jsimpson

#!/usr/bin/env ruby

## disconnect

# ./disconnect.rb -u yourusername [-o /your/path] [-p yourhttpproxyserver]
#
# This is a command-line utility for the bulk-downloading of run data from
# the connect.garmin.com web application, which has lackluster export
# capabilities.
#

jsimpson

function query() {
  var 
    total = 0, shown = 0,
    // HN is done with very unsemantic classes.
    job_list = Array.prototype.slice.call(document.querySelectorAll('.c5a,.c00,.c9c,.cdd,.c73,.c88')),
    query_list = Array.prototype.slice.call(arguments);
    
  // This traverses up the dom stack trying to find a match of a specific class
  function upTo(node, klass) {
    if (node.className === klass) {

jsimpson

function [maxtab, mintab]=peakdet(v, delta, x)
%PEAKDET Detect peaks in a vector
%        [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local
%        maxima and minima ("peaks") in the vector V.
%        MAXTAB and MINTAB consists of two columns. Column 1
%        contains indices in V, and column 2 the found values.
%      
%        With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices
%        in MAXTAB and MINTAB are replaced with the corresponding
%        X-values.

jsimpson

from __future__ import division
from scikits.audiolab import flacread
from numpy.fft import rfft, irfft
from numpy import argmax, sqrt, mean, diff, log
from matplotlib.mlab import find
from scipy.signal import blackmanharris, fftconvolve
from time import time
import sys

from parabolic import parabolic

jsimpson

import numpy as np
from math import pi, log
import pylab
from scipy import fft, ifft
from scipy.optimize import curve_fit

i = 10000
x = np.linspace(0, 3.5 * pi, i)
y = (0.3*np.sin(x) + np.sin(1.3 * x) + 0.9 * np.sin(4.2 * x) + 0.06 *
    np.random.randn(i))

jsimpson

// adapted from http://www.youtube.com/watch?v=qNM0k522R7o

extern vec2 size;
extern int samples = 5; // pixels per axis; higher = bigger glow, worse performance
extern float quality = 2.5; // lower = smaller glow, better quality

vec4 effect(vec4 colour, Image tex, vec2 tc, vec2 sc)
{
  vec4 source = Texel(tex, tc);
  vec4 sum = vec4(0);

jsimpson

AllCops:
  RunRailsCops: true

# Commonly used screens these days easily fit more than 80 characters.
Metrics/LineLength:
  Max: 120

# Too short methods lead to extraction of single-use methods, which can make
# the code easier to read (by naming things), but can also clutter the class
Metrics/MethodLength: 

jsimpson

#Simple Authentication with Bcrypt

This tutorial is for adding authentication to a vanilla Ruby on Rails app using Bcrypt and has_secure_password.

The steps below are based on Ryan Bates's approach from Railscast #250 Authentication from Scratch (revised).

You can see the final source code here: repo. I began with a stock rails app using rails new gif_vault

##Steps

jsimpson

What I Wish I'd Known About Equity Before Joining A Unicorn

Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.

This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would

jsimpson

# Adjust Rxvt to suit your terminal emulator
# Created with
# ITERM_COLOR_MULTIPLIER=2.5 ./itermcolors2Xdefaults.rb Jellybeans.itermcolors
# https://github.com/richo/jellybeans.vim/blob/c7ff7e9555881a5671fcc8753b381ba142b5ea82/Xdefaults/jellybeans.Xdefaults
Rxvt*color0: #393939
Rxvt*color1: #ca674a
Rxvt*color2: #96a967
Rxvt*color3: #d3a94a
Rxvt*color4: #5778c1
Rxvt*color5: #9c35ac