habi

# -*- coding: utf-8 -*-

"""
Lottomat für http://www.bernerzeitung.ch/14012675
Anhand der Vorgaben von SwissLotto (http://is.gd/BB61Eb) müssen pro Tipp sechs
Zahlen (1-42) und eine Glückszahl (1-6) angekreuzt werden.
Für eine  Teilnahme müssen mindestens zwei Tipps gespielt werden.
"""

# Wir brauchen ein paar Dinge zum rechnen

habi

'''
Smoothing/Interpolation-example, based on
https://docs.scipy.org/doc/scipy-0.14.0/reference/tutorial/interpolate.html
'''
from __future__ import division
import numpy as np
from scipy.interpolate import interp1d
import matplotlib.pyplot as plt
import time

habi

% Title Subtitle % Author % 26.11.2014

Introduction

This is the indtroduction to the document

Materials and Methods

Here you describe your methods, most probably with citations, in the form of [@SomeBibTeX-key].

habi

"""
Plot 1000 random dots in a square
"""

import random
import matplotlib.pylab as plt

for i in range(1000):
    plt.plot(random.random(), random.random(), marker='o', color='k')
plt.axis('equal')

habi

import os
import cv2
import matplotlib.pylab as plt

HaarDirectory = '/usr/local/Cellar/opencv/2.4.9/share/OpenCV/haarcascades'
face_cascade = cv2.CascadeClassifier(os.path.join(HaarDirectory, 'haarcascade_frontalface_default.xml'))
eye_cascade = cv2.CascadeClassifier(os.path.join(HaarDirectory, 'haarcascade_eye.xml'))

Image = plt.imread('face.jpg')
BW_Image = cv2.cvtColor(Image, cv2.COLOR_BGR2GRAY)

habi

Keybase proof

I hereby claim:

• I am habi on github.
• I am habi (https://keybase.io/habi) on keybase.
• I have a public key whose fingerprint is 090B A12B A7BA F36A 6C5B 4B3D F5C2 9D9F DA96 595C

To claim this, I am signing this object:

habi

"""
Log file parser, based on http://stackoverflow.com/a/17776027/323100
"""

import re


def str2dict(filename='LogFile.log'):
    results = {}
    with open(filename, "r") as cache:

habi

import time
import numpy  # not really needed for the printing, but for nice percentage :)
import sys

print 'Ciao Fede'
print 'Here is a percentage, on the same line'
for i in numpy.arange(0, 100, 0.1):
        print '\r',  # Comma is needed.
        print 'Doing something. I am now %s%% done' % i,  # Comma is needed
        time.sleep(0.01)

habi

# based on https://gist.github.com/stefanv/2051954
from __future__ import division

import numpy as np
from pylab import *
from scipy import ndimage
import time

ion()

habi

*.aux
*.glo
*.idx
*.log
*.toc
*.ist
*.acn
*.acr
*.alg
*.bbl