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Tallak Tveide tallakt

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@bellbind
bellbind / app.html
Created May 20, 2015 07:23
[electron]Use electron as a Web Server
<!doctype html>
<html><head><script src="app.js"></script></head><body></body></html>
@sasa1977
sasa1977 / xmerl_demo.ex
Last active July 26, 2023 10:07
Simple xmerl usage demo in Elixir
defmodule XmlNode do
require Record
Record.defrecord :xmlAttribute, Record.extract(:xmlAttribute, from_lib: "xmerl/include/xmerl.hrl")
Record.defrecord :xmlText, Record.extract(:xmlText, from_lib: "xmerl/include/xmerl.hrl")
def from_string(xml_string, options \\ [quiet: true]) do
{doc, []} =
xml_string
|> :binary.bin_to_list
|> :xmerl_scan.string(options)
@drbig
drbig / gist:4446871
Last active April 24, 2017 18:24
Pry session over telnet. Minimal and forking (plus a thread for the TCPServer).
drbig@swordfish:pts/16 ~/P/pry-tcprepl> cat pry-tcprepl.rb
require 'pry'
require 'pty'
class PryTcpRepl
attr_reader :thread
def initialize(where, host = '127.0.0.1', port = '9123')
@where = where
@host = host
@tenderlove
tenderlove / fibur.markdown
Created December 19, 2011 18:09

Fibur

Fibur is a library that allows concurrency during Ruby I/O operations without needing to make use of callback systems. Traditionally in Ruby, to achieve concurrency during blocking I/O operations, programmers would make use of Fibers and callbacks. Fibur eliminates the need for wrapping your I/O calls with Fibers and a callback. It allows you to write your blocking I/O calls the way you normally would, and still have concurrent execution during those I/O calls.

Example

Say you have a method that fetches data from a network resource:




  


  




    


          
    

      

        
        

          

              @Serabe
          

          

            
                Serabe
                / gist:990667
            
            

              Created
              May 25, 2011 09:38
            

          

        

      

        

  

    
    


        



  


  

        

          
          require 'matrix'
        

        

          
          

        

        

          
          def regression x, y, degree
        

        

          
            x_data = x.map {|xi| (0..degree).map{|pow| (xi**pow) }}
        

        

          
            mx = Matrix[*x_data]
        

        

          
            my = Matrix.column_vector y
        

        

          
          

        

        

          
            ((mx.t * mx).inv * mx.t * my).transpose.to_a[0].reverse
        

        

          
          end