codejitsu

1. General Background and Overview

• 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.
• Models and Issues in Data Stream Systems
• 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
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

codejitsu

/**
 * D Holbrook
 *
 * Code Club: PO1
 *
 * (*) Define a binary tree data structure and related fundamental operations.
 *
 * Use whichever language features are the best fit (this will depend on the language you have selected).  The following operations should be supported:
 *
 *    Constructors

codejitsu

Setting up Webfaction for modern Django deployment

last updated: 4/5/2011

note that this stuff is always a moving target, much of this has been cribbed and combined from various blog posts. Much of the information was out of date from those, and if it is more than a couple months after the last updated date above, consider some of this likely to now be out of date.