Tafkas

# sun_flight_map.R
#
# Plot sun elevations along a flight path. 
#
# Airport information can be sourced from http://openflights.org/data.html.
# Note that the time zone offsets provided in their airports.dat never count
# daylight savings time.
#
# This code is for fun only, so it comes with no guarantee of accuracy and
# is not to be used for any serious purpose including making any decisions 

Tafkas

import sqlite3
import json
import urllib
import datetime
import calendar

WEATHER_DATA_URL = 'http://api.openweathermap.org/data/2.5/weather?q=Berlin,de&units=metric'
DB_PATH = ''

def get_data():

Tafkas

#!/usr/bin/env python
# encoding: utf-8
"""
pysml.py
Created by Christian Stade-Schuldt on 2014-10-25.
"""

import sys
import os
import datetime

Tafkas

#!/usr/bin/env python
"""
  codebase_munin - A munin plugin for Linux to monitor Codebase ticket progress
  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:

  [codebase_*]

Tafkas

runs <- read.csv("myrunninglog.csv", header=T, sep=",")

#convert date
runs$Date <- strptime(as.character(runs$Date), format="%Y-%m-%d")

#convert distance from km to meters
runs$Distance <- 1000 * runs$Distance

ggplotRegression <- function (fit) {
  

Tafkas

Distribution of Birth Year and Top 10 Participating Nations in Berlin Marathon 2014

setwd("~/")
bm <- read.csv("BerlinMarathon2014.csv", header=T)
library(ggplot2)
p <- ggplot(bm, aes(birth_date, ..density..))
p <- p + geom_histogram(binwidth=1, colour = "black", fill = "lightblue") + geom_density()
p + ggtitle("Distribution of Birth Year for the Berlin Marathon 2014") + xlab("Year of Birth") + ylab("Density")

# get the top 10 particpating nations

Tafkas

#!/usr/local/bin/python
# encoding: utf-8
"""
activity_extractor.py
Created by Christian Stade-Schuldt on 2013-10-29.
"""

import os
from lxml import etree as et
from datetime import timedelta, datetime

Tafkas

#!/usr/bin/env python
# encoding: utf-8
"""
Created by Christian Stade-Schuldt on 2013-11-12.
"""

import sys
import os
import csv
import json

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

data <- read.csv(file = "2008TenMiler.csv", header = TRUE, sep=",")
summary(data)
data <- na.omit(data)

#convert time to minutes
data$Nettime <- as.character(data$Nettime)
data$Nettime <- sapply(strsplit(data$Nettime, ":"),
    function(x) {
        x <- as.numeric(x)
        x[1]*60 + x[2] + x[3]/60