriptive comment at the top of my 
#### playbooks.
#
# Overview: Playbook to bootstrap a new host for configuration management.
# Applies to: production
# Description: 
#   Ensures that a host is configured for management with Ansible.

garywu

<?php
function cidr_match($ip, $ranges)
{
    $ranges = (array)$ranges;
    foreach($ranges as $range) {
        list($subnet, $mask) = explode('/', $range);
        if((ip2long($ip) & ~((1 << (32 - $mask)) - 1)) == ip2long($subnet)) {
            return true;
        }
    }

garywu

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

garywu

from __future__ import division
from numpy.fft import rfft
from numpy import argmax, mean, diff, log
from matplotlib.mlab import find
from scipy.signal import blackmanharris, fftconvolve
from time import time
import sys
try:
    import soundfile as sf
except ImportError:

garywu