niftycode

override func viewDidAppear(animated: Bool) {

	var navBar = self.navigationController?.navigationBar
  	navBar?.barStyle = UIBarStyle.Black
  	navBar?.tintColor = UIColor.yellowColor

}

niftycode

import UIKit

class MyButton: UIButton {

    override var highlighted: Bool {
        didSet {
            if (highlighted) {
                self.backgroundColor = UIColor.redColor()
            } else {
                self.backgroundColor = UIColor.clearColor()

niftycode

extension String {
    
    // string length
    var len: Int {
        return self.characters.count
    }
    
    // retrieve a single character
    subscript(n: Int) -> Character {
        if n < 0 || n > self.len {

niftycode

/* EpochConverter */
#include <iostream>
#include <time.h>

using namespace std;

int main(int argc, const char * argv[]) {

	int inputTime;
	struct tm *timeinfo;

niftycode

#!/usr/bin/python3
# -*- coding: utf-8 -*-

"""
Line graph of the familiy status of the citizens of Kiel, Germany.
The data is provided by the City of Kiel.
http://kiel.de/rathaus/statistik/open_data/index.php

familyStatus.py
version: 1.3

niftycode

import matplotlib.pyplot as plt
import numpy as np

plt.style.use('seaborn-bright')

fig, ax = plt.subplots()

candidats = ('Marine Le Pen', 'Emmanuel Macron', 'François Fillon', 'Benoît Hamon', 'Jean-Luc Mélenchon')
voter = [21.7,23.9,20,6.3,19.2]
y_pos = np.arange(len(candidats))

niftycode

#!/usr/bin/env python3
# -*- coding: utf-8 -*-


"""
Election, German Bundestag 2017
Version: 1.0
Python 3.6
Date created: 25/09/2017
"""

niftycode

//: # CALayer Example 2

import UIKit
import PlaygroundSupport

// view with white background color
var backgroundView = UIView(frame: CGRect(x: 0, y: 0, width: 400, height: 400))
backgroundView.backgroundColor = UIColor.white

PlaygroundPage.current.liveView = backgroundView

niftycode

import matplotlib.pyplot as plt
import numpy as np

# results for the greens and the cdu
gruene = np.array([5.3, 8.0, 7.9, 9.5, 12.1, 7.7, 11.7, 24.2, 30.3])
cdu = np.array([53.4, 51.9, 49.0, 39.6, 41.3, 44.8, 44.2, 39.0, 27.0])

fig, ax = plt.subplots()
xlabels = [1980, 1984, 1988, 1992, 1996, 2001, 2006, 2011, 2016]

niftycode

What

Roll your own iPython Notebook server with Amazon Web Services (EC2) using their Free Tier.

What are we using? What do you need?

• An active AWS account. First time sign-ups are eligible for the free tier for a year
• One Micro Tier EC2 Instance
• With AWS we will use the stock Ubuntu Server AMI and customize it.
• Anaconda for Python.
• Coffee/Beer/Time