collect

One really newbie question. I'm working on a small python script for my home use, that will collect data of a specific air ticket. I want to extract the data from skyscanner (using BeautifulSoap and urllib). Example: http://www.skyscanner.net/flights/lond/rome/120922/120929/airfares-from-london-to-rome-in-september-2012.html And I'm interested in all the data that are stored in this kind of element, specially the price: http://shrani.si/f/1w/An/1caIzEzT/capture.png Because they are not located in the HTML, can I extract them? zenpoy I believe the problem is that these values are rendered

I have a class like this: class Foo { static hasMany = [bars: Bar] } When I write: Foo.getAll() I get a list of Foo objects like this: [ Foo1, Foo2, Foo3 ] When I write: Foo.getAll().bars I get a list of lists of Bar object like this: [ [ Bar1, Bar2 ], [ Bar2, Bar3 ], [ Bar1, Bar4 ] ] But what I want is a unique list of Bar objects like this: [ Bar1, Bar2, Bar3, Bar4 ] My end goal is to have a unique list of ids of the Bar object in the list above, like this: [ 1, 2, 3, 4 ] I have tried variations of the collect method and I have also tried the spread operator but I'm not having any luck. For

What is the Linq equivalent to the map! or collect! method in Ruby? a = [ "a", "b", "c", "d" ] a.collect! {|x| x + "!" } a #=> [ "a!", "b!", "c!", "d!" ] I could do this by iterating over the collection with a foreach, but I was wondering if there was a more elegant Linq solution. Map = Select var x = new string[] { "a", "b", "c", "d"}.Select(s => s+"!"); The higher-order function map is best represented in Enumerable.Select which is an extension method in System.Linq . In case you are curious the other higher-order functions break out like this: reduce -> Enumerable.Aggregate filter ->

I'm going through log file that is too big to fit into memory and collecting 2 type of expressions, what is better functional alternative to my iterative snippet below? def streamData(file: File, errorPat: Regex, loginPat: Regex): List[(String, String)]={ val lines : Iterator[String] = io.Source.fromFile(file).getLines() val logins: mutable.Map[String, String] = new mutable.HashMap[String, String]() val errors: mutable.ListBuffer[(String, String)] = mutable.ListBuffer.empty for (line <- lines){ line match { case errorPat(date,ip)=> errors.append((ip,date)) case loginPat(date,user,ip,id) =