Tafkas

#!/bin/zsh

# Add the following to your ~/.gitconfig
#
#  [alias]
#	   up = !zsh /path-to-this-script/git-up.sh
#
#  Then you can call
#
#     `git up`

Tafkas

function computeSunrise(day, sunrise) {

    /*Sunrise/Sunset Algorithm taken from
        http://williams.best.vwh.net/sunrise_sunset_algorithm.htm
        inputs:
            day = day of the year
            sunrise = true for sunrise, false for sunset
        output:
            time of sunrise/sunset in hours */

Tafkas

#!/usr/local/bin/python
# encoding: utf-8
import random
import time
import matplotlib.pyplot as plt
import numpy as np

#simulates the martingale roulette system
def simulation():
    

Tafkas

#!/usr/bin/env python
"""
  slack_user_munin - A munin plugin for to monitor online presence in Slack
  Copyright (C) 2015 Christian Stade-Schuldt
  Author: Christian Stade-Schuldt
  Like Munin, this plugin is licensed under the GNU GPL v2 license
  http://www.opensource.org/licenses/GPL-2.0
  Add the following section to your munin-node's plugin configuration:

  [slack_*]

Tafkas

#!/usr/bin/env python
"""
  slack_channel_munin - A munin plugin for to monitor channel count in Slack
  Copyright (C) 2015 Christian Stade-Schuldt
  Author: Christian Stade-Schuldt
  Like Munin, this plugin is licensed under the GNU GPL v2 license
  http://www.opensource.org/licenses/GPL-2.0
  Add the following section to your munin-node's plugin configuration:

  [slack_*]

Tafkas

import numpy as np

def rmsle(h, y): 
    """
    Compute the Root Mean Squared Log Error for hypthesis h and targets y
    
    Args:
        h - numpy array containing predictions with shape (n_samples, n_targets)
        y - numpy array containing targets with shape (n_samples, n_targets)
    """

Tafkas

#!/usr/local/bin/python

# encoding: utf-8
"""
collect_kostal.py

Created by Christian Stade-Schuldt on 2014-07-27.
"""

import urllib2

Tafkas

"""
Created by Christian Stade-Schuldt on 2014-07-28.
"""

import sqlite3
import json
import urllib
import time
import datetime
import calendar

Tafkas

/* FitbitDownload.gs
This script will access your Fitbit data via the Fitbit API and insert it into a Google spreadsheet.
The first row of the spreadsheet will be a header row containing data element names. Subsequent rows will contain data, one day per row.
Note that Fitbit uses metric units (weight, distance) so you may wish to convert them.

Original script by loghound@gmail.com
Original instructional video by Ernesto Ramirez at http://vimeo.com/26338767
Modifications by Mark Leavitt (PDX Quantified Self organizer) www.markleavitt.com
Further Modifications by Christian Stade-Schuldt blog.tafkas.net
Here's to your (quantified) health!

Tafkas

#read data
tw <- read.csv(file="TrendWeightData.csv",header=T)
summary(tw)

#remove interpolated values
tw <- tw[tw$WeightIsInterpolated == "False",]

#convert strings to date and extract year
tw$Date <- as.POSIXlt(as.character(tw$Date), format="%Y-%m-%d")
tw$Year <- tw$Date$year + 1900