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

nikic

New features in PHP 5.5

This is only a summary. For a full list of changes see the NEWS file.

Feature	RFC / announcement	Author
Bundled ZendOptimizer+ as OPcache	https://wiki.php.net/rfc/optimizerplus	zeev

retronym

~/code/scala build/quick/bin/scala -Xexperimental -Xmacros
Welcome to Scala version 2.10.0-M2-0045-g4573e06a27-2012-02-25 (Java HotSpot(TM) 64-Bit Server VM, Java 1.6.0_29).
Type in expressions to have them evaluated.
Type :help for more information.

scala> val methods = Set("foo", "bar")
methods: scala.collection.immutable.Set[String] = Set(foo, bar)

scala> object Dyno extends Dynamic { 
  def macro applyDynamic(mn: String)(args: Any*) = mn match { 

ziadoz

Awesome PHP

Awesome PHP has been relocated permanently to its own Github repository. No further updates will made to this gist.

Please open an issue for any new suggestions.