garaud

garaud

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

# Author: Damien Garaud
# Date: 2014-2015
# License: Simplified BSD

"""Allow you to pipe command results into an Emacs buffer. Suppose you have an
Emacs server since you launch 'emacsclient'.

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

cspanring

// The GeoJSON object
//
// { 
//   "type": "FeatureCollection",
//   "features": [
//     { 
//       "type": "Feature",
//       "geometry": { 
//         "type": "Point", 
//         "coordinates": [42.3875, -71.1]