dschuermann

# This file is part of pylastfp.
# Copyright 2010, Adrian Sampson.
#
# pylastfp is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# pylastfp is distributed in the hope that it will be useful,

dexterous

#!/usr/bin/env lein-exec

(println (group-by (fn [e] (if e true false)) [true, false, -1, 0, 1, 2, nil, (new Object), [], #{}, '(), [(new Object)], {}, {:foo, (new Object)}]))

;;{true [true -1 0 1 2 #<Object java.lang.Object@4d8ce14a> [] #{} () [#<Object java.lang.Object@48ff4cf>] {} {:foo #<Object java.lang.Object@7114460>}], false [false nil]}

christiangenco

$("h3.list_header").each(function(sectionIndex){
  var sectionName = $(this).text().replace(/Chapter .+ - /,"").replace(/\:/,'-').replace(/^(V|I|X)+\. /,'');
  $(this).parent().next().find("a.lecture-link").each(function(videoIndex){
    var $lectureLink = $(this);
    var videoName = $.trim($lectureLink.text());
    var downloadLink = $lectureLink.attr('href').replace('view','download.mp4');
    var cookieHeader = ' --header \"Cookie:'+ document.cookie + '\" ';
    
    var directory = (sectionIndex+1) + '. ' + sectionName + '/';
    var filename = directory + (videoIndex+1) + '. ' + videoName + '.mp4';

erikh

#!/usr/bin/env sh

##
# This is script with usefull tips taken from:
#   https://github.com/mathiasbynens/dotfiles/blob/master/.osx
#
# install it:
#   curl -sL https://raw.github.com/gist/2108403/hack.sh | sh
#

a34729t

package foo;

import edu.stanford.nlp.fsm.ExactGrammarCompactor;
import edu.stanford.nlp.io.IOUtils;
import edu.stanford.nlp.io.NumberRangeFileFilter;
import edu.stanford.nlp.io.NumberRangesFileFilter;
import edu.stanford.nlp.ling.*;
import edu.stanford.nlp.objectbank.TokenizerFactory;
import edu.stanford.nlp.parser.ViterbiParser;
import edu.stanford.nlp.parser.KBestViterbiParser;

yanofsky

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.

In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit

cnh

'''
x = 'Writing Fast Tests Against Enterprise Rails 60min \n Overdoing it in python 45min'
print x
y = x.split()
print y
'''

    
import re

cnh

def login():
	import wx

	from send_pass import send_pwd

	class AP_App(wx.App):
	 def OnInit(self):
	  frame = AP_MainFrame ("Test application", (0, 0), (650, 350))
	# frame.Show()

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

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This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

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