mfcabrera

"""
Programming task
================

Implement the method iter_sample below to make the Unit test pass. iter_sample
is supposed to peek at the first n elements of an iterator, and determine the
minimum and maximum values (using their comparison operators) found in that
sample. To make it more interesting, the method is supposed to return an
iterator which will return the same exact elements that the original one would
have yielded, i.e. the first n elements can't be missing.

mfcabrera

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

mfcabrera

In [4]: np.arange(10).astype(object).mean(axis=0)
Out[4]: 4.5

In [5]: np.__version__
Out[5]: '1.8.1'

mfcabrera

# Generic Aliases
alias ll='ls -latr'                                          # List all file in long list format by modification time
alias ..='cd ..'                                             # Go up one directory
alias ...='cd ../..'                                         # Go up two directories
alias ....='cd ../../..'                                     # Go up three directories
alias -- -='cd -'                                            # Go back
alias c='clear'                                              # Clear Screen
alias k='clear'                                              # Clear Screen
alias cls='clear'                                            # Clear Screen
alias _="sudo"                                               # Execute with sudo

mfcabrera

COPY (
    
    select r.cluster_id,  r.token_array from hotel4x.review as r where    
    r.lang = 'en' and  r.cluster_id in 
    
    (SELECT h.cluster_id
    FROM hotel4x.hotel AS h
    INNER JOIN (
         SELECT s.cluster_id, COUNT(*) AS source_count
         FROM hotel4x.source AS s

mfcabrera

def delimited(filename, delimiter=' ', bufsize=4096):
    '''
    Creates a generator of word from a file based on a delimiter (by default white space).
    '''
    
    buf = ''
    with open(filename) as file:
        while True:
            newbuf = file.read(bufsize)
            if not newbuf:

mfcabrera

#!/usr/bin/perl

# Program to filter Wikipedia XML dumps to "clean" text consisting only of lowercase
# letters (a-z, converted from A-Z), and spaces (never consecutive).  
# All other characters are converted to spaces.  Only text which normally appears 
# in the web browser is displayed.  Tables are removed.  Image captions are 
# preserved.  Links are converted to normal text.  Digits are spelled out.

# Adapted for the german language based on the script written by Matt Mahoney
# http://mattmahoney.net/dc/textdata.html  

mfcabrera

 <ref...> ... </ref>

mfcabrera

#make sure you use macruby

framework "ScriptingBridge" #let's use the scripting bridge framework


# this is aweful - maybe a wrapper would be nice

# you can ge this BundleIdentifier using the mdls
# mdls -name kMDItemCFBundleIdentifier /Applications/Things.app
things =  SBApplication.applicationWithBundleIdentifier("com.culturedcode.things")

mfcabrera

require 'rubygems'
require 'open-uri'
require 'pp'
require 'nokogiri'

class Lecture
  attr_accessor :module_id,:title,:ects, :cycle,:language,:area,:name
  attr_reader :urlimytum
  @@urlimytum_root = "https://drehscheibe.in.tum.de/myintum/kurs_verwaltung/"