vargheseraphy

Install you tube Downloader from linux terminal

sudo apt-get install youtube-dl youtube-dl

youtube-dl -cit http.....(paste the link) youtube-dl http://www.youtube.com/watch?v=_z-hEyVQDRA

You can also specify other options

vargheseraphy

irb1(main):029:0> "- dredtrnedtdj - uifsdkghdkjghjh ".split(/- /)
=> ["", "dredtrnedtdj ", "uifsdkghdkjghjh "]

irb1(main):031:0> "- dredtrnedtdj - fsjfsgdgdgdffff-gdfjdgjdgdg".split(/- /).compact.reject(&:empty?).each {|t| puts "#{t}"} 
dredtrnedtdj 
fsjfsgdgdgdffff-gdfjdgjdgdg
=> ["dredtrnedtdj ", "uifsdkghdkjghjh ", "fsjfsgdgdgdffff-gdfjdgjdgdg"]

irb1(main):032:0> "- dredtrnedtdj  - fsjfsgdgdgdffff - gdfjdgjdgdg".split(/- /).compact.reject(&:empty?).each {|t| puts "#{t}"}
dredtrnedtdj 

vargheseraphy

http://www.tutorialspoint.com/ruby-on-rails/rails-migrations.htm

http://railsguides.net/change-data-in-migrations-like-a-boss/

http://makandracards.com/makandra/15575-how-to-write-complex-migrations-in-rails

vargheseraphy

class ChangeValueTable_nameColumn_name < ActiveRecord::Migration
 def up
   db.update("UPDATE table_name SET column_name = 'new_value' WHERE party = 'old_value' ")
 end

 def down
   # action to be done after completing the up , 
   # may be deleting the column after completing the values 
 end

vargheseraphy

"hello".gsub(/[aeiou]/, '*')                  #=> "h*ll*"
"hello".gsub(/([aeiou])/, '<\1>')             #=> "h<e>ll<o>"
"hello".gsub(/./) {|s| s.ord.to_s + ' '}      #=> "104 101 108 108 111 "
"hello".gsub(/(?<foo>[aeiou])/, '{\k<foo>}')  #=> "h{e}ll{o}"
'hello'.gsub(/[eo]/, 'e' => 3, 'o' => '*')    #=> "h3ll*"

vargheseraphy

http://www.sitepoint.com/guide-ruby-collections-part-arrays/ http://www.tutorialspoint.com/ruby/ruby_arrays.htm

vargheseraphy

6. Learning to Classify Text

Detecting patterns is a central part of Natural Language Processing. Words ending in -ed tend to be past tense verbs (5.). Frequent use of will is indicative of news text (3). These observable patterns — word structure and word frequency — happen to correlate with particular aspects of meaning, such as tense and topic. But how did we know where to start looking, which aspects of form to associate with which aspects of meaning?

The goal of this chapter is to answer the following questions:

How can we identify particular features of language data that are salient for classifying it? How can we construct models of language that can be used to perform language processing tasks automatically? What can we learn about language from these models?

vargheseraphy

# http://www.icicletech.com/blog/web-scraping-with-ruby-using-mechanize-and-nokogiri-gems
require "mechanize"

url = ARGV[0]
fp = File.new("wikilinks.txt", "w")

agent = Mechanize.new { |agent| agent.user_agent_alias = "Mac Safari" }

html = agent.get(url).body

vargheseraphy

​Negotiation Tactic #1 – Is That Your Best Offer?

Negotiation Tactic #2 – Referencing an Expert Opinion

Negotiation Tactic #3 – Asking a Closed-Ended Question

Negotiation Tactic #4 – Asking an Open-Ended Question

Negotiation Tactic #5 – Concede Small

vargheseraphy

require 'date'
Date.parse("November 17, 2014").strftime('%Y-%m-%d')
#=>"2014-11-17"

Date.parse("November 17, 2014").strftime('%y/%m/%d')
#=>"14/11/17"

# change the '-', '/' or use any separators