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... and this is how the story started...

:s/foo/bar/gc replace every foo in a text with bar (confirm after each detected occurrence). goto beginning of a word (move cursor onto its first letter), type v1ey to copy that word and move cursor to target word (its first letter) and type v1ep to overwrite it with copied word (not taht overwritten word is now in clipboard, i.e. can be pastes again - easy word swaps).

Locations you should know: ~/.vimrc

Initially, do this:

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i1 = [1,2,3,4,5]
i2 = (0...(i1.size-1)).inject([]) {|pairs,x| pairs += ((x+1)...i1.size).map {|y| [i1[x],i1[y]]}}

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Screen Keybindings

• See screen manual.
• Some basics.

Definitions

<c-a> := presss control a

Window Management

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1 . cygwin installiere (x86 verion (auso nid 64bit)): source: http://cygwin.com/install.html

2 . Cygwin package manager installiere (drmit uf windows in cygwin s gliche wie apt-get uf linux distros chasch mache)

lynx -source rawgit.com/transcode-open/apt-cyg/master/apt-cyg > apt-cyg
install apt-cyg /bin

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How to install Boost (1.55 or greater)

On windows 7 or greater

Requirements

• Visual Studio installed on your system
• Admin Privileges

Sources

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# given class Computer: refactor me
class Computer
  def initialize(computer_id, data_source)
    @id = computer_id
    @data_source = data_source
  end

  def mouse
    info = @data_source.get_mouse_info(@id) 
    price = @data_source.get_mouse_price(@id) 

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lambda {
  setups = []
  events = {}
  Kernel.send :define_method, :event do |name, &block| 
    events[name] = block
  end

  Kernel.send :define_method, :setup do |&block| 
    setups << block
  end

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#include <iostream>

using namespace std;

int main() {
    int i = 10;
    int j = i;
    int &ai = i;
    int *pi = &i;
    *pi = *pi + 1;

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# client.rb
require 'socket'
require 'digest/sha1'
require 'json'
hostname = "localhost"
port = 2000
socket = TCPSocket.open(hostname, port)
1.times do |i|
  content = "#{i.to_s}: #{ARGV[0].to_s}"
  msg = {

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function filtered_img = bfilt( img, sigma_s, sigma_r)
%BFILT bilateral filter applied on img using sigma_s, sigma_r.
%   img image, spatial, range deviation sigma_s, sigma_r

    h = waitbar(0, 'Applying Bilateral Filter...');
    set(h, 'Name', 'Bilateral Filter Progress Bar');
    
    % compute window size - depends on sigma_s
    w = ceil(1.5*sigma_s);